1512 results about "Smart phone" patented technology

An exemplary image segmentation method and system that employs, in a deep neural network, (i) an attention gate that fuses features with skip connections and (ii) a graph or multi-scale convolutional attention module that enhances the long-range and local context. The segmented region or image data derived in part from the segmented region can be subsequently employed for diagnosis, controls, planning, assessment, or analysis of various diseases. The image data can be medical images (e.g., from medical instruments), sensor images or videos (e.g., from smart phones, cameras, satellites, etc.), as well as 3D objects or volume.

Locator systems are disclosed for locating buried utilities such as conduits, cables, pipes. or wires. The locator system may include image-capturing and position and orientation measuring devices such as magnetic compass, accelerometers, gyros, GPS, and DGPS. The system may associate images captured during the locate process with buried utility position data and the other sensor data. These data and images may be further associated with terrain images from satellites or aerial photography to provide a highly precision map and database of buried utility locations and visual images of the burial site. Information so obtained may be transferred to a hand-held personal communication device, such as a smart phone to show the location of buried utilities in combination with photo-images and / or terrain maps.

Provided in the present invention are an interaction and generation method for obtaining a three-dimensional model by means of photographing, a method for obtaining a picture by means of a three-dimensional model, and a part machining and manufacturing method. The interaction and generation method comprises: a user using a terminal to capture scene information, wherein the scene information can be an outdoor or indoor scene, the terminal can be a smart phone, an AR / VR device or other smart terminals having a photographic function, and the captured scene information is RGB and / or RGBD (including depth) information; and sending an RGB image and / or RGBD image I to a monocular three-dimensional reconstruction algorithm, so as to obtain a corresponding three-dimensional model, which can be displayed on an interaction interface and superimposed with a real scene, or can be displayed on a single page.

Camera and / or other sensor analysis of skin, used to diagnose and monitor health conditions. A computer, receiving skin data from a user, where the skin data is images and / or other data of the skin. The computer processes the skin data identify skin conditions, their status, and to compare the skin data with information indicative of health conditions that are not skin diseases. This can be done by finding similar skin data to other data received from other people who have specified health conditions and / or by looking for changes from previous images. The skin data can be captured by a smart phone camera (alone or with digital peripheral attachments) or a dedicated capture device such as a periscope, one way mirror, or cubicle. An augmented reality marking system can be used to mark areas on the user's skin to compare against other previous skin images and / or data.

The invention discloses a self-optimized injection molding prediction and monitoring method. The method comprises a data acquisition module, a data analysis module, a remote monitoring module, an appearance detection module, a fault processing module and a process adjustment module. And the data analysis module trains a process parameter prediction model and a defect prediction model by using historical production data to realize real-time prediction of key process parameters and early warning of defects. And the process adjustment module adaptively optimizes the process parameter setting of the injection molding machine according to the prediction result, so that the stability of the product quality is ensured, and human intervention is reduced. And the remote monitoring module is connected with a smart phone and a PC terminal of a user through the Internet, so that a technician can check the production state at any time and intervene in time when the system cannot be automatically adjusted, long-time shutdown of equipment and damage to the product quality are avoided, and the stability and efficiency of a production line are further improved.

A solid-state circuit breaker comprises an air gap, at least one counter and / or a timer, a memory, a radio and a microprocessor to: retrieve saved health data, alert data and counter, timer data from the memory, determine a status of a heath rating by data and comparing the heath rating to a threshold, if it is poor, send a message via a smart phone application (APP) and start a counter or timer, determine if the counter is at a predefined value and / or the timer is expired, if the counter is at a predefined value and / or the timer is expired, turn OFF the breaker and inhibit from being turned on, send a breaker OFF / disabled alert message using the radio to an end user / a customer via the APP, and if the counter is not at a predefined value and / or the timer is not expired, increment / decrement the counter and / or the timer.

A system that allows owners of Non Fungible Tokens (NFTs) to access an NFT via a physical item. The physical item may include authenticating information that enables the system to verify ownership of an NFT that is maintained in a remote database, such as a blockchain ledger. The item thus enables the owner to quickly and securely access the digital asset associated with the NFT via a reader, such as a smart phone or other computing device. The system provides a method for binding an NFT to the physical item, and a corresponding method for accessing the NFT and the related digital asset later using the physical item.

