Aiml smart vertiport in box autonomous multimodal physical and digital infrastructure
The vertiport system addresses urban traffic and air travel challenges by managing unmanned vehicles with autonomous AI technology, enabling efficient on-demand delivery and reducing congestion.
Patent Information
- Application Number
- JP2024153071
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-09-06
- Filing Date
- 2024-09-05
- Publication Date
- 2025-03-18
AI Technical Summary
Urban areas face challenges with traffic congestion and pollution due to high population density, and traditional air travel is limited by resource requirements, noise, and time constraints, making it difficult to achieve efficient air movement within cities.
A vertiport system for managing unmanned vehicles, utilizing autonomous AI/machine learning technology to provide a station for general-purpose services, including loading/unloading, delivery, air traffic control, charging, and data distribution, supporting drones and unmanned aerial vehicles.
The vertiport system enables on-demand delivery services, efficiently manages unmanned vehicle operations, and reduces traffic congestion by providing a scalable and flexible solution for urban air transportation.
Smart Images

Figure 2025037850000001_ABST
Abstract
Description
[Technical field]
[0001] The present invention relates generally to management of unmanned vehicles by a Vehicle Management System. [Background technology]
[0002] This application claims the benefit of U.S. Provisional Patent Application No. 62 / 842,757, filed May 04, 2020, which is a part of U.S. Patent Application No. 18 / 451,476, which claims the benefit of U.S. Patent Application No. 16 / 86,484, which is a part of U.S. Patent Application No. 18 / 451,476, which claims the benefit of U.S. Patent Application No. 16 / 86,484, which claims the benefit of U.S. Provisional Patent Application No. 62 / 842,757, filed May 04, 20 ... Provisional Patent Application No. 62 / 842,757, filed May 04, 2020, which claims the benefit of U.S. Provisional Patent Application No. 62 / 842,757, filed May 04, 2020, which claims the benefit of U.S. Provisional Patent Application No. 62 / 842,757,
[0003] This application also claims priority to U.S. Patent Application No. 17 / 953,091, filed September 22, 2022, which claims priority to related, commonly owned, pending U.S. Patent Application Serial No. 17 / 951,091, filed September 22, the entire disclosure of which is incorporated herein by reference.
[0004] This application also claims the benefit of U.S. patent application Ser. No. 16 / 86,484, entitled "Smart Drone Rooftop and Ground Airport System," filed on May 04, 2020, which claims priority to a related, commonly owned, pending Canadian patent application Serial No. CA3177091A, the disclosure of which is incorporated herein by reference in its entirety.
[0005] Small, personal, automated aircraft can provide efficient transportation because they can travel direct routes. They can be particularly efficient in densely populated areas with heavy road traffic. However, densely transported areas such as cities typically have limited and expensive real estate, and typically do not have large areas of available land suitable for airports within the city.
[0006] Generally, there are a wide variety of transportation modes available within a city. People can walk, bike, drive, take public transportation, or use carpooling services. However, as population density and demand for land increase, many cities are increasingly experiencing problems with traffic congestion and associated pollution. Thus, there is a need to expand the available transportation modes in a way that can reduce traffic volume without requiring the use of large amounts of land.
[0007] Air movement within cities is limited compared to ground travel. Air movement can have many requirements that make intra-city air movement difficult. For example, aircraft require significant resources such as fuel and infrastructure (e.g., runways), generate significant noise, and require significant time for boarding and disembarking, each of which presents technical challenges to achieving greater volumes of air movement within a city or between adjacent cities. However, providing such air movement can reduce travel times and alleviate problems associated with traffic congestion over purely ground-based approaches.
[0008] Therefore, there is a need for a Vertiport system to manage unmanned vehicles for delivering goods or transporting passengers from one location to another. Summary of the Invention
[0009] The present invention relates to a Vertiport system for managing unmanned vehicles. The system provides an autonomous artificial intelligence / machine learning based unmanned vehicle Vertiport station for universal servicing of robotic unmanned vehicles and its support. Hardware and equipment related to loading and unloading, delivery, deployment and arrival, dispatch, air traffic control, charging, storage and garaging, weather and data distribution and retrieval. Drones, including unmanned aerial vehicles, drones, and the Unmanned Vehicle Operating System (UVOS) drone operating.The System (DOS) supports the following capabilities: 1) Providing unmanned vehicles for on-demand delivery services; 2) Unmanned vehicles are parked, stored, and / or charged in garages and / or on landing pads, smart mailbox landing pads, and / or portable landing pads; 3) Place orders via mobile, land, and TV applications using wired and / or wireless connections; 4) An unmanned vehicle or drone AI cloud (artificial intelligence cloud) diagram that, if weather allows for delivery to and from the requested location at the requested time, exits the diagram; 5) The unmanned vehicle or drone AI cloud indicates which unmanned vehicle or drone is available using the fastest, most convenient, safest and properly equipped vehicle for the weather conditions, payload requirements, and any other specific demand options; 6) The app then allows the customer to select the option. 8) The drone arrives at its destination, rings the smart doorbell (if available), sends a text message and / or push notification to the customer, notifying them of its arrival, and then proceeds with the customer order specifications, which are then prepaid through the mobile, land, or TV app, where they receive their receipt and an automatic text, push notification, and / or email of the purchase; 7) The merchant is automatically notified by its POS system and departments of interest at its location (shipping, kitchen, lab or pharmacy dispensing, etc.) that the order has been placed, the customer has paid in full, and selected to use the unmanned vehicle delivery dispatch option 8), the UTM deploys the unmanned vehicle to a landing pad to unload, drop off, and pick up; 9) The unmanned vehicle loads at its destination and departs; 10) The drone arrives at its destination, rings the smart doorbell (if available), sends a text message and / or push notification of its arrival, verifies the receiver of the package, releases the product to the consumer, and notifies the POS that the order has been delivered.
[0010] This Summary is provided to introduce a selection of concepts in a simplified form. The concepts are further described in the Detailed Description section. Elements or steps other than those described in this Summary are possible, and no elements or steps are necessarily required. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter. The claimed subject matter is not limited to implementations that solve any or all of the disadvantages noted in any part of this disclosure. [Brief description of the drawings]
[0011] The novel features of the present disclosure are described herein. A better understanding of the features and advantages of the present disclosure will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the disclosure are utilized, and the accompanying drawings, in which: [Figure 1] FIG. 1 shows a smart AI / ML autonomous Vertiport system for unmanned vehicle management according to the present invention. [Diagram 2] FIG. 1 illustrates a notification system between unmanned vehicles and various customer devices regarding package delivery in accordance with the present invention. [Diagram 3] FIG. 3 is a diagram showing an unmanned vehicle that is good for delivery. [Figure 4] FIG. 1 illustrates a successful delivery system via drones or unmanned vehicles, according to one embodiment of the present invention. [Diagram 5] FIG. 5 shows the smart mailbox landing pad for smooth pickup / delivery. [Figure 6] FIG. 6 shows a smart rooftop landing pad on a residential home. [Figure 7] FIG. 7 illustrates various smart drone landing pads used by unmanned vehicles during landing / takeoff procedures in accordance with the present invention. [Figure 8] Figure 8 shows the Vertiport-in-a-Box installed in a home. [Figure 9]FIG. 9 shows a Doneport / Vertiport based successful delivery system according to the present invention. [Figure 10] FIG. 10 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 11] FIG. 11 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 12] FIG. 12 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 13] FIG. 13 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 14] FIG. 14 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 15] FIG. 15 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 16] FIG. 16 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 17] FIG. 17 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 18] FIG. 18 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 19] FIG. 19 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 20] FIG. 20 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 21] FIG. 21 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. [Figure 22] FIG. 22 shows the ground design of a Doneport / Vertiport based smart delivery system according to the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0012] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, it will be apparent to those skilled in the art that the present invention may be practiced without these specific details. The descriptions and representations herein are of the common meaning used by those skilled in the art or through experience to most effectively convey the substance of their work to others skilled in the art. In other instances, well-known methods, procedures, components, and circuits have not been described in detail to avoid unnecessarily obscuring aspects of the present invention.
[0013] Reference herein to an embodiment or embodiments means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of the phrase "an embodiment" in various places in this specification does not necessarily all refer to the same embodiment, nor is it a separate or alternative embodiment that is mutually exclusive with other embodiments. Furthermore, the order of blocks in a process flow chart or diagram depicting one or more embodiments of the invention does not inherently indicate any particular order, nor does it imply any limitations on the invention.
[0014] These and other aspects of the present disclosure are described in further detail in the following sections. It should be noted that the term "blockchain" is often used interchangeably with the term "distributed ledger." Therefore, it should be noted that the term "distributed ledger" as used herein should be interpreted broadly to include both blockchains and other types of distributed ledgers that do not employ this particular data structure / format.
[0015] The term "cryptocurrency" may refer to a digital currency in which cryptography is used to regulate the creation of monetary units and verify the transfer of funds. Many cryptocurrencies include the use of blockchain to provide rewards, government, data verification, mining, ledger management, security, and prevent fraudulent activities such as double spending. Some embodiments of the present disclosure may be used in alternative cryptocurrency mechanisms other than blockchain. The systems, methods, and computer program products described herein may be applied to both centralized and decentralized cryptocurrency networks and databases.
[0016] In one embodiment, the present invention relates to a smart AI / ML autonomous VERTIPORT system for unmanned vehicle management in physical and autonomous shipping and delivery of cargo and people using unmanned vehicles, drones, eVTOLs, VTOLs, UGVs, UMVs, robots, or vehicles. The system can be utilized for domestic and commercial delivery operations and in all public and private sectors.
[0017] In one embodiment, the system includes, but is not limited to, a smart charging or landing pad, an unmanned vehicle drive-thru window, an unmanned vehicle sliding shelf, a quick-change unmanned vehicle battery station, an unmanned vehicle detector, an unmanned vehicle elevator, hatch manual or automatic door entry / exit, an ATC base station, a UTM base station, an unmanned vehicle repair station, an unmanned vehicle charging station, a smart mailbox landing pad, a weather station, smart glasses, a smart controller, and a smart delivery doorbell.
