1161 results about "Smart phone" patented technology

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.

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.

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 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 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.

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.

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.

An automated dispensing apparatus for providing food and medication to pets, includes a base supporting a feed assembly with an auger chute and motor-driven auger, and a storage bin positioned above to supply food. A medication feed assembly features a holder and a dispensing plate, controlled by an actuator, to deliver medication to a food bowl located below the dispensing ends. The apparatus is managed by a control circuit equipped with a CPU, memory, and wireless communication capabilities, allowing remote programming and adjustment of feeding and medication schedules via a remote electronic device, such as a smart phone. Additionally, a camera and lighting system are integrated for monitoring the dispensing process. The apparatus can be powered by a rechargeable battery, AC adapter, or solar cells, ensuring continuous operation. This system provides a reliable and automated solution for feeding and medicating pets, suitable for both indoor and outdoor use.

1. The name of the design product: Air. 2. The use of the design product: used for Carplay, Android Auto, HiCar, Android system, and original car upgrade intelligent multimedia function, and smart phone mirror projection, wireless interconnection control. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

An embodiment system for authenticating a user of a robotaxi includes an authentication server and a robotaxi. The authentication server configured to create a first authentication number, transmit the first authentication number to a smart phone the user, receive a second authentication number from the robotaxi when authenticating the user using a digital key fails, and request unlocking of a door to the robotaxi when the first authentication number and the second authentication number match. The robotaxi configured to receive the second authentication number from the user, transmit the second authentication number to the authentication server, and unlock the door in response to the request from the authentication server.

The invention provides a ratio fluorescent probe for detecting aureomycin in meat food and a detection method. After an aureomycin solution is added into the prepared Au NCs ratiometric fluorescent probe solution, a fluorescence emission band of a reaction system at 620 nm is almost unchanged, and a fluorescence emission band at 425 nm is remarkably enhanced. Meanwhile, the color of a reaction system under an ultraviolet lamp is gradually changed from red to purple along with the increase of the concentration of the aureomycin, and quantitative detection of the aureomycin can be realized by utilizing the characteristics. The detection method disclosed by the invention comprises two detection methods, one is a ratio fluorescent probe detection method, and quantitative detection is realized by utilizing linear correlation between the F425 / F620 fluorescence intensity ratio and the chlortetracycline concentration. The other method is a visual quantitative detection method, a fluorescent paper chip image is collected by using a smart phone and converted into a corresponding RGB value, and quantitative detection is realized by using a linear relationship between an R / B value and the chlortetracycline concentration. The detection method disclosed by the invention has the advantages of high selectivity, high sensitivity, simplicity in operation, obvious phenomenon and good stability and repeatability.

The invention relates to the technical field of deep learning, and discloses a foot model generation method and system based on deep learning, and the method comprises the steps: collecting multi-angle foot image data of a user foot; inputting the multi-angle foot image data into a high-order embedded neural network for foot feature extraction to obtain foot feature point set data; inputting the foot feature point set data into a frequency domain diffusion guide neural network to execute image enhancement reconstruction of foot missing details to obtain enhanced foot image data; a point-line fusion neural network is utilized, foot contour points and anatomical feature lines are extracted from the enhanced foot image data at the same time, three-dimensional structure reconstruction is carried out, and foot point cloud model data are obtained.According to the method, differential modeling strategies are applied to different foot areas, the precision and the calculation efficiency are balanced, and the accuracy and the calculation efficiency are improved. The whole modeling process can be efficiently operated on a common smart phone and a cloud system, and the calculation complexity is greatly reduced.

The invention is applicable to the field of cover plate glass processing, and provides a method for processing and preparing a cover plate glass with a superhard optical coating, which comprises the steps of glass substrate pretreatment, multi-layer superhard coating layer preparation, AF anti-fingerprint film preparation and post-treatment detection. According to the invention, the glass substrate is subjected to basic pretreatment (cleaning and plasma treatment), the Mohs hardness of the superhard coating layer can reach 5 when an evaporation process is adopted, and the Mohs hardness can reach 6 when a sputtering process is adopted; the initial water drop angle is larger than or equal to 115 degrees, the water drop angle is still larger than or equal to 102 degrees after 2500 times of friction tests, and the rubber friction tests can reach more than 6300 times; the total thickness of the film layer is controlled to be 30-100 nm, the film layer is adaptive to cover plate glass with different sizes of more than 1-20 inches (small-size adaptive evaporation / sputtering and large-size adaptive magnetron sputtering), the process is compatible with a continuous film coating line, and the film layer is suitable for processing of intelligent watch glass, intelligent mobile phones and small-size touch screen cover plate glass and has good practicability and mass production potential.