The invention discloses a psychological state pre-screening system and method based on multi-modal data. The psychological state pre-screening system comprises a data acquisition module, a data preprocessing module, a psychological state analysis module, a psychological state evaluation and screening module and a feedback and early warning module. The system collects multi-modal data such as facial expressions, voices, texts, physiological signals and the like, and performs psychological state analysis by using a deep learning algorithm. The psychological state score is calculated through a multi-modal data fusion algorithm, and feedback or early warning is provided, so that the user or related mechanisms can perform further intervention. According to the method, the accuracy and the real-time performance of psychological state screening can be improved, and the problem of misjudgment of a single data source is avoided. The system can be integrated to a smart phone, a smart bracelet, a computer and other equipment, realizes low-cost and non-perceptual mental health monitoring, is suitable for personal health management, enterprise employee mental monitoring, psychological counseling auxiliary diagnosis and school psychological screening, and is beneficial to early discovery and intervention of mental health problems.

The charging station for charging devices, such as tablets, smart phones, mobile electronic devices, mobile computing devices, and other electronic devices accepts insertion of the device into a storage aperture. Insertion of the device into the storage pushes a receiver rearward towards a charging base. A locking finger locks the receiver into position to overcome biasing devices that bias the receiver towards the storage aperture. The locking finger maintain the position of the receiver. The locking finger also releases the receiver to push the device outwards towards the exit. A conductive contact within the storage aperture contacts the device to charge and communicate with the device. A blocking finger extends across the device to also limit removal of the device from the storage aperture.

The invention discloses a dynamic concurrency control and resource optimization method of a smart phone outbound system. According to the method, the calling resources are dynamically allocated through the multi-dimensional weight model, and line loads and risk management and control are effectively balanced on the premise of ensuring compliance requirements of operators. Real-time state monitoring of the calling number is combined with an intelligent cooling strategy, so that a risk control mechanism is prevented from being triggered by overuse of a single line, and high-efficiency access of high-value customers is ensured through priority scheduling. The concurrency scale and the calling rhythm are accurately controlled through double constraints of the double-token mechanism, the instant flow is prevented from impacting the bearing limit of the system, it is ensured that the outbound call rate is always within the safety threshold value of an operator, and therefore the call failure rate and resource waste are greatly reduced. A parameter optimization mechanism based on dynamic feedback can automatically adjust a resource allocation strategy according to historical data and operation environment changes, for example, rate limitation is temporarily relaxed and remainder smooth scheduling is started in a burst traffic scene, so that smooth transition of a service peak value is realized.

Camera and / or other sensor analysis of skin, used to diagnose and monitor health conditions. A computer, receiving skin data from a user, where the skin data is images and / or other data of the skin. The computer processes the skin data identify skin conditions, their status, and to compare the skin data with information indicative of health conditions that are not skin diseases. This can be done by finding similar skin data to other data received from other people who have specified health conditions and / or by looking for changes from previous images. The skin data can be captured by a smart phone camera (alone or with digital peripheral attachments) or a dedicated capture device such as a periscope, one way mirror, or cubicle. An augmented reality marking system can be used to mark areas on the user's skin to compare against other previous skin images and / or data.

The invention discloses an intelligent voice recognition and analysis system based on a universal smart phone chip, and the system comprises a data collection module which synchronously captures a voice signal and motion sensor data through a built-in microphone array and a motion sensor, and generates an original multi-mode data package with a time sequence stamp; and the noise reduction processing module is used for receiving the original multi-mode data packet, executing environmental noise spectrum analysis, generating an anti-phase sound wave, performing signal enhancement and outputting a pure voice stream. According to the method, through multi-modal noise separation, nonlinear signal enhancement and hierarchical privacy protection, the contradiction between speech recognition precision and privacy security in a complex environment is solved, and meanwhile, by means of dynamic resource scheduling and a lightweight model, the finite computing power of a mobile phone chip is utilized to the maximum extent in the aspect of speech recognition.