[0018] In one embodiment, the smart delivery doorbell may be, but is not limited to, a smart doorbell, a delivery doorbell, a doorbell, an intelligent doorbell, a smart doorbell for locking / unlocking doors, etc.
[0019] In one embodiment, the unmanned vehicle may be, but is not limited to, a drone, an unmanned aerial vehicle (UAV), an unmanned ground vehicle (UGV), a surface vehicle, or an unmanned marine vehicle (UMV).
[0020] In one embodiment, the smart drone landing pad further connects to a remote smart doorbell and connects to a wireless smartwatch, which upon receipt of the package, receive a package delivery notification from a processing node in the smart drone landing pad.
[0021] In another embodiment, a smart delivery doorbell is used to notify users of product delivery. The delivery of the cargo is done using unmanned vehicles. The hardware can have scalable, interoperable, modular sensors, data agnostic, and services that can range based on need.
[0022] In some embodiments, the unmanned vehicle may be equipped with, but is not limited to, a camera sensor, a light sensor, a solar panel for charging, a wireless networking sensor, a collision avoidance detection sensor, or a temperature sensor.
[0023] In some embodiments, the system provides a data miner blockchain node solution on a node-centric HGTP Layer 0 / Layer 1 data network, where any device including unmanned vehicles, smart landing pads, smart doorbells, charging stations, containers, weather towers, or smart glasses can act as a data miner and use smart contracts, state channels, NFTs, NFRs, AIML, or OpenAI (ChatGTP).
[0024] In one embodiment, the system further includes a CRM and multi-level marketing, sales, and service entity connected to the system.
[0025] In one embodiment, the unmanned vehicle may be, but is not limited to, autonomous, semi-autonomous, or remotely and manually operated.
[0026] In one embodiment, the system is connected to a metaverse solution where users can interact with all physical nodes through a virtual world.
[0027] In one embodiment, the system includes a pilot wearing smart glasses with VRARXRHR, which can be used to control unmanned vehicles or to virtually interact with the physical world by connecting to the metaverse. They can also connect the smart glasses to weather sensors to see real-world weather. The smart glasses have optical lenses that automatically adjust to the user / pilot's eyes, and the frames of the smart glasses are interchangeable according to the user / pilot requirements, and are powered by OpenAI and ChartGPT.
[0028] In one embodiment, the system is an AI / ML multimodal automated infrastructure transportation app for people and cargo delivery. The system acts as a Vertiport in a box system and a drone in a box system, providing ancillary solutions. The system contains discoverable verified trusted data, has smart contracts NRF rights and DBOR with royalties, social and carbon credits, ESG rewards.
[0029] In one embodiment, the unmanned vehicles of the system include a hybrid multi-modal fuel tank, i.e., they can run on hydrogen or electric charge.
[0030] In one embodiment, system components / auxiliaries further include, but are not limited to, router pulling, sharing, renting data connections to other people based on the data used, zero point field energy (for anything that requires energy), ion propulsion (for anything that moves), inductive battery charging, and AI smart drone delivery containers.
[0031] In one embodiment, while transporting the item, the system can select one of the unmanned vehicle's next destinations for charging based on its remaining battery usage and the availability of space at the next landing pad, and then send it to its next order or park it at the nearest smart rooftop AirPort parking station, where it can recharge and wait for further instructions.
[0032] In some embodiments, the system may provide power supply equipment for charging and refueling the unmanned vehicle, inspection equipment for inspecting the unmanned vehicle, and maintenance equipment for repairing or maintaining the unmanned vehicle.
[0033] In one embodiment, the system can be used for surveillance and can deploy security drones for monitoring and tracking of targets / suspects. The system can connect to all cooperating law enforcement entities and other cooperating command centers to provide a real-time view of the crime situational awareness while recording video and audio for storage.
[0034] In one embodiment, the system further includes an AI / ML smart cloud router that can mine and validate data inside the home or business while connected to smart external devices that can also mine and validate data.
[0035] In some embodiments, the system comprises solar panels and / or wind turbines for the roof and ground stations for generating electricity for further use within the system by various components.
[0036] In one embodiment, the unmanned vehicles can be equipped to stop vehicles with non-lethal deterrents, restraints, tracking device nets, taskers, tire puncturing solutions, EMP can be deployed on targets, etc. The unmanned vehicles can autonomously service and commission additional unmanned vehicles for arm surveillance and ISR solutions. Face, voice, body, object, vehicle recognition.
[0037] In some embodiments, the unmanned vehicle flies the next of what may be multiple legs, waypoints, stations, or vectors of the mission.A) looking at its itinerary and real-time or real-time data between decentralized nodes to see which node is next; B) communicating in an authenticated manner to ensure the next node is ready for its arrival; C) upon arrival at another node, updating the schedule of commitments and activity logs that sync across all participants and nodes in the network; D) if along the way, the drone discovers that it must update its itinerary because a node it was involved in is no longer available or has reported having weather that is not suitable for flight and / or ground delivery, it asks the Drone Flight Planner (DFP) to update the itinerary and the changes are pushed to the affected downstream nodes; E) once the drone arrives at the destination node, the delivery is made and notifications to the smart doorbell are ranked wirelessly with the smart doorbell chime, text, messenger, video, and / or push notifications on the smartwatch; The smart phone, smart TV, or online will authenticate receipt of the delivery via a mobile application, cell phone, biometric identification, wand, or any other authentication means, the drone will land on the smart container, smart landing pad, smart mailbox landing pad, or smart parcel drone landing pad, the receiving party, the smart container, smart landing pad, smart mailbox landing pad, or smart parcel drone landing pad will close the container or the receiving party will accept the disposable container, the drone mission database will be updated to record the node-centric mesh layer 0 and layer 1 network, state channels, smart contracts, NFTs, autonomous mobility data exchange as trusted, verified data with rights attached and discoverable, the drone will charge or move to a charging station if the destination is not capable of recharging the node, or return to a home base such as a smart rooftop and ground doneport / vertiport / airport and / or head if capable.
[0038] In some embodiments, the system involves using existing semiconductors, such as single crystal diamond (scd) within the dnv unit, to form the dnv's (other misc materials are ceramics and metals among other materials) to form the dnv / tritium battery.
[0039] In some embodiments, the DNV / Tritium battery(ies) can be integrated with any blockchain, blockchain utility token, AI / ML, IoT, edge computing, cloud network system(s), such as smart drone rooftop and smart delivery drone on ground doneport / vertiport / airport utility infrastructure systems, smart drone in a box systems, smart mailbox landing pads, smart landing pads, smart drone garages / hangars / charging stations, smart drone doorbells smart sensors, smart weather equipment, or others that can be introduced into the system as nodes.
[0040] In some embodiments, all nodes deployed on smart rooftops and ground doneports / vertiports / airports are machines and every machine has the option to integrate with or replace existing batteries using dnv / tritium batteries for energy resources.
[0041] In some embodiments, node Internet of Things (IoT) edge computing with cloud integration, AI, ML, and blockchain can enable long life usage of machine hardware when combined with DNV / tritium batteries.
[0042] In some embodiments, a system having nodes (machines) integrating DNV / Tritium batteries can be an open platform and can be agnostic, holistic, interoperable, modular, and scalable.
[0043] In some embodiments, our smart drone rooftop and ground doneport / airport system is designed entirely via blockchain and low latency blockchain consensus blockchain functionality for any or all data passing through the system via nodes.
[0044] In some embodiments, the data can consist of any type and / or size of data from any type of node that collects it, e.g., static and / or dynamic video, audio, sensor data, internal and / or external information that is nano, macro, meso and / or micro. This data information is integrated with cloud, IoT, sensors (nodes), AI / ML and blockchain, which collects and records data with low latency, performance, telemetry, IoT, and dissemination of data to other devices (nodes) that are part of the network.
[0045] In some embodiments, the system includes a smart egde computing server that processes data from the nodes, distributes it to the cloud, and then transmits it to all participating devices (nodes).
[0046] In some embodiments, the encryption of the data is verified prior to distribution.
[0047] In some embodiments, the blockchain ledgers, harvests and records all data information at all stages from nodes in the network for current or future use from any node that is part of the network. This data can be used as a node blockchain utility token, as it is a blockchain-based asset that can be purchased, licensed and / or leased with the intent to later use and / or sell.
[0048] In some embodiments, any machine (node) on the internal network and / or any machine (node) connected to another external machine, network, or system may be integrated as a node that collects data to be processed and monetized for current or future use, using either the system utility token and / or the third part utility token to transact business from data usage and / or its distribution.
[0049] In some embodiments, the collected data can be integrated with other network systems, data and / or machines that have their own data from their own nodes and the data and / or machines have their own APIs, SDKs, and / or any other software, firmware, SaaS, PaaS, DaaS, IAsss available for integration.
[0050] In some embodiments, nodes are capable of communicating data and processes through AI / ML (Artificial Intelligence / Machine Learning) and can make real-time decisions or plans for using the data in the near or distant future.
[0051] In some embodiments, an example is unmanned flight system checks, flight plans, pre-flight authorizations, weather forecasts between waypoints, and drones. In addition to emergency flight changes and landing locations using ports / vertiports / airports / landing pads, drones (nodes) that were preparing for the availability of drone landing pads and / or drone charging stations before the final destination. This drone (node) may need to communicate with the landing pad (node) destination and / or waypoints that en-route drones (drones0) are using similar virtual routes / waypoints and are currently flying. During flight, these en-route drones have sensors (nodes) that can collect real-time data that can be used via AI / ML by pre-flight drones. The pre-flight drones can calculate the weather probability and requirements of payload delivery and determine that the best, minimum and highest probability of success, or safest flight route is different waypoints to avoid the weather. At the same time, incorporating node data from another system reporting planes (not within the system network as internal nodes) will fly within the area over the next 5 minutes that need to be avoided. This can delay the takeoff of the pre-flight drones. Pre-flight drones can now take all the real-time data from each resource and at least understand paths to resistance and success.
