Falcon eye

Abstract

The method involves activating the journey monitoring system via a processing unit linked to the "Falcon Eye" system. It includes automatically starting an imaging unit inside the vehicle upon entering a start code or scanning a QR code. This unit records visual, audio, and motion data, analyzing it through integrated sensors and AI algorithms. Live streaming can be shared with authorized parties via the smart app or an external link for real-time monitoring. The system analyzes driver and passenger behavior to detect abnormal activity based on security standards, enabling early risk detection. Immediate alerts are triggered inside the vehicle, and a safety confirmation notification is sent upon detecting hazards. If no response is received, the system transmits the vehicle's location and live video feed to authorities. Journey data is securely encrypted and stored in the cloud, ensuring privacy and preventing tampering.

Description

[0001] Title of the Invention: Falcon Eye

[0002] Detailed Description:

[0003] The following description outlines one embodiment of the "Falcon Eye" system for journey monitoring within vehicles, based on the accompanying illustrations. It is important to note that this detailed description provides an example of the system’s structure and operation and does not limit the scope of the invention, which may be implemented using other equivalent methods or technologies.

[0004] As illustrated, for example, in Figures (7 / 8), the "Falcon Eye" system consists of integrated hardware and software units working together to enable monitoring and response functions. The system is activated when the user enters the journey start code via the interface application (106) before departure or upon boarding. The code is transmitted to the internal processing and control unit (103) via a local connection such as Bluetooth, internal Wi-Fi, or through a cloud network. The system verifies the code’s validity for the specific journey, and upon confirmation, the system is instantly activated. The smart camera unit (101) begins recording live video, while all environmental sensors (102) are activated, including:

[0005] • Audio sensors inside the camera or near the ceiling to detect noise and shouting

[0006] • Motion sensors embedded in the vehicle’s structure to detect abnormal vibrations or sudden stops

[0007] • Light sensors to capture sudden changes in lighting within the vehicle

[0008] Real-Time Journey Monitoring & AI-Based Analysis

[0009] Simultaneously, the journey-sharing feature is activated, automatically generating an encrypted live-streaming link via the cloud server (200) and sending it to the user’s trusted contacts, such as family or friends. This enables real-time journey tracking through a secure application or web browser.

[0010] During the journey, all recorded data from cameras and sensors is analyzed using advanced artificial intelligence hosted within the Al unit of the cloud server (201). The system processes video and audio data in real time to identify abnormal activities, such as:

[0011] • Shouting or sudden loud noises

[0012] • Altercations or fights

[0013] • Assault attempts

[0014] • Loss of consciousness inside the vehicle

[0015] The Al also monitors driver and passenger behavior, distinguishing between ordinary actions and potential security threats using advanced behavioral models.

[0016] Automated Security Response & Emergency EscalationIf a security threat is detected, the system automatically initiates self-response protocols, including:

[0017] • Triggering an in-vehicle alarm via the internal speaker (105) to alert passengers and the driver while deterring potential attackers

[0018] • Sending an instant emergency notification to the user via the application (106), prompting them to confirm safety within 120 seconds

[0019] • If the user fails to respond within the given timeframe or selects emergency assistance, the system escalates the situation by:

[0020] o Transmitting the live video feed and real-time vehicle location to emergency response centers or security agencies

[0021] o Utilizing the wireless communication module (104), which supports 4G / 5G networks, to ensure high-speed data transmission

[0022] o Allowing authorities to take immediate action based on the video evidence and precise vehicle location

[0023] Data Storage, Security & System Integration

[0024] Once the journey is completed and the vehicle reaches its destination, the system automatically deactivates. However, all recorded data remains securely stored in the cloud storage unit (202) using strong encryption protocols to:

[0025] • Prevent data tampering or unauthorized access

[0026] • Enforce strict data retrieval policies, allowing access only through official authorization or for specific security purposes

[0027] • Ensure passenger privacy and prevent misuse

[0028] Additionally, the system supports seamless integration with:

[0029] • Smart transportation applications

[0030] • Insurance companies

[0031] • Logistics service providers

[0032] • Law enforcement agencies

[0033] This enhances vehicle security, fosters a safer travel environment, and ensures a more reliable transportation experience for users.