Disclosed is technology that analyzes voicemail data and takes a particular action based on the analysis of the data. For example, a user device (e.g., a smart phone) can receive a voicemail from an external caller and analyze data representative of the voicemail with an artificial intelligence agent. The artificial intelligence agent can utilize contextual data including user device contextual data and past voicemail contextual data to determine the appropriate task to perform based on the voicemail. Based on that determination, the user device can automatically perform the task that is relevant to the voicemail on behalf of the user.

In an infusion pump system that includes a pump that may have a user interface for pump programming, one or more smartphones or other remote control devices that interface with the infusion pump, and / or an automated insulin delivery algorithm, there is a potential conflict between commands such as boluses being programmed on multiple devices and / or calculated by the AID algorithm at the same time. In order to avoid low glucose levels that could result from delivering multiple boluses from these various sources when only one bolus is needed, systems and methods disclosed herein provide a bolus permissions and prioritization scheme that prioritizes boluses programmed with the infusion pump and one or more remote control devices and calculated by a closed loop delivery algorithm.

An RFID transponder including a Bluetooth® compatible transceiver (BLEET) is described. The Bluetooth® compatible transceiver may be configured to set data that is transmitted via one or more RFID transceivers in the transponder and to return data received by the RFID transceiver(s) to a client application running, for example, on a user's smart phone. The BLEET may be used for electronic vehicle tracking or tolling. Vehicle occupancy data may be set by the user with the client application via a Bluetooth® connection in connection with high occupancy vehicle tolling and express lane incentive programs. The BLEET may be used in a congestion pricing (CP) toll area, wherein the smart phone determines a toll rate based on the location, when triggered by the BLEET, that the BLEET was read by an RFID reader located on a boundary of the CP toll area.

The invention provides a D-A type organic fluorescent small molecule, a preparation method and application of the D-A type organic fluorescent small molecule in detection of nitrofuran antibiotics, and belongs to the technical field of fluorescent sensing. The D-A type organic fluorescent micromolecule is composed of 2-(2-aminophenyl) benzothiazole and an electron-donating group, the excitation spectrum of the D-A type organic fluorescent micromolecule is obviously overlapped with the absorption spectrum of nitrofuran antibiotics, and fluorescence quenching response can be shown through the inner filter effect; the trace nitrofuran antibiotics can be detected in a liquid phase in an ultrafast, high-sensitivity, excellent-selectivity and strong-anti-interference manner. According to the invention, a quantitative evaluation system can be constructed in combination with a smart phone, the RGB value of the image of the liquid-phase fluorescence sensor is output in real time, and rapid, accurate and visual quantitative detection of nitrofuran antibiotics in a real food sample or a water source is realized. In addition, the filter paper fluorescence sensor has the advantages of being portable and easy to prepare, and nitrofuran antibiotics can be rapidly identified on site in an actual scene.

The invention provides a rapid visual D-limonene detection method and application thereof, and belongs to the technical field of analytical chemistry, the method comprises the following steps: uniformly mixing ethanol and water to form a solvent system, sequentially adding template agents Pluronic P123 and Pluronic F127, phloroglucinol, 1, 3, 5-trimethylbenzene and ethylenediamine, and uniformly stirring at room temperature; after the reaction is completed, washing, centrifuging, drying and calcining an obtained sample to obtain DNCzyme; the method comprises the following steps: adding TMB, H2O2 and DNCzyme into an acetic acid-sodium acetate buffer solution HAc-NaAc, finally adding D-limonene, incubating, and carrying out visual detection on the solution. The method for detecting the D-limonene through colorimetric sensing is rapid, simple, convenient, low in cost, high in sensitivity and good in selectivity, and visual detection is achieved by combining a smart phone.

The present application concerns the visual identification of materials or documents for tracking or authentication purposes. It describes methods to automatically authenticate an object by comparing some object images with reference images, the object images being characterized by the fact that visual elements used for comparison are non-disturbing for the naked eye. In some described approaches it provides the operator with visible features to locate the area to be imaged. It also proposes ways for real-time implementation enabling user friendly detection using mobile devices like smart phones.

Augmented reality systems provide graphics over views from a mobile device for both in-venue and remote viewing of a sporting or other event. A server system can provide a transformation between the coordinate system of a mobile device (smart phone, tablet computer, head mounted display) and a real world coordinate system. Requested graphics for the event are displayed over a view of an event.