[0052] In one embodiment, nodes (machines) play a vital role in collecting, storing and recording data. This data can be authenticated, encrypted, verified, collected, shared, sorted, backed up and stored in libraries for real-time and / or future use. Blockchain is used to track every single action and transaction from start to finish.
[0053] In some embodiments, edge computing for IoT connected to a cloud network enables very low latency processing at the node location.
[0054] In some embodiments, the data can then be monetized as blockchain assets and utility tokens.
[0055] In some embodiments, some examples of monetized data are weather data, safety management system data reports, safety risk management data reports, mission data reports, mapping data reports, video, audio, dynamic, and static.
[0056] In some embodiments, the blockchain and blink chain / low latency blockchain consensus algorithm is integrated with Byzantine rings, shards, nodes, validators, among other programmatic techniques that will reduce consensus latency, while security in Byzantine fault tolerant scenarios is a latency-aware blockchain that provides a range of consensus latencies. This enforces a low latency, scalable distributed protocol by selecting validators for the blockchain in each shard to achieve low latency consensus among validators from the top, while maintaining security guarantees that an attacker cannot take over a particular shard by concentrating its efforts within the shard's vicinity.
[0057] In some embodiments, examples of machine nodes for air, ground, and water that can provide data include, but are not limited to, smart drones (EV, EVTOL, VTOL, UAV, UAS, UMV, USV, AMV), smart drone landing pads, smart drone charging stations, smart drone ports, smart drone sensors, smart drone mailboxes / hangers, smart drone landing pads, weather equipment, weather sensors, cameras, de-icers, anti-icers, lighting fixtures and systems, drone chutes, drone elevators, drone shafts, mobile devices, or network hardware.
[0058] In some embodiments, examples of node crossing communications using data with ai / ml for real-time or near real-time decision making include, but are not limited to, drone to drone and / or drone to drone and / or drone to drone and / or drone to drone smart drone landing pads include any communication and decision making using any type of data (telemetry data, micro, meso, macro, and nano data, etc.) received and shared using ai / ml and blockchain.
[0059] In one embodiment, UAVs can be classified from different perspectives. UAV categories typically focus on their functionality and capabilities. The six most common function-based categories applicable to UAVs include: 1) logistics-UAVs designed for transport and delivery functions; 2) UAVs performing law enforcement and military intelligence gathering functions; 4) utilizing existing models of UAVs to test and improve the design of future generations of UAVs; 5) focusing on research and development and development to test and improve targets that simulate enemy aircraft or missiles; and 6) UAVs here are utilized for military missions that require long-term pre-attack surveillance and high-risk operations to minimize human disadvantage.
[0060] In some embodiments, the smart landing pad includes solar energy panels, mailbox flags, strobe lights, landing sensors, near field communication (NFC) and wireless fidelity / wireless internet (Wi-Fi) systems. The solar energy panels power all integrated components of the landing pad, making the landing pad and its integrated systems self-sustaining. The landing sensors, aided by beacon lights and an integrated Wi-Fi system, allow an approaching UAV to autonomously locate the pad and land safely at the center of the platform. The integrated NFC enables communication between the landing pad and its owner via a mobile device, transmitting both functional and marketing information to the end user.
[0061] The landing pad assembly 100 is attached to the ground utilizing a support tube 102 in accordance with the present invention. The assembly 100 includes the support tube 102, quick release pin 104, telescoping tube 106, tube-to-pad adapter 108, landing pad assembly 110, landing sensor 112, beacon light 114, near field communication (NFC) transmitter / receiver 116, wireless fidelity / wireless internet (Wi-Fi) system 118, solar panel 120, mailbox bracket 122, mailbox flag 124, wall bracket 126, and optional adapter plate 128, which supports the landing pad assembly 110. The tubing 102 supporting the landing pad assembly 110 can be utilized for direct mounting to any hard surface, including wood or concrete foundations.
[0062] The landing pad is embedded with a solar panel 120 designed to provide uninterrupted power to the assembly 100. Functionally, the landing pad 110 utilizes an embedded NFC transmitter / receiver 116 and a built-in Wi-Fi 118 system to establish wireless data communication with the incoming UAV 200. These systems are designed to utilize a Global Positioning System (GPS) to guide the incoming UAV 200 to the landing pad 110. Upon approaching the assembly 100, the UAV 200 can rely on the built-in lending sensor 112 and beacon light 114 of the landing pad 110 to guide the landing pad 110 to its final landing position. The entire process is controlled / monitored by the end user via readily available electronic devices such as smartphones, tables, and laptops.
[0063] As shown in FIG. 4, the landing pad 110 can be attached to a residential or commercial oval mailbox, as shown in FIG. 5, the landing pad 110 is securely attached to the mailbox 300 using two triangular mailbox brackets 122, as shown in FIG. 5, in the situation where the residential or commercial mailbox is a rectangular shape 400, the landing pad 110 can be attached to the pad adapter 108 directly or using a tube,
[0064] In some embodiments, there is a physical doorbell button, wireless doorbell activation (can be any wireless like Blue Tooth, or short range Wi-Fi, Li-Fi and / or frequency hop between the network and the frequency spectrum). The communication and network is agnostic and interoperable in the sense that any new and / or legacy network can operate on it and any software and / or specific metadata can be integrated into it, for example using APIs, APKs, SDKs and / or firmware.
[0065] In another embodiment, sensors on the doorbell and chime range but are not limited to: insect noise suppression, rodent noise suppression, mosquito UV or other light suppression, bird noise suppression, chemicals, ambient air, moisture, humidity, rain, origin point, smoking, fog, time of day light sensors, thermal imaging, LiDAR, RADAR, computer vision, AIML, pollination air levels, interior air pollutants, smoke, radiation, and / or radon levels to be applied as custom builds. The doorbell has an emergency / home intrusion / help strobe light that flashes when activated by building occupants, which can also notify local authorities and dispatch. The camera can be used to read any type of barcode, such as QR codes, shipping codes, delivery codes. A home or business owner can scan this barcode in front of the camera, which will notify participating and selected shipping companies, carriers and / or ride-hailing drivers or drone services to pick up a package that is ready. From there, a mobile application can be offered to offer a guest one-time purchase, or SaaS service membership levels provide available options. Options such as camera movement activation. Sound activation to activate the camera and microphone. Two-way sound communication with video and audio to activate the camera, as well as the option to record and store the event. This information can be recorded directly to an SD or similar card (interoperable for storage type) that can be removed from the doorbell for later use or storage. It can also be automatically stored in a cloud database, or stored using both methods. Someone is delivering a package, the camera and microphone allow the customer to see who is at their door from their phone, and receive push notifications when the product or service is being used, so that the customer is notified in real time, or near real time, on their phone if a package has been delivered. The doorbell will automatically ring when a driver arrives, a drone arrives, or a robot arrives. Any mode of transportation can be integrated for this delivery feature five times.This is for both physical drivers and autonomous delivery drivers. Family and friends packages allow multiple authorized parties to use the service or accept packages. Other information such as AGL (Above Ground Level), MSL (Mean Sea Level), MSL (Mean Sea Level), weather alerts, METAR (Meteorological Aerosol Reporting), TAF (Thermal Aerosol Forecast), ice and snow reports, digital twin predictive analytics and lifecycle data, metaverse, 3D and 4D GUI, (Graphical User Interface) reports, and authenticated meta and big data and / or supplemental data based on autonomous weather capabilities, or other information such as weather information that can span industries such as drones, robots, unmanned ground vehicles, and / or unmanned ships (also known as unmanned, all known as unmanned) can be provided in real-time or near real-time to both delivery and shipping participants, or other services that require weather information, which can span industries such as drones, robots, unmanned ground vehicles, and / or unmanned ships (also known as unmanned, all known as unmanned). A node-centric mesh network can provide situational awareness, de-conflict, sense, detect and avoid solutions for cooperative and non-cooperative air, ground, and ship modals for all other transportation modals. Data from this process is verified as trustworthy discoverable data through either public use, private use, and / or tier level clearance using a decentralized network of reverse networks, IoT, blockchain, Web3, HTTP, HGTP, tier 0, tier 1, state channels, NFTs, smart contracts, metagraphs, DAG protocols, and utility tokens that can be agnostic integrated with any new or legacy data and networks. This information can be stored and / or sold on a data exchange by streaming the data in real time or uploading it when preferred to a data exchange for registration, gifting, donation, reward, subsidization, monetization, use, rental, and sale of the data to other third parties. The materialization and storage of all events throughout the ordering process are recorded.Smart delivery doorbells are considered nodes. These nodes can discover and add to existing private networks of users. These nodes are on a node-centric mesh network. This network allows shippers to use their preferred carriers and delivery selections available at the time based on geographic location, weather conditions, availability and type of delivery hardware required for use. Drones, drivers, robots, eVTOLs, VTOLs, UGVs could be transported on-demand based on order and payment. They can receive rewards such as loyalty, social, and / or carbon footprint rewards, points, coupons, crypto rewards, and / or redeemable rebates for the type of data they provide to any company that is interested in them.
[0066] In another embodiment, if an interested person or entity wants to use the metadata of the user smart doorbell, landing pad, charging station, container, drone, drone hanger, and / or other participating nodes, all the cars that were recording the entire day, and the people and dogs that walked by the weather during the day, it could be done. The user can earn loyalty, social, and / or carbon credit rewards that are deposited in your digital wallet, or selected on the SaaS delivery mobile app. Some services may be free or may require a monthly subscription from the SaaS software. The application would be able to know if a delivery has arrived and provide information on other people in the family and a network of friends that would allow you to take the package when you are not at home. In addition to payment, you would be able to pay for the service through all traditional methods plus crypto and token rewards. NFTs could be made from the metadata or metadata picos and videos that would be used for future sales, or simply used for future sales if stored in your digital wallet.