[0034] Technical Field of the Invention:

[0035] This disclosure generally relates to the field of security and smart monitoring systems within vehicles. More specifically, it pertains to technologies for data recording, behavior analysis using visual and audio sensors integrated with artificial intelligence, and live streaming in intelligent transportation environments. It also includes real-time alert systems for detecting potential risks, secure cloud storage to prevent unauthorized access, and the automatic activation and deactivation of the system based on the journey code, thereby enhancing vehicle security and providing a reliable mechanism for journey documentationTechnical Background of the Invention:

[0036] Despite the availability of vehicle security systems, existing solutions exhibit significant shortcomings in integration and real-time risk response. Traditional surveillance cameras (Dashcams) merely record events without intelligent analysis, rendering them incapable of immediate interaction with emergencies or preventing tampering with recorded data. Similarly, systems such as the European eCall are limited to emergency alerts in the event of collisions, while ride-sharing applications rely on user intervention to share location, which reduces the actual response speed in critical situations.

[0037] Recently, artificial intelligence technologies have emerged with the capability to analyze video and recognize hazardous behaviors such as violence or attempted assault, along with audio analysis systems capable of detecting shouting or gunfire. However, these solutions remain fragmented and lack integration into a unified in-vehicle security system.

[0038] The "Falcon Eye" system provides a comprehensive solution that integrates smart camera surveillance, data analysis using artificial intelligence, integration with visual and audio sensors, live video sharing with family and friends, autonomous emergency response, safety confirmation notifications, automatic alerts to security authorities when necessary, and encrypted cloud storage. The system activates upon entering the journey code, triggering all its components, thereby enabling real-time journey monitoring, in-vehicle behavior analysis, and emergency response without user intervention. This makes it a fully integrated and more efficient system compared to all existing solutions

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[0043] Possible Applications of the System:

[0044] The "Falcon Eye" system is an advanced technological solution designed to monitor and analyze in-vehicle events in real time, making it suitable for various sectors, including private vehicles, ride-sharing services, government applications, and logistics operations. The system's activation and integration mechanism depends on the specific use case, allowing for either automatic or manual activation based on predefined scenarios.

[0045] ’’Possible Applications of the ’Falcon Eye’ System and Integration Mechanism” Integration with Smart Transportation Services (e.g., Uber and Careem)

[0046] The "Falcon Eye" system serves as an additional security layer in smart transportation vehicles, where it is automatically activated upon entering the journey start code via the ridesharing application. Once the code is verified, the system activates smart cameras and sensors to monitor the vehicle and analyze audio and visual data in real time using visual and audio sensors integrated with Al. This enables the detection of unusual behaviors such as altercations, assault attempts, loss of consciousness, or other emergencies.

[0047] The system offers the option to share live video with family and friends through the application, providing an additional layer of safety during the trip. If the system detects a threat, it triggers an in-vehicle alarm to alert passengers and deter any hostile behavior. Additionally, it sends a safety confirmation notification to the driver and passenger. If there is no response within 120 seconds, the system automatically transmits the live location and recorded video to security authorities, ensuring a swift emergency response.

[0048] At the end of the journey, the system automatically stops recording, and all collected data is securely stored in the cloud to protect privacy and prevent data tamperingIntegration with Traditional Taxis

[0049] In traditional taxis, the "Falcon Eye" system operates without requiring a pre-assigned journey code, as it is automatically activated by scanning a QR code installed inside the vehicle. Once scanned, the smart cameras and environmental sensors are activated, enabling real-time visual and audio data analysis to detect any abnormal activities, such as:

[0050] • Altercations

[0051] • Emergency situations

[0052] • Assault attempts or aggressive behavior

[0053] The system allows live video sharing with family and friends via the app or an external link, enhancing security during the journey.

[0054] Security Measures and Automated Response

[0055] • If a potential threat is detected, the system triggers an in-vehicle alarm, alerting passengers and the driver while deterring hostile actions.

[0056] • A safety confirmation notification is sent to the driver and passenger.

[0057] • If no response is received within 120 seconds, the system transmits the live video and real-time location to emergency authorities for immediate intervention.

[0058] Data Storage and Privacy Protection

[0059] • At the end of the journey, the system automatically stops recording.

[0060] • All data is securely stored in the cloud to ensure privacy and prevent tampering.

[0061] • Video retrieval is only possible for security purposes or with an official request from the relevant authorities

[0062] Integration with the Logistics and Commercial Transport Sector

[0063] The "Falcon Eye" system serves as an additional security layer in logistics transport vehicles and commercial trucks, activating automatically at the start of the journey through the smart application integrated with the fleet management system. Once the journey is logged, the smart cameras and visual and audio sensors are activated to monitor the vehicle, driver, and cargo in real-time, utilizing advanced sensors and Al integration.The system enables live video sharing with fleet supervisors or the security control center via the app, providing an extra layer of security during the journey. If the system detects a threat, it:

[0064] • Triggers an in-vehicle alarm to alert the driver and deter hostile actions.