Combining augmented reality (AR), virtual reality (VR), and photogrammetry to facilitate interactions with the physical world is disclosed. Images may be collected through various means (e.g., images taken by drones, ground-based photography, satellite imaging, etc.) and used to construct a three-dimensional (3D) model representation of the real world. This virtual environment can then be experienced by users in either a computing system (e.g., a desktop computer, laptop computer, smart phone, tablet, etc.) or a VR interface (e.g., a headset). The users can create various annotations, such as voice recordings, images, text, etc., and place these annotations in the virtual 3D model of the real world. These annotations are linked to the physical world via a coordinate system. AR “explorers” and VR users can then interact with one another via geographically aligned AR and VR models.

The invention discloses a method for constructing a dual-mode sensor through smartphone-assisted surface molecular imprinting for detecting diphenyl phosphate and application of the dual-mode sensor, and belongs to the technical fields of biochemical analysis, functional nano materials and life science. In synthesis, solubility and selectivity of a target object and photo-initiation efficiency in a polymerization process are optimized, and diphenyl phosphate molecularly imprinted nano-enzyme MIPs is rapidly prepared through a molecular imprinting technology; in the detection, H2O2 and 3, 3, 5, 5-tetramethyl benzidine TMB are catalyzed by peroxidase-like activity of Fe and N-CDs to generate a chromogenic reaction and an inner filter effect of oxTMB is used for inhibiting a fluorescence signal, dual-signal cross validation is realized in cooperation with a smart phone, and the colorimetric-fluorescence sensor for detecting diphenyl phosphate is constructed. The sensor has specific recognition selectivity and binding affinity of diphenyl phosphate, is simple to operate and low in cost, can realize sensitive detection of diphenyl phosphate in a wide linear range, has the detection limit as low as 16 pg / mL, and is suitable for field analysis of trace DPhP in a complex water environment.

The invention provides a multi-strategy road flatness detection method, which comprises the following steps of: (1) updating and correcting acceleration data acquired and measured by an acceleration sensor of a vehicle-mounted smart phone in real time by adopting an attitude self-correction algorithm so as to adapt to the dynamic change of a vehicle in a driving process; (2) utilizing a multi-scale fuzzy entropy algorithm to carry out multi-scale processing on measurement data which is collected by a vehicle-mounted smart phone and reflects the road flatness in a vehicle driving process, constructing a road flatness representation model, and combining global features and local features; and (3) adopting a self-attention mechanism convolutional neural network to carry out road flatness identification on acceleration data collected by a vehicle-mounted smart phone in a vehicle driving process. According to the invention, real-time accurate detection of the road flatness can be well realized.

The invention discloses a smart phone automatic operation method and system based on a sandbox and a large language model, and relates to the field of mobile terminal intelligent control, and the method comprises the steps: carrying out the traversal of a current mobile phone or an application interface, and obtaining the interface description of a structured format; and obtaining a user instruction, combining the user instruction with the interface description, sending the user instruction and the interface description to a large language model LLM for operation analysis, and executing an operation corresponding to an analysis result through the sandbox. According to the invention, a sandbox execution environment can be built on the smart phone, and is tightly combined with a large language model, so that automatic exploration and efficient operation of the mobile terminal are realized. On the premise that complex scripts do not need to be compiled, the method can also rapidly adapt to unknown interfaces or dynamically-changing scenes, a security isolation and backspacing mechanism is provided on the execution level, and the method has wide application prospects in the aspects of automatic testing, user daily operation, application data collection and optimization and the like.

To provide a cup holder used for preventing a not-too-heavy glass, cup, etc. to be placed on a horizontal surface such as a table from falling down due to wind, etc., the cup holder also used as a stand for thin portable terminals that allows a tablet terminal, a tablet type computer such as an iPad (a trade name: a registered trademark), and a thin portable terminal such as a smart phone to stand by itself on a horizontal surface without being supported by a hand and allows a user to view a display screen such as a liquid crystal display screen of the thin portable terminal.SOLUTION: A cup holder cum stand for thin portable terminals comprises: a flat placement surface placed on a horizontal surface from above; and a cylindrical wall extending in a direction orthogonal to the placement surface and forming a cylindrical hollow portion for storing a cylindrical cup, where the cup holder cum stand for thin portable terminals has prescribed weight. The cylindrical wall includes a first recessed groove and a second recessed groove that are disposed in a positional relation of linearly crossing the hollow portion and each have a prescribed groove width in a circumferential direction of the cylindrical wall.SELECTED DRAWING: Figure 1