[0067] In another embodiment, the smart delivery doorbell chime allows for the use of sensors that can determine air quality (as a doorbell can). The type of sensor selected can help with radon, smoke, asthma conditions, etc., and can have multiple chime rings that are custom assigned, allowing you to customize the doorbell and know who is ringing at the doorbell or providing delivery services.
[0068] In another embodiment, the smart doorbell may be hardwired, have its own solar power source, or be battery powered. There are LCD, AMOLED, OLED technologies coming in PMOLED, SuperAMOLED, POLED (and more to suit different user needs), color screens that will show videos, static and dynamic commercials, UI / UX and GUI sensor information such as temperature and customized information based on the current usage, time of day, carrier, company and / or product. When a driver or drone delivers a package for example, wireless delivery and / or physical QR code delivery allows for static and / or dynamic ads to be left on the screen showing the delivery company and / or product seller providing the delivery order.
[0069] In some embodiments, the smart doorbell can collaborate with air traffic control, drone operator ground control, and any participating hardware (i.e., nodes) that can share information and learn from each other. It creates Artificial Intelligent Machine Learning capabilities (AIML) and can function under adverse weather conditions. It can connect to existing security software and hardware, or can be used as a direct security service function either through the home and / or third-party companies. Tracking numbers can be generated to match the exact carrier of choice. This application allows our service to be the same data integrator, data validator, data aggregator, data rail, and market maker, while also being able to tap into local dispatch for emergency situations, for example.
[0070] In another embodiment, PCB boards and other third party software and hardware can use our APIs, SDKs, APKs, firmware and open platform interfaces and operating systems for their use. They can also add their own APIs, SDKs, APKs, firmware to our open platform interfaces. Our mobile app is integrated with drone delivery of people and cargo so that you can use any of our hardware products as ancillary options to self-sustain your deliveries as a merchant. For example. If you purchase, lease or use our vertiport. in. a-Box (Pending®) SaaS service to purpose and / or build a smart drone rooftop and ground doneport / vertiport / airport, you can provide true last mile and last inch to smart landing pads, landing pads, landing pads / charging stations by receiving pre-departure weather information that will aid in the flight of the drones, whether the weather is a drone flight, delivery via autonomous ground robots, vehicles or delivery by foot only.
[0071] In another embodiment, the doorbell can be used to determine whether a fleet of drones can be used, or simply one drone in the area, or a driver or robotic delivery service using a physical and / or unmanned traffic management (UTM) system, for example, that will confirm whether delivery is possible and allow other variable selections. This information will also help the governing body, which will use this information to determine the safety of flights in the area. The doorbell and chime can be used to quickly act on emergencies, first responders, and / or crimes. Coupons, rewards, incentives can be received, used, and redeemed by using the doorbell. The doorbell also has a touch screen LCD or other screen selections.
[0072] 1 shows a Vertiport system 1000 for managing unmanned vehicles in delivering goods or passengers from a source location to a destination location. A user 1020 uses a computing device 1030 to access a delivery system 1010 for successful delivery to the user's location. The user 1020 places an order for delivery, the Vertiport system 1000 assigns an unmanned vehicle 200, and an unmanned flight planner determines a route considering various factors such as distance, weather conditions, etc., and shares it with the unmanned vehicle 200.
[0073] In one embodiment, the unmanned vehicle 200 can be controlled using the smart glasses 1040 virtually from any location by a user or pilot.
[0074] In another embodiment, the Vertiport system 1000 includes an unmanned vehicle charging station 1070 for charging / recharging the unmanned vehicle 200 when the battery charge is depleted. Charging is accomplished by swapping batteries or by charging batteries present within the unmanned vehicle 200.
[0075] In another embodiment, the Vertiport system 1000 includes an unmanned vehicle repair station that is used to repair unmanned vehicles when damaged, or during daily routine check-ins, before the unmanned vehicles are assigned the task of successfully delivering from one location to another.
[0076] FIG. 2 shows a notification system between an unmanned vehicle and various customer devices regarding package delivery according to the present invention. An unmanned vehicle from a rooftop airport is sent to pick up a good from a source location, and the unmanned vehicle travels to a destination location where it determines a smart landing pad for dropping off the good. The smart landing pad or the unmanned vehicle detects a smart doorbell at the destination location, determines how often the smart doorbell operates, and sends a notification signal regarding the successful delivery. The smart landing pad or the unmanned vehicle can detect a signal of a user smartwatch, connect to the signal of the user smartwatch, and send a notification signal regarding the successful delivery to the user smartwatch.
[0077] FIG. 3 is a diagram showing an unmanned vehicle that is good for delivery.
[0078] FIG. 4 illustrates a preferred delivery system via drones or unmanned vehicles, according to one embodiment of the present invention.
[0079] Figure 5 shows the Smart Mailbox Landing Pad where the unmanned vehicle drops / picks up a good on top of the Smart Mailbox. The Smart Mailbox remembers that the unmanned vehicle is ready for pickup or a user is ready to collect a delivery.
[0080] Figure 6 shows a residential smart rooftop landing pad.
[0081] FIG. 7 illustrates a smart drone landing pad used by an unmanned vehicle during a landing / takeoff procedure in accordance with the present invention.
[0082] FIG. 8 shows a vertiport-in-a-box setup in a house including a landing pad / charging pad present within the vertiport box 8010, where the unmanned vehicle 200 can fly into the vertiport box 8010 to deliver goods.
[0083] FIG. 9 shows a doneport / vertiport system 9000 set up in a private sector where the complete system is integrated into an existing setup. Doneport / vertiport system 9000 includes air traffic control 9040 for controlling unmanned vehicles 200 during delivery operations. Containers 9020 for storing unmanned vehicles 200, repair stations 9030 for repairing or maintaining unmanned vehicles 200, entrances 9050 for direct entry of unmanned vehicles 200 into a section of a building. A vertiport aligned on top of the building for storing unmanned vehicles 200 during transport tasks. In. In. Box 8010.
[0084] In some embodiments, the system includes a drone docking / charging / launching station 100 having components such as a top cover 101, top solar panels 102, top cover runoff channels 103, linear actuators 104, side walls 105, side solar panels 106, side protection material 107, side multi-unit clips 108, doors 109, door hinges 110, retractable plates 111, landing pad compartments 112, energy conversion drawers 113, portable energy converters 114, and portable batteries 115.
[0085] In some embodiments, a user application is presented on the user's smartphone 206 and can control and monitor the functionality of the charging station 100, and with the aid of the smartphone 206, the end user can pre-plan the next flight of the drone 600. Once the flight plan is finalized, the application can estimate the minimum level of battery charge of the drone 600 required to reach the pre-planned destination. With the press of a button, the charging station 100 can be instructed to start the process of charging the drone 600's battery and stop when the required minimum level of battery charge is reached. The entire process can be monitored by the end user via a charging station status screen.
[0086] In some embodiments, the smart doorbell 500 and smartwatch 600 are hardware and software nodes with both security camera features and push notification features that turn on when it detects an object moving in front of it. The smartwatch 600 turns on when the drone 101 notifies the smartbell 600 or smartwatch 600 that the drone 101 is about to arrive. The smartwatch 600 also turns on when someone physically walks in front of the doorbell 506 or rings the doorbell 506, and a user can simply turn on the smartwatch 600 if they want to monitor their home for security and / or safety. Push notifications can be given while flying over the customer or customers of other third party mobile apps and can also provide static and dynamic commercials and / or coupons, incentives and discounts, rebates, crypto rewards, surveys, promotions, and / or contests.
[0087] In another embodiment, the smart watch 600 allows the end user to watch the video in real time on their device (mobile or otherwise). The smart watch 600 automatically turns off after the end of a user reception, the end of a user request, the reception of a smart drone request in completion, and / or when the package is no longer in or on the smart landing pad 101.
[0088] In another embodiment, the smart drone landing pad and charging station 101 also incorporates smart doorbell video / audio hardware capabilities, allowing end users to see and hear packages being delivered via their mobile devices. This allows for recording, replay, archiving and distribution of files for each delivery via the cloud.
[0089] In another embodiment, the smart drone landing pad and charging station 101 communicates with a doorbell to ring the doorbell upon delivery. The OS system provides advance notifications to join in viewing the delivery through the doorbell video / audio hardware and mobile push notifications to provide an additional form of alert for the delivery. Deliveries can also be viewed through a smart TV with images and / or Roku photo options.
[0090] In another embodiment, the unmanned vehicle may be, but is not limited to, a smart drone, an autonomous flying device, an autonomous robotic device, an autonomous vehicle, an autonomous ground robot, an autonomous marine vehicle, or the like, enabling the unmanned vehicle to take off or land.
[0091] In another embodiment, the autonomous flying device may fly multiple flights making deliveries before being free to return to the base station. Allows for frosting from smart rooftop and ground doneport / vertiport / airport, charging stations, and / or landing pads. These smart drones may require the ability to find smart landing pads in multiple locations within their service area to deliver items to customers. These smart landing pads provide a safe location to allow the smart drones to land, deliver, or temporarily store packages while providing the ability to act as charging stations for recharging unmanned analytical vehicles, providing the ability to provide scalable and modulated hardware and software services and applications, and providing cloud exchange, mining, logging, and recording of big and micro data via blockchain and the Internet of Things (IoT).
[0092] In another embodiment, the smart landing pad 100 includes a processing node having a processor, memory, storage, a network connection to one or more communication networks, a smart drone landing pad, an inductive charging pad configured to recharge batteries within one of the one or more drones, a smart container battery exchange station, one or more external webcams, and a package receiving container for accepting delivered packages.
[0093] In another embodiment of the present disclosure, a processing node in a smart drone landing pad downloads a mobile application containing executable instructions for the processor to execute from a 3d party vendor. The cavity of the smart landing pad has the capability to store multiple CPUs, GPUs, quantum chips, or multiple blockchains dedicated to each third party renting space in the cavity to enable their own network, network of nodes, cybersecurity, and / or system connectivity.
[0094] In another embodiment, a node in a smart drone landing pad communicates with a network controller of one or more autonomous drones to receive permission for a particular drone to land.