[0065] • Sends a safety confirmation notification to the fleet supervisor.

[0066] • If no response is received within 120 seconds, the system transmits the live location and recorded video to the security control center for rapid intervention.

[0067] Emergency Response & Incident Management

[0068] In case of an emergency, the system automatically sends data to the relevant authority based on the nature of the incident:

[0069] • Company operations center - to monitor the incident and manage the crisis internally.

[0070] • Logistics company security department - to take appropriate security measures.

[0071] • Contracted private security firms - for immediate response to theft or intrusion attempts.

[0072] • Police or civil defense - in critical emergencies, such as serious accidents or armed assaults.

[0073] Data Storage & Privacy Protection

[0074] At the end of the journey, the system automatically stops recording, and all data is securely stored in the cloud to ensure privacy and prevent tampering.

[0075] Integration with Insurance Companies

[0076] The "Falcon Eye" system serves as an intelligent tool to enhance insurance operations by documenting accidents, improving risk assessment, and accelerating claims processing. Integration with insurance companies allows "Falcon Eye" to be offered as an optional addon service that customers can subscribe to, enabling insurance providers to access recorded data without bearing the cost of installing the system in all insured vehicles.

[0077] How the System Works in the Insurance Sector

[0078] • Customer Subscription & Installation: When a customer subscribes to the service, the "Falcon Eye" system is installed in their vehicle, allowing the insurance company to analyze recorded driving data.

[0079] • Accident Detection & Recording: In the event of an accident, the system automatically activates, with smart cameras and visual and audio sensors beginning to record and analyze data in real-time.

[0080] • Secure Data Storage: Accident recordings and related data are securely stored in the cloud, following the highest security standards.• Claims Processing & Verification: When filing an insurance claim, either the customer or the insurance company can request access to the recordings to verify accident details and facilitate compensation decisions.

[0081] • Long-Term Driver Behavior Analysis: The system can analyze driving behavior over time, enabling insurance companies to offer discounts or benefits to customers with safe driving records

[0082] Illustration Descriptions

[0083] • FIG.l: This diagram presents the general structure of the "Falcon Eye" system and the sequence of core operational processes to ensure vehicle monitoring and intelligent emergency response. It illustrates the interaction between the smart application, sensors, Al analysis units, video-sharing mechanisms, and automated response systems.

[0084] • FIG.l: This diagram depicts the data flow within the "Falcon Eye" system, starting from data reception from sensors and cameras, proceeding to data analysis using Al, and culminating in decision-making and execution of appropriate responses.

[0085] • FIG.3: This diagram outlines the network architecture of the "Falcon Eye" system, which relies on an SMS / Wi-Fi network as the primary data transmission hub between various system components. The diagram highlights how data flows between the vehicle, cloud server, smart application, security authorities, and the user's family and friends.

[0086] • FIG.4: This diagram details the internal structure of the smart camera within the "Falcon Eye" system. The camera functions as the core component, integrating data collection and processing before transmitting the information to cloud storage or security authorities.

[0087] • FIG.5: This diagram presents the sequence of operations within the "Falcon Eye" system, from the start of a journey to its completion, considering security measures and automatic monitoring throughout the process.

[0088] • FIG.6: This diagram illustrates how the "Falcon Eye" system responds to emergency situations inside the vehicle and the automated mechanisms executed to ensure passenger and driver safety.

[0089] • FIG.7: This diagram showcases the fundamental components of the "Falcon Eye" system, which consists of interconnected elements that work together to achieveefficient monitoring, data analysis, and instant emergency response inside the vehicle. The system follows a top-to-bottom hierarchical structure, ensuring sequential data processing for optimal performance.

[0090] • FIG.8: This diagram explains the system’s operation and workflow, demonstrating the complete sequence of "Falcon Eye", from entering the journey code, activating cameras and sensors, analyzing data, determining potential threats, and initiating automated responses, to storing data in the cloud.

[0091] • FIG.9: This diagram details the integration of hardware and software within the "Falcon Eye" system, showing how data is exchanged between sensors and smart cameras, processed using Al, and then transmitted as alerts and reports to the smart application and cloud servers for user security assurance.

[0092] • FIG.10: This diagram outlines all user interactions with the application within the "Falcon Eye" system, from app launch to receiving alerts, with a focus on automated system responses.