The invention is applicable to the technical field of PVC (polyvinyl chloride) plastic manufacturing control, and provides a bio-based PVC plastic sheet and an automatic manufacturing method thereof, and the method is applied to an automatic manufacturing control system of the bio-based PVC plastic sheet. The system comprises a data acquisition module, a model training module, a parameter optimization module, a production monitoring module, a quality detection module, a wireless communication module, a memory, an alarm, a processing center and a smart phone. The data acquisition module, the model training module, the parameter optimization module, the production monitoring module, the quality detection module and the wireless communication module are respectively connected with the processing center; the smart phone is in wireless network connection with the wireless communication module in the range of a wireless network or the Internet; the invention further provides a bio-based PVC plastic sheet. According to the invention, extrusion forming parameters can be automatically set, automatic extrusion forming production is realized, and automatic detection is realized.

The invention discloses a hotel guest room service task intelligent scheduling system based on a cloud platform, and relates to the technical field of hotel service management, the intelligent scheduling system comprises a mobile client, a cloud server and a database system; and the mobile client is used for configuring a special mobile application program running on mobile equipment such as a smart phone or a tablet personal computer for hotel guest room service personnel. According to the intelligent hotel guest room service task scheduling system based on the cloud platform, service personnel can quickly respond to service requirements through real-time task pushing and mobile operation, the task waiting time is shortened, the moving speed of the service personnel is increased through positioning and navigation functions, the service response time is shortened, and the service efficiency is improved. Through detailed recording and picture and video uploading in the service process, service quality tracing and supervision are facilitated, weak links of the service process can be found and improved through data analysis, in addition, special requirements of guests are met through personalized service recommendation, and the satisfaction degree of the guests is improved.

The invention discloses a shoulder and neck fatigue monitoring and reminding system based on flexible multi-mode sensing, and belongs to the field of human health monitoring. Aiming at the problems of single shoulder and neck fatigue monitoring means, poor comfort, lack of personalized reminding and the like in the prior art, the invention provides a complete solution comprising signal acquisition, signal processing, wireless communication and intelligent reminding. According to the system, a flexible multi-mode sensor is adopted to collect electromyographic signals and strain signals, a machine learning algorithm is combined to evaluate the fatigue degree, a low-power-consumption Bluetooth technology is utilized to transmit data to mobile equipment, and multi-mode reminding is carried out through a smart phone. The shoulder and neck fatigue state can be evaluated more comprehensively and accurately, personalized reminding and intervention are achieved, shoulder and neck diseases can be effectively prevented and relieved, and working efficiency and life quality are improved.

The invention relates to the technical field of deep learning image processing, in particular to a RetinexNet improved low-illumination image enhancement method based on a CMOS image sensor and electronic equipment, and the method comprises the following steps: S1, collecting and preprocessing an image; s2, decomposing the network model; s3, a blind de-noising network model is established; s4, a brightness adaptive adjustment model; s5, performing image fusion module and output; compared with the prior art, the method has the advantages that the brightness, detail recovery and noise suppression effects of the low-illumination image can be remarkably improved, and the method has remarkable advantages in image quality, structure retention and visual effect, and is particularly suitable for image enhancement in a low-illumination environment; the method provided by the invention can be widely applied to the image enhancement aspect of mobile equipment in a low-light environment, such as a smart phone, a tablet personal computer, a notebook computer, a digital camera, a security camera and the like, so as to capture and transmit image and video signals.

A wireless charger device can support multiple different receiver devices having different wireless charging specifications. The wireless charger device can house two wireless power transmitter coils having different dimensions and arranged coaxially with each other. A first coil can have a size and shape compatible with a portable device such as a smart phone while the second coil can have a size and shape compatible with a smaller device such as a smart watch. The first coil and the second coil can deliver power through the same charging surface, or the first coil can deliver power through a first charging surface while the second coil can deliver power through a second charging surface opposite the first charging surface.