[0095] In another embodiment of the present disclosure, a node in a smart drone landing pad communicates with a particular drone and provides permission to land.
[0096] In another embodiment of the present disclosure, a node in a smart drone landing pad unlocks and opens an access point to allow delivery of a package.
[0097] In another embodiment, the smart drone landing pad 100 or drone can determine the frequency of the smart doorbell and connect to the specific frequency before sending a notification to the user.
[0098] In one embodiment, the frequencies used by the device of the present invention are not limited to 2.4 GHz, 5 GHz, 6 GHz, or 6.5 GHz, and the like.
[0099] In another embodiment, a smart drone landing pad or drone can ring a smart doorbell without any additional input by connecting to a specific frequency accepted by the smart doorbell.
[0100] In one embodiment, a node in the smart drone mailbox landing pad provides current weather conditions to one or more autonomous drones and one or more drone servicing function devices of the drone unmanned system servicing network.
[0101] In another embodiment, the smart drone landing pad node further includes a peripheral interface for connecting 3D party devices for use by the node, and a blockchain processor that provides blockchain harvesting, mining, logging, ledgers, and records for use with other blockchain harvesting, mining, logging, ledgers, and records to other nodes in the drone unmanned system service network to provide a secure and redundant record of all deliveries and autonomous drone flights. This can be used by node clusters to create consensus of trusted data that has been verified before population across the blockchain network. If the proof of observation reputation (POR) indicates that the characteristics and reputation of the data are not known or out of character, the data will not be disseminated for future forensic examination and will not be trusted as trusted data. Once the node's POR creates a historical reputation for that data on the blockchain network, the data will be scored to that reputation.
[0102] In another embodiment, the smart drone landing pad further comprises a hardwire, battery, or tritium battery for use when the solar panels are not sufficient to support the nodes of the smart drone mailbox landing pad.
[0103] In alternative embodiments, the present invention may be utilized in, but is not limited to, rooftop ports, ground ports, velocities, unmanned ports, water ports, drone ports, and the like.
[0104] In some embodiments, the invention may be a Smart AIML Autonomous Infrastructure Vertiport In a Box (VIB) Solution-a Dual-Use Capability.
[0105] The SmartAIMLverti Port in a Box (VIB) uses reliable hybrid marine, ground, and air, inverse closed and / or open loop bidirectional Wi-Fi, LiFi and spectrum hopping cloud and edge inverted and back and forth network architectures and compatible hardware to deliver both remote and on-site Web3 and Extended Reality (XR) / Hyper. Reality (HR) and Metaverse. Fleet operations, rapidly deployable, fixed and / or mobile decentralized, self-sustaining, quantum computing. Digital. Twin. Edge. The solution is to integrate critical infrastructure accessories on landing vehicles (eVTOL / ehVTOLs), hardware, software, weather sensors, metadata crowdsourcing, blockchain and cyber on a node-centric mesh network; fob and CB hub and spoke geo-mapping for real-time situational awareness and deployment combined with multi-modal autonomous maritime, terrain, and air solutions; provide node-centric and dynamic logistics supply chain and storage; enable a decentralized multi-purpose network of smaller, distributed locations that is sparse, multi-purpose, modular, scalable, sustainable, resilient, horizontally interoperable, and independent of both legacy and third-party integrations; significantly reduce base setup time while improving situational awareness and operational capabilities for rapid mission execution.
[0106] Hardware, Electrical, Communication, and Technology Systems - Key Features
[0107] AIML Vertiport in BoxAutonomousSystem(VIB)(TRL7-8)
[0108] SmartDeliveryDoorbellDataMiner (weather sensor, security)
[0109] Smart drone. Hangar / charging station. Data. Miner
[0110] Smart Drone Landing Pad Data Miner
[0111] SmarteVTOLLandingPadDataMiner
[0112] Smart Drone Container / Battery Exchange Data Miner
[0113] SmartGround Robot DataMiner (Modular Use Case)
[0114] Smart Drone Data Miner
[0115] Smart Nano Drones. Data. Miner
[0116] SmartWeatherTowerDataMiner
[0117] Armoured Vest with 4 Armed and Destable Nano Drone DataMiners
[0118] GPU chips at the edge for each piece of hardware
[0119] Distributed Edge IoT and Node-Centric Mesh Layer-Zero and Layer-One Networks
[0120] Multispectral AIML LiDAR and Radar
[0121] Environmental and weather resistant design
[0122] Insect, Pest, Bird, and Rodent Resistant Sensors
[0123] HGTP (HyperGraphTransferProtocol), Metagraph, Smart Contracts, State Channels, L0 and L1 Networks, Proof of Observation Reputation (POR)
[0124] Web3 and Extended Reality (XR) / HyperReality (HR) and Metaverse. Fleet Operations
[0125] Autonomous Mobility Data Exchange (AMX) (TRL2-3)
[0126] Smart Glasses (TRL1-2)
[0127] Smart Lighting (TRL1-2)
[0128] Nano Technology Coating (TRL1)
[0129] Underwater Nano-Ultrasonic GPS Beacon with Ship Mapping Sensors
[0130] Air Hygiene Sensor for BadActorAirZone Infiltration in No-FlyZone (TRL1)
[0131] Quantum Processing Chips for Edge Computing (TRL1)
[0132] Biometrics. Security (audio, face) (TRL5-6)
[0133] Advanced AIML sensor (TRL7-8)
[0134] Spectral Frequency Hopping (TRL2-3)
[0135] Digital twin (TRL1-2)
[0136] Zero Trust Blockchain State Channels and Smart Contracts / Ledgers (Scalable, Modular, Interoperable, Agnostic) (TRL5-6)
[0137] Self-sustaining Anti-EMP (Hardened), Anti-RF, Anti-GPSScrambling, and Counter-Drone (C-UAS) (TRL2-3)
[0138] Wearables: SmartArmouredVest (Advanced Closed Loop P2P Communications, Shield Nylon Layer, Anti-EMP, Integrated and Deployable Nano Arm Drone (TRL7-8))
[0139] Smart Corn (TRL1) and Blockchain Cybersecurity (TRL7-8)
[0140] LiFi (TRL1-2)
[0141] On-board tritium micro power supply (TRL1) for each integrated hardware, with a service life exceeding 5 years, self-sustaining both in storage and in use
[0142] 3D on-demand real-time printer Precision synthesis and recyclable metal printing resolution (TRL7-8)
[0143] It is modular and scalable in both hardware and software, and also in data.
[0144] Closed-loop P2P communication (TRL2-3)
[0145] Horizontally interoperable and field repairable and replaceable
[0146] Durable materials and construction that protect against corrosion, humidity, extreme heat and cold environments, and UV, both during pre-positioned storage and deployment
[0147] Underwater Ocean Geomapping (TRL2-3)
[0148] Smart Nano Scalable Tritium Battery with 5-20+ years of self-charging capability. (TRL1)
[0149] Mechanical Systems - Key Capabilities
[0150] A reverse osmosis water and waste filtration system that is scalable and modular for critical biological and mechanical water supplies using existing waste and environmental water used for consumption, operation, distribution, supply, or survival. (TRL1)
[0151] Unmanned ships, ground and air vehicles, or hybrid autonomous vehicles capable of transporting people and / or cargo. (TRL1)
[0152] Autonomous Hybrid Drones (TRL7-8), Inspection Drones (TRL7-8), 4D Projector Mapping Drones (TRL1), X-Ray Drones (TRL1), Directed Energy Drones (TRL1), Delivery Drones (TRL7-8), Defibrillator Drones (TRL5-6), Detonation Drones (TRL1), Mapping Drones, Nano ISR Drones (TRL7-8), Mother / Child Drones (TRL1-2)
[0153] Modular and Scalable
[0154] Manufacturing interoperable hardware and remote 3D printing parts for recycled materials and repairs
[0155] Additive Ground, Air and Space Manufacturing
[0156] Recyclable and native materials for Landing Pad / Tarp repair and replacement, integration and operation. Terraform materials with modular and expandable sensors.
[0157] Base Infrastructure
[0158] IntegratedBaseSecurity, Response&Recovery
[0159] Value Proposition: How your solution can benefit the USAF
[0160] Primary: Demonstrate the viability of a Vertiport in a Box (VIB) solution that streamlines and expedites the planning and setup of operations using available resources, is concise, versatile, modular, scalable, sustainable, resilient, horizontally interoperable, and agile; decentralized, horizontally interoperable, and non-dependent among forces addressing the essential infrastructure to support contingent missions as combat employment (ACE).
[0161] Secondary: Accelerate the U.S. Government's VIB concept of operational technology development to operationalize advanced capabilities.
[0162] The SmartAIMLVIB is self-contained: rooftop and ground locations can be used to demonstrate operation.
[0163] Please note that government legacy software, operational hardware, comma, cyber, or sensor integration mandates may necessitate any integration requirements for implementation.