[0093] • FIG.ll: This diagram demonstrates how data is captured inside the vehicle, processed using Al, and appropriate actions are taken based on the data analysis. It highlights the flow of data from sensors to the processing system, leading to security decisionmaking based on intelligent analysis.

[0094] • FIG.ll: This diagram showcases how incoming sensor and camera data inside the vehicle is analyzed using Al, classifying behavior as normal or suspicious, followed by appropriate system responses based on the analysis.

[0095] • FIG.13: This diagram illustrates the management of video recordings, from capturing footage to secure cloud storage, ensuring data security, controlled access, and the implementation of retention and deletion policies in emergency cases.

[0096] • FIG.14: This diagram explains data protection measures, from receiving data from sensors and cameras, applying encryption, and managing access control and decryption under strict security protocols. The system ensures data confidentiality and prevents unauthorized access.

[0097] • FIG.15: This diagram illustrates how vehicle data is received and analyzed using visual and audio sensors integrated with Al, determining the appropriate notifications and security alerts, with an emphasis on instant automated responses in the event of a detected emergency

Claims

Claims for the "Falcon Eye" System:Independent Claim:

1. "Falcon Eye" System for Vehicle Monitoring and Intelligent Emergency ResponseAn integrated intelligent security system for real-time monitoring and analysis of vehicle and passenger behavior, comprising:o Smart Application: Serving as the main interface for system control, allowing users to manage system operation, receive security alerts, share live video, and interact with relevant authorities.o At least one Smart Camera: Equipped with behavior analysis capabilities using artificial intelligence, capable of capturing real-time visual data.o Set of Environmental and Motion Sensors: Including audio, visual, and motion sensors to monitor activity inside the vehicle.o Central Processing and Control Unit: Equipped with artificial intelligence capabilities to process data extracted from sensors and cameras, detecting abnormal behaviors or potential risks.o Wireless Communication Unit: Supporting 4G / 5G / Wi-Fi networks to transmit data between the vehicle, smart application, and cloud servers.o Emergency Response System: Automatically triggering alarms inside the vehicle and sending notifications to users and relevant authorities upon detecting danger, including:■ Issuing an audible alert inside the vehicle upon detecting an unusual incident.■ Sending an immediate notification to the user via the smart application to confirm safety within 120 seconds.■ Sharing data, geographic location, and live streaming with relevant authorities if the user does not respond. o Encrypted Cloud Storage Unit: Safeguarding all security recordings in a manner that prevents tampering or unauthorized access, with strict policies governing data retrieval.o Anti-Tampering and Jamming Measures: Where the system detects any attempt to disable or disconnect, and takes measures to prevent it.Dependent Claims:

2. System Operation via Smart Application According to Claim 1 According to Claim 1, the system is operated via the smart application, where:o A trip code is entered or a QR code is scanned to activate the system automatically.o The application allows management of user identity data, supporting Anonymous Mode.o The application receives real-time security notifications upon detecting danger inside the vehicle.o The application permits sharing of live video and geographic location with authorized parties such as family members or security control centers.o In case of emergency, the application sends emergency alerts to relevant authorities automatically if the user does not respond within 120 seconds.

3. Behavioral Data Analysis via Artificial Intelligence According to Claim 1According to Claim 1, the system analyzes behaviors inside the vehicle using artificial intelligence algorithms, such that:o It identifies facial expressions and abnormal behaviors.o It classifies suspicious movements such as assaults or loss of consciousness.o It utilizes deep learning to improve threat detection accuracy.

4. Emergency Response via Smart Application According to Claim 2 According to Claim 2, upon detecting danger:o An audible alarm is immediately triggered inside the vehicle. o A notification is sent to the user via the smart application to confirm safety within 120 seconds.o If there is no response, the situation is automatically escalated, and data is shared with relevant authorities.

5. Encrypted Storage and Data Management via Smart Application According to Claim 1According to Claim 1, all identity data and video records are securely stored within encrypted cloud storage, where:o All recordings are encrypted using advanced security algorithms.o Recordings can only be retrieved with official authorization or a court order.

6. Integration with Relevant Authorities via Smart Application According to Claim 2According to Claim 2, the system is linked with security monitoring centers such that:o Alerts are automatically sent to relevant authorities upon detecting danger.o Analytical reports on incidents are provided based on recorded data.

7. Jamming Resistance and Communication Protection According to Claim 1According to Claim 1, upon detecting an attempt to jam communication:o Data continues to be recorded locally inside the vehicle. o An immediate report is sent to the operating company upon the end of jamming.o All data is uploaded to the cloud once the connection isrestored.

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