[0164] Hardware, Electrical, Communication, and Technology Systems - Key Features
[0165] AIML Vertiport in BoxAutonomousSystem(VIB)(TRL7-8)
[0166] SmartDeliveryDoorbellDataMiner (weather sensor, security)
[0167] Smart drone. Hangar / charging station. Data. Miner
[0168] Smart Drone Landing Pad Data Miner
[0169] SmarteVTOLLandingPadDataMiner
[0170] Smart Drone Container / Battery Exchange Data Miner
[0171] SmartGround Robot DataMiner (Modular Use Case)
[0172] Smart Drone Data Miner
[0173] Smart Nano Drones. Data. Miner
[0174] SmartWeatherTowerDataMiner
[0175] Armoured Vest with 4 Armed and Destable Nano Drone DataMiners
[0176] GPU chips at the edge for each piece of hardware
[0177] Distributed Edge IoT and Node-Centric Mesh Layer-Zero and Layer-One Networks
[0178] Multispectral AIML LiDAR and RADA
[0179] Object sensing, detection and avoidance, collision resolution, cooperative and non-cooperative eVTOL, UAS, UAM, UAG, nodes
[0180] Environmental and weather resistant design
[0181] Insect, Pest, Bird, and Rodent Resistant Sensors
[0182] HGTP(HyperGraphTransferProtocol), SmartContract, StateChannelL0, L1Network
[0183] Web3 and Extended Reality (XR) / HyperReality (HR) and Metaverse. Fleet Operations
[0184] Autonomous Mobility Data Exchange (AMX) (TRL2-3)
[0185] Smart Glasses and Oculus (TRL1-2)
[0186] Smart Lighting (TRL1-2)
[0187] Nano Technology Coating (TRL1)
[0188] Underwater Nano-Ultrasonic GPS Beacon with Ship Mapping Sensors
[0189] AirSanitationSensor for BadActorAirZone infiltration in NoFlyZone (TRL1)
[0190] Quantum Processing Chips for Edge Computing (TRL1)
[0191] Biometric Security (Audio, Face) (TRL5-6)
[0192] Advanced AIML sensor (TRL7-8)
[0193] Spectral Frequency Hopping (TRL2-3)
[0194] Digital Twining, Predictive Analytics and Lifecycle (TRL1-2)
[0195] Zero Trust Blockchain State Channels and Smart Contracts / Ledger (Scalable, Modular, Interoperable, Agnostic), Observation Reputation Proof, Data Validation, Consensus, Node Clusters, Metagraphs, HGTP, Web3, Inverted Distributed Node-Centric Mesh Networks (TRL5-6)
[0196] Web3 and Extended Reality (XR) / HyperReality (HR) Fleet Operations (TRL1-2)
[0197] Self-sustaining Anti-EMP (Hardened), Anti-RF, Anti-GPSScrambling, and Counter-Drone (C-UAS) (TRL2-3)
[0198] Wearables: SmartArmouredVest (Advanced Closed Loop P2P Communications, Shield Nylon Layer, Anti-EMP, Integrated and Deployable Nano Arm Drone (TRL7-8))
[0199] Smart Corn (TRL1) and Blockchain Cybersecurity (TRL7-8)
[0200] Wi-Fi, LiFi and full spectrum frequency hopping (TRL1-2)
[0201] On-board micro power supply (TRL1) for each integrated hardware, with a service life exceeding 5 years, self-sustaining both in storage and in use
[0202] 3D Printer Precision Composite and Recyclable Metal Printing Resolution (TRL7-8)
[0203] It is modular and scalable in both hardware and software, and also in data.
[0204] Closed Loop and Open Platform Options for P2P Communication (TRL2-3)
[0205] Horizontally interoperable and field repairable and replaceable
[0206] Durable materials and construction that protect against corrosion, humidity, extreme heat and cold environments, and UV, both during pre-positioned storage and deployment
[0207] Underwater Ocean Geomapping (TRL2-3)
[0208] Smart Nano Scalable Battery with 5-20+ years of independent charging. (TRL1)
[0209] Mechanical Systems - Key Capabilities
[0210] Reverse osmosis water and waste filtration systems that are scalable and modular for critical biological and mechanical water supplies using existing waste and environmental waters used for consumption, operation, distribution, supply, or survival. (TRL1)
[0211] Unmanned ships, ground and air vehicles capable of transporting people and / or cargo. (TRL1)
[0212] Autonomous Hybrid Drones (TRL7-8), Inspection Drones (TRL7-8), 4D Projector Mapping Drones (TRL1), X-Ray Drones (TRL1), Directed Energy Drones (TRL1), Delivery Drones (TRL7-8), Defibrillator Drones (TRL5-6), Detonation Drones (TRL1), Mapping Drones, Nano ISR Drones (TRL7-8), Mother / Child Drones (TRL1-2)
[0213] Modular and Scalable
[0214] Manufacturing of interoperable hardware and remote 3D real-time printer parts for recycled materials and repairs
[0215] AdditiveGround, Air, Space and Marine Manufacturing
[0216] Recyclable and non-recyclable materials for repair and replacement and integration and operation of landing pads / tarps
[0217] The smart doorbell of the present invention is a combination of an inner doorbell and an outer doorbell, where the inner doorbell and the outer doorbell are comprised of multiple similar sensors, and the outer doorbell is equipped with an amber alert and a 911 home intrusion / emergency flashing light.
[0218] All smart devices, including smart landing pads, smart doorbells and smart watches, will allow customers to opt-in to metadata sharing, allowing them to select what data they want to share on the exchange for crypto security and / or utility rewards.
[0219] The present invention allows users to choose to fly drones and eVTOLs over their home. This also applies to a smart rooftop weather tower with two lights (red and green) that allows the home to allow (green) or not (red) unmanned aerial vehicles to fly over the home through AIML computer vision. This allows frictionless participatory relationships to gain air rights over autonomous private properties.
[0220] The outside light on the doorbell is a flashing strobe light that is a distress call. This calls 911, automatically dispatches and connects you to local authorities.
[0221] In one embodiment, the unmanned vehicle will be controlled by a remote pilot using smart glasses, which will have AIML auto vision correction, meaning you can change the frames up or down without having to change the prescription in the lenses again, with OpenAI / ChatGTP, and on the blockchain with biometric security.
[0222] Smart doorbells, drones and containers, ground robots and eVTOLs all allow advertisers to place static and / or dynamic ads on LCD or other screens.
[0223] When a shipping carrier comes by to deliver the product, the doorbell can scan the barcode and leave a commercial for the shopping carrier that made the delivery. The chime can have downloadable ring tones that can be assigned to each carrier.
[0224] The smart delivery doorbell data miner, and other ancillary equipment for the system such as landing pads, drones, ground robots, etc., can be sold and / or negotiated as a distributed data validator system where someone owns the mined data as a data miner and / or data validator, and the parties sell and / or negotiate custom and agreed dynamic terms and conditions that are performed in a data exchange, etc., or as a hardware and SaaS package solution that allows someone else to manage the operation. After the dynamic terms and conditions for the data exchange are fully agreed and paid for, a static NFR (Non-FuncRight) and / or NFT (Non-FungibleToken) are created. A service fee for the exchange service for discoverable trusted data that can be negotiated and smart contracted is assessed for the service that is entitled via the NFR. This is a trifle ta. Discoverable verified trusted data, and rights driven via digital data bundles of rights DDBR and NFR. The accumulated distributed and verified data can be used and owned by the data exchange by various participants who provide the data generated on the exchange for acquisition / users.
[0225] Smart Unmanned Delivery System is a blockchain-based blockchain that leverages a wide range of blockchain technologies, including but not limited to: Smart. Data. Mining, AIML, OpenGTP, HGTP, L0&L1 Layer. Security, Smart. Contracts, State Channels, Meta. Graph, Metaverse, VR, AR, MX, XR, HX, Nodes, Node-centric Mesh. Network, Crypto / Utility. Token Rewards ($DISC), Quantum Computing, Solar, Metaverse. ecommerce (M-Commerce, Web3, QR. ARCode, Multimodal. Hailing Apps, eVTOL, ehVTOL, Ground Drone Robots, UGV, UMV, Drones, UMV, LiFi, and participating node auxiliaries.
[0226] In one embodiment, the Vertiport-in-a-Box (VIB)® solution allows for the reuse of existing rooftop and ground structures and land to integrate custom use case partners providing autonomy hardware and software data sensors for air, ground and marine vehicles using our node applications. The Vertiport / Vertipad 1050 allows VTOL unmanned vehicles to land or take off.
[0227] In some embodiments, users or consumers, drone service operators, sensor data suppliers, users and asset owners should own the rights to receive rewards and / or compensation for that information if they choose to sell the data that they may generate from their smartphone apps, consumer-owned vehicle and home sensors.
[0228] In some embodiments, the Smart Mailbox Landing Pad™ can be integrated into existing shipping logistics infrastructure, providing blockchain verified AIML edge computing and point to cloud communications. The Smart Mailbox Landing Pad™ delivers delivery points for customers making deliveries at their destinations.
[0229] The present invention provides various solutions, including but not limited to the following: DISC acts as a manufacturer and / or OEM and / or reseller of its autonomous drone Vertiport. in. a-Box (VIP) system by providing its infrastructure, inspection, restaurant and retail customers with use cases that can be integrated into the inventors' multi-modal autonomous drone and scalable, modular and interoperable vehicle delivery open mobile and network platform.
[0230] Both Customers and any qualified third-party autonomous drone and / or vehicle manufacturers can use DISC's onboarding and integration services to facilitate integration as deployable hardware into both DISC's autonomous delivery marketplace, and into Customers' existing point-of-sale and delivery platform systems.
[0231] Existing and future drone delivery and other industry specific third party companies will have a marketplace through DISC to find needed drone delivery operations services without having to operate and maintain a customer acquisition structure.
[0232] Autonomous drone and vehicle delivery services are safer, faster, more responsive, more hygienic and the human factor is not introduced into the cycle of the delivery model. Companies do not have to worry about the downfall of their high driver staff.
[0233] A smart kitchen will be integrated where a fully autonomous kitchen will have kitchen cooks, bartenders, servers, and / or preparation robots that can fully automate food preparation and / or shopping selections that move to an autonomous multi-modal delivery stage.
[0234] Autonomous drones and their delivery systems can avoid typical traffic jams, stop lights, tickets and long refueling times by flying as the crow flies from point A to point B.
[0235] Autonomous drones and vehicles won't have to pay fees for their deliveries on top of delivery service fees, which means more retail and higher ticket sales for restaurants, retailers, and state taxing bodies.
[0236] True Last Mile and Last Inch Logistics® via autonomous drones with the option to initiate takeoff from rooftop or ground locations at restaurant and retailer facilities, making delivery faster and avoiding transfer of load (LTL) delivery time waste and costly transportation costs.
[0237] Customers can choose between the types of transportation available from the vendor for their order: bike, manual vehicle, autonomous vehicle, ground robot, or simply pick up. Customers can choose the transportation available and pay for the convenience. Customers can schedule and hop between multi-modal transportation solutions for people and / or cargo to be delivered autonomously.
[0238] Autonomous delivery times are predictable, transparent, reliable and hygienic.
[0239] Autonomous delivery offers shorter time delivery cycles and provides increased Total Trade Value (GTV).
[0240] Vacant, valueless rooftops offer much cheaper infrastructure integration by layering a customer's drone delivery system using DSSC drone rooftop and ground airports right into the structure of a restaurant or retail building.
[0241] The smart delivery drone marketplace will allow all third-party drone and vehicle delivery services to participate as delivery service providers.
[0242] DISC is creating a solution for this data to be decentralized from government services as discoverable through DISC's AMX data exchange. To successfully execute this disruptive model, the use of data must be discoverable on market maker exchanges. It must be immutable, trusted data with integrity that meets all government requirements and governing rules, and they adapt to scale, change, and market needs. The chain of custody of the data must be able to be tracked to remember events from its genesis generation. Data must be able to be reused, subsidized, and monetized on data exchanges or data exchanges that are data and hardware agnostic, can provide data integrity, are compatible with interoperable data and tokens, and are offered on either exchanges as a multi-exchange data repository.
[0243] In one embodiment, the present invention is part of an entity named Drone Industry System Corporation (DISC). DISC has discovered an additional problem that can be solved with one solution. DISC's smart self-healing node-centric blockchain open platform and interoperable autonomous infrastructure system is designed using constellation network HGTP horizontal hypergraph protocol, directed acyclic graphs (DAG), state channels, and staggage aza digital wallet and DISCnexus wallet integration system that will be verified using Proof of Reputation (PRO) that will be encrypted, recorded and stored using data for near real-time, real-time, sub-real-time or future historical AIML use. The system is scalable and agnostic to any network such as blockchain, ethereum, and avatars. This allows participating sensor companies and autonomous delivery operators to receive reliable, specific and trusted integrity data that is compliant with their mission, operation and / or use case.
[0244] DISC fills these gaps by being an ASTM and Cyber. Security. Integrator for autonomous operations, and an ASTM and Cyber. Security. Integrator for sensor data aggregators and acquired data users for discoverable, trusted, integrity data, AMX exchanges and sub-exchanges of data that can be used either as raw, layer modeled, and / or NFTs, and between buyers and sellers.
[0245] To achieve these objectives, DISC created the first of its kind, the Autonomous Mobility Data Exchange (AMX) and its initiating sub-exchanges: the Advanced Mobility Data Exchange, the Weather Data Exchange, the Utilities Data Exchange, the Military Data Exchange, and the Smart Distribution Data Exchange, as the first of many industry-specific data exchanges that will be introduced when data can actually be downloaded from the exchange.
[0246] The Autonomous Mobility Data Exchange and its key intra-sub-exchanges; Advanced Mobility Data Exchange, Weather Data Exchange, and Smart Delivery Data Exchange are drone / VTOL delivery data auction exchanges for decentralized dynamic, remote, moving, standby data, weather data, telemetry, digital twinning, predictive lifecycle and analytics, and autonomous drone and VTOL infrastructure live data, historical raw data, and data modeling, built on world class blockchain technology by developing decentralized and centralized AMM with hosted state channels, smart contracts and megagraph HGTPWeb3.
[0247] AMX is an application that will host near real-time, risk- and performance-based, immutable critical weather, telemetry, and infrastructure data exchange consisting of a self-healing node-centric mesh network of participating sensor data suppliers, providing cost-effective data distribution by all participating sensor data stakeholders in the autonomous drone and VTOL industry.
[0248] This critical and validated raw, raw, or modeled data is validated, encrypted, and modeled for coordinated, hierarchical levels of autonomous use cases and missions using shared and daisy-chained edge and IoT backward and IoT backward and forward inverted data, processing, and computing based on risk, performance, and trust proof data criteria applicable to the specific autonomous pre-flight and ground operations authorization.
[0249] Constellation's network is a peer-to-peer network that supports L_0 state channels powered by DAG (Directed Acyclic Graph) utilities, for example, by DISC, which leverages independent networks on Constellation's network and independent networks like Bitcoin, Ethereum, and Avax. Under the hood, it can provide data assurances using blockchain technology built for immutability, security, auditability, traceability, scalability, and speed. It is based on a decentralized protocol, HGTP, that allows for programmatic, automated, and immutable business logic. Constellation's network allows for no gas fees for crypto and token transactions, making the network faster, more scalable, with less latency and more affordable than any other network. This does not stop the use of other networks without Constellation, which incur gas fees when transferring data between networks.
[0250] In one embodiment, the present invention also provides a solution comprising various steps:
[0251] An example of how the use case process works can be seen in the bullet points below.
[0252] On-board strategic hardware manufacturer partners will integrate with our nodes on our SmartNode-centric operating system for direct edge computing.
[0253] Sensor data suppliers use their sensors to point or provide data that points to our cloud service via our direct node points, where this data can be used in conjunction with their own operations related to their fleets of drones, drone customers and / or sensors.
[0254] Consumer retail or food end-user orders come from DISC's SmartDelivery Drone mobile app and DISC's Nexus Digital Wallet on their mobile phones.
[0255] Orders are processed using the end user's mobile device or online.
[0256] Blockchain transmission is initiated by the end users of participating apps.
[0257] Blockchain emanations begin as participating drones, landing pads, charging stations, drone ports, drone hangers, drone containers, point-of-sale (POS) hardware, and other involved auxiliaries initiate the sensor data blockchain validation process to plan, approve, and execute operational delivery objectives with sensor payloads on the edge (points) of the network.
[0258] On the hardware point-to-point side, artificial intelligence and machine learning (AIML) allows all participating nodes (hardware) to edge compute and communicate computations to share and learn information that is mission critical. This information can be weather conditions, object detection, and / or hardware heals, to name a few. Data that should go through the cloud goes directly to the operator and / or vendor and branches into the data exchange. This information allows for situational awareness, autonomous decision making, sensing, detection and avoidance, minimizing grounding and turn key operational execution.
[0259] Alternatively, end users can use DISC's SmartMailboxLandingPad and its digital touch screen interface to order between any of the competing shipping carrier delivery services, such as USPS, FedEx, UPS, and / or DHL.
[0260] During this process, participating strategic partners and stakeholders can choose to fork out their data for near real-time streaming or to put it into our repository and sell it on one of our data exchanges.
[0261] Data end users can now exchange data for specific purposes that are of interest and purchase, lease, license, use, or reuse the data for their own specific use cases or purposes.
[0262] In one embodiment, sensor-enabled data mining hardware and NFTs: As data sensor aids are added to the network, nodes and cyber expansion require more data and data processing at the edge for situational awareness. Node data miners, such as smart delivery doorbell miners, smart landing pad data miners, and other data miner solutions, provide verified and trusted blockchain data that can be used to create NFTs and / or NFRs that can be sold on the AMX Exchange after providing data validators with the data.
[0263] In one embodiment, the disk can take the end user BB and / or BC use case and provide a VIB solution by designing a rooftop floor plan. For example, using the above floor plan, one standby public defibrillation drone, one standby amber alert drone, full spectrum frequency hopping, one standby first response drone, one standby inspection drone, five standby delivery drones, five charging stations, six drapes, one radar, various airport / vertiport lights, ten residential and public use drones park and store hangars that can be rented and / or shared with dedicated news outlets, law enforcement and / or medical delivery services, and one anti-EMP sensor.
[0264] Mining, Blockchain Validation, and Data Monetization
[0265] Drone operators, industry analysts, universities, aircraft, meteorologists, scientists, public and private sector data acquisition companies, construction, real estate companies, municipalities, legal entities, law enforcement, military, and simply anyone who doesn't know the daily weather on their smartphone, but just anyone who doesn't know or is not discoverable that trusted, verified, reliable integrity data available for purchase, lease, license, use, and / or reuse by other market sectors. The most used data has no specific use other than that intended from its inception, so it is purged, dumped, deleted, or stored for historical storage, no one knows where to market the data, the data has a specific shelf life, the data is confidential or classified, the owner cannot trust it as data with integrity, resilience, and immutability that provides little value to end users who may wish to purchase the data or to the data suppliers who originate the data to be paid for their efforts.
[0266] Blockchain Validation Data as a Service
[0267] The purpose of the disk is to mine, verify, and monetize raw modeled data, modeled data, and co-op modeled data. We introduce the concept of data reuse for our decentralized target specific discoverable data exchange, which allows data suppliers and data users to go to a data marketplace where they can inquire, buy, or lease specific data on the discoverable data exchange. The chain of managing data via blockchain allows data suppliers and stakeholders to be compensated for data placed via our blockchain verified data as a service (BVDaaS) interoperable open platform data exchange model.
[0268] Blockchain-verified data storage as a service
[0269] Data needs to be stored either through archival and / or storage methods. Disk makes data storage after the blockchain verification process of the data discoverable as trusted data in one or many of our data exchanges.
[0270] Directed Acyclic Graph (DAG) as a Service (DAGaaS): This HGTP hypergraph network validation process and metagraph are the differentiating cost and speed benefits of DAG vs. blockchain. This service allows the validation process to be asynchronous with near real-time or real-time and lower latency, along with low computational power resulting in zero to low cost fees, in addition to not requiring miners in asynchronous genesis node transactions and validation. DISC provides a service to support on-board data providers with data users with trusted validated data in a more reliable, cost-effective and efficient manner than traditional distributed ledger blockchain methods. DISC can integrate blockchain transactions and smart contract and state channel transactions that can be transitioned as its last block into the first genesis node transaction for the first DAG transaction via observation reputation (PoR). Or, simply, the first generation DAG node transaction can be generated and the entire chain is horizontally connected from the time of creation.
[0271] The data market maker is DMMaaS (registered trademark).
[0272] The disk is creating a market as a market maker for data suppliers and data acquisition users through the disk's data specific exchange(s). Data suppliers can place their blockchain verified data on the data exchange or will want to put their data on the market. Data acquisition users can now buy, lease, license, use, reuse and / or receive gifts or set this discoverable data free. End users can discover trusted data that has been verified through the constellation network's node consensus system on the L-0 (level zero) network layer by simply providing a query request for keywords or words that the data supplier has set up in their back office dashboard account.
[0273] Autonomous Infrastructure Environmental, Social and Government (ESG)®
[0274] Vendors, operators and customers can be rewarded for participating in ESG via token / crypto rewards. When electric cars, drones, robots or social benefits create a smaller carbon credit footprint, crypto and social rewards are a way to recognize that evolution and support cleaner and more sustainable solutions.
[0275] DISC creates a turnkey autonomous delivery infrastructure system of systems by reusing existing infrastructure and data through steps of mining, cyber-secure data validation and providing it, thereby acting as an autonomous interoperable integrator of hardware and software, an aggregator of participating sensor data suppliers, and a market maker of trusted, monetized and rewarded data with discoverable integrity data to participating end-users through our data exchange.
[0276] In some embodiments, users or entities can look into the real world via smart delivery doorbells and other data miner cameras to view real weather and security through the metaverse.
[0277] The systems described herein may be computer systems, which may be described in the general context of computer system-executable instructions, such as program modules, executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system may be implemented in a distributed cloud. computing environment where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud. computing environment, program. modules may be located on both local. computer. system storage media and remote. computer. system storage media, including memory. storage. devices.
[0278] Components of a computer system may include, but are not limited to, one or more processors or processing units, a system memory, and a bus that couples various system components, including the system memory, to the processor. The processor may include software modules that perform the methods described herein. The modules may be programmed into the processor's integrated circuits or may be loaded from memory, storage devices, or a network, or a combination thereof.
[0279] The bus may represent any one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example and not limitation, such architectures include an Industry Standard Architecture (ISA) bus, a MicroChannel Architecture (MCA) bus, an Enhanced ISA (ISA) bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.
[0280] The computer system may include a variety of computer system readable media. Such media may be any available media that can be accessed by the computer system and may include both volatile and nonvolatile media, removable and non-removable media.
[0281] The system memory may include computer system readable media in the form of volatile memory such as random access memory (RAM) and / or cache memory. The computer system may further include other removable / non-removable volatile / non-volatile computer system storage media. By way of example only, storage may be provided for reading from and writing to a non-removable non-volatile magnetic medium (e.g., a hard drive). Although not shown, a magnetic disk drive may be provided for reading from and writing to a removable non-volatile magnetic disk (e.g., a floppy disk), and an optical disk drive may be provided for reading from or writing to a removable non-volatile optical disk, such as a CD-ROM, DVD-ROM, or other optical media. In such an example, each may be connected to the bus by one or more data media interfaces.
[0282] The computer system may also communicate with one or more external devices, such as a keyboard, a pointing device, a display, one or more devices that allow a user to interact with the computer system, and / or any device that allows the computer system to communicate with one or more other computing devices (e.g., a network card, a modem, etc.) Such communication may occur via an input / output (I / O) interface.
[0283] The computer system can communicate with one or more networks, such as a local area network (LAN), a general wide area network (WAN), LiFi, and / or a public network (e.g., the Internet) through a network adapter. As shown, the network adapter communicates with other components of the computer system through a bus. Although not shown, it should be understood that other hardware and / or software components may be used in conjunction with the computer system. Examples include, but are not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archive storage systems.
[0284] As will be appreciated by those skilled in the art, aspects of the present disclosure may be embodied as a system, method, or computer program product. Accordingly, aspects of the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, microcode, etc.), or an embodiment combining software and hardware aspects, all of which may generally be referred to herein as a circuit, module, or system. Furthermore, aspects of the present disclosure may take the form of a computer program product embodied in one or more computer readable medium(s) having computer readable program code embodied therein.
[0285] Aspects of the present disclosure are described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to some embodiments of the present disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the instructions, executed via the processor of the computer or other programmable data processing apparatus, create means for implementing the function / acts specified in the block or blocks of the flowchart illustrations and / or block diagrams.
[0286] The above description illustrates various embodiments of the present disclosure, along with examples of how aspects of these embodiments may be implemented. The above examples and embodiments should not be considered the only embodiments, but are presented to illustrate the flexibility and advantages of the present disclosure as defined by the following claims. For example, while certain embodiments have been described with respect to specific process flows and steps, it will be apparent to one of ordinary skill in the art that the scope of the present disclosure is not strictly limited to the described flows and steps. Steps described as sequential may be performed in parallel, the order of steps may be changed, and steps may be modified, combined, added, or omitted. As another example, while certain embodiments have been described using a particular combination of hardware and software, it will be appreciated that other combinations of hardware and software are possible, and that certain operations described as being implemented in software may also be implemented in hardware, and vice versa.
[0287] The specification and drawings are accordingly to be regarded in an illustrative rather than a restrictive sense. Other configurations, embodiments, implementations, and equivalents will be apparent to those skilled in the art and may be employed without departing from the spirit and scope of the disclosure, as set forth in the following claims.
[0288] The present invention may be embodied in other specific forms without departing from its spirit or essential characteristics. The described embodiments are to be considered in all respects merely as illustrative and not restrictive. The scope of the present invention is therefore indicated by the appended claims rather than by the above description. All changes that come within the meaning and range of equivalency of the claims are to be embraced within their scope.
Claims
1. 1. A validation port system comprising: a. a plurality of unmanned vehicles for successful delivery from a source location to a destination location; The unmanned vehicle flight planner is configured to select one of the plurality of unmanned vehicles and transmit a flight itinerary to successfully deliver the unmanned vehicle from a source location to a destination location; b. a charging station that charges the unmanned vehicle based on a determination of a depletion of the charge level of the unmanned vehicle; c. Repair stations for reallocating unmanned vehicles d. The Smart Landing Pad is a system that connects to a smart doorbell to determine the frequency of the smart doorbell and generate a delivery notification to a user by ringing the smart doorbell.
2. 2. The system according to claim 1, wherein a user can collect good things from an unmanned vehicle after going through an authentication process; The authentication process may include, but is not limited to, receiving biometrics, pin codes, etc. from the user.
3. 10. The system of claim 1, wherein the smart landing pad further comprises: a node having a processor, a memory, a storage device, and a network connection to one or more communication networks; Drone Landing Pad an inductive charging pad configured to recharge a battery within one of the one or more drones; One or more external webcams; A baggage receiving area is provided for receiving delivered goods.
4. 2. The system of claim 1, wherein the smart landing pad comprises: Telescopic support tube; one or more landing sensors; One or more beacon lights; one or more solar panels; A display device and a display device are provided. Input keypad.
5. The system of claim 1 , wherein a node in the smart landing pad communicates with an unmanned vehicle network controller to receive authorization for a particular unmanned vehicle to land.
6. 2. The system of claim 1, wherein the node of the smart landing comprises: a peripheral interface for connecting third party devices for use by the node; and a blockchain processor for blockchain collection, mining, logging, ledger, and recording and providing blockchain collection, mining, logging, ledger, and recording to other nodes in the drone unmanned system service network to provide a secure and redundant record of all deliveries and autonomous drone flights.
7. The system of claim 1 , wherein the blockchain processor is accessible by a third party node.
8. The system of claim 1, wherein the multi-mode unmanned vehicle good delivery system further comprises at least one of the following: an unmanned aircraft system (UAS), an unmanned aerial vehicle (UAV), a vertical take-off and landing vehicle (VSTOL), an electric vertical take-off and landing vehicle (VSTOL), an electric take-off and landing vehicle (eSTOL), an electric take-off and landing vehicle (eTOL), an autonomous vehicle (AV), an electric passenger vehicle (ePAV), or a robotic UAV / UAS, an autonomous ground transport vehicle, or a ground robotic platform.
9. The system of claim 1 , wherein the user receives the notification via a user device, including but not limited to a smart watch, a mobile device, a smart tv, a smart tablet, a laptop, etc.
10. 2. The system of claim 1, wherein the user device comprises: a. The display shows the display, and the display shows the application b. A touch screen is attached to the display for accepting input from a user via a user interface. c. One or more electronic components for processing authentication.
11. The system of claim 1 , wherein the vehicle flight planner is operable to continually determine the optimal route during travel to the destination location.
12. A smart AI / ML validation port system for unmanned vehicle management: a. a plurality of unmanned vehicles for successful delivery from a source location to a destination location; The unmanned vehicle flight planner is configured to select one of the plurality of unmanned vehicles and transmit a flight itinerary to successfully deliver the unmanned vehicle from a source location to a destination location; b. a charging station that charges the unmanned vehicle based on a determination of a depletion of the charge level of the unmanned vehicle; c. providing an efficient delivery system for receiving orders from users via user devices and initiating selected unmanned vehicles for efficient transportation from a source location to a destination location; d. The Smart Landing Pad connects to the Smart Doorbell to determine the frequency of the Smart Doorbell and generate a delivery notification to the user by ringing the Smart Doorbell.
13. The method of claim 12 , wherein the unmanned vehicle is fully autonomous, unbuilt, semi-autonomous, or partially controlled by a user.
14. The method of claim 12 , further comprising a GPS system configured to guide the plurality of unmanned vehicles to a destination location by the unmanned vehicle flight planner.
15. The method of claim 12 , wherein the Smart Landing further comprises a battery for use when the solar panel and / or inductive charging pad is not sufficient to support the nodes of the Smart Landing Pad.
16. 13. The method of claim 12, wherein the smart landing pad further comprises a remote control for operating the smart drone mailbox landing pad and the charging station nodes.
17. 13. The method of claim 12, wherein the unmanned vehicle may be, but is not limited to, a drone, an unmanned vehicle, an autonomous vehicle, an autonomous robotic device, or the like.
18. 13. The method of claim 12, wherein the user needs to authenticate for identity verification in order to receive the delivered success, and the authentication is performed using a user device.
19. The method of claim 12 , wherein the vehicle flight planner determines the optimal route based on weather condition information.
20. The method of claim 12 , wherein the unmanned vehicle can be charged at a nearby charging station within a route determined by the flight planner.