The invention discloses a lower limb movement monitoring and guiding method. A hardware part comprises a flexible induction sheet array, a smart phone, a built-in RGB-D camera of the smart phone and an edge calculation module. The flexible induction sheet array comprises five flexible induction sheets, each flexible induction sheet comprises a skin contact layer, a sensor layer, a flexible FPC substrate and a protective layer, the sensor layer is provided with a three-axis MEMS acceleration sensor, a PVDF piezoelectric film sensor, a flexible FPC substrate integrated signal conditioning module and a Bluetooth communication module; the flexible induction sheet is provided with an anatomical positioning mark; the lower limb movement monitoring and guiding method comprises the following steps: S1, cleaning; s2, a step of attaching a flexible induction sheet; s3, an automatic positioning calibration step; s4, a data transmission step; s5, a data fusion and calculation analysis step; s6, a normalization evaluation step; and S7, a feedback and optimization step. Quantitative assessment of lower limb movement can be effectively achieved, and the monitoring and guiding effect is good.

The system provides a real-time video and audio communication with a 911 call center to perform effective CPR on a patient experiencing OHCA with real-time monitoring and feedback. The system includes a Mobile App that communicates with a smart phone with camera, a wireless remote-CPR equipment stand and emergency CPR kit. The mobile app will automatically send a link to a caregiver's cell phone responsive to a 911 call placed by the caregiver, to establish a secured video call via which the 911 center can guide the caregiver in performance of CPR until an ambulance arrives. This integrated description provides a comprehensive overview of the AI-driven CPR guidance system, detailing its core components, operational workflow, training processes, and scalability. By combining real-time coaching, advanced diagnostics, and EMS coordination, the system offers a groundbreaking approach to improving OHCA outcomes.

The invention relates to the technical field of inertial navigation, in particular to an indoor pedestrian positioning method based on a ResNet and Transform network, which comprises the following steps: firstly, acquiring IMU (Inertial Measurement Unit) data of a smart phone, acquiring a real motion track of a pedestrian through equipment carrying a Tango technology, and preprocessing the acquired data; extracting motion features of the IMU data through a ResNet network, and predicting instantaneous speed based on residual mapping between learning input data; then, inputting the predicted instantaneous speed sequence into a Transform model, capturing time sequence features of IMU data through a self-attention mechanism, and combining with speed prediction to optimize a trajectory in a motion direction; and finally, evaluating the accuracy of navigation positioning according to the predicted trajectory and the real trajectory. According to the method, the deep learning technology and IMU data characteristics are fully combined, the accuracy and robustness of trajectory prediction are remarkably improved, and the method has high practical application value.

The present disclosure provides an apparatus configured to perform gesture recognition and communicate with a smartphone, comprising one or more sensors configured to detect movement of at least one wearable component associated with a user, one or more memories configured to store gesture data, and one or more processors, coupled to the one or more memories and the one or more sensors, configured to capture, via the one or more sensors, motion data corresponding to movement of the at least one wearable component, input the motion data into a machine learning model trained to predict gestures, output, by the machine learning model, a gesture identifier based on the motion data, and transmit, via a wireless communication interface, the gesture identifier to a smartphone device.

A system for diagnosing ocular diseases of a subject includes a mobile device (e.g., a smart phone, a tablet) to facilitate acquisition of imagery of the subject's eyes and a backend server to evaluate the imagery using a machine learning model to determine if the subject's eyes are health or unhealthy. The mobile device may execute an application to facilitate the acquisition of imagery for evaluation. In one aspect, the application may gradually ramp up the intensity of a flash when capturing imagery of the subject to reduce or, in some instances, mitigate delays caused by the camera adjusting its white balance. In another aspect, an external flash device may be coupled to the mobile device to provide a light source that is more powerful and more responsive than conventional flash devices.

The invention belongs to the field of artificial intelligence and contact type measurement, and discloses a blood oxygen saturation degree measuring method based on a smart phone camera. The method comprises the following steps: acquiring fingertip video data by using a smart phone under the condition of no external equipment, extracting a pulse photoplethysmography (PPG) signal from the fingertip video data, and constructing a multi-dimensional feature set through feature extraction and calculation; furthermore, the invention provides a two-channel deep learning model fusing a convolutional neural network and a long-short term memory network, the multi-dimensional feature set and the preprocessed PPG signal are processed in parallel, the advantages of the two networks in the aspects of feature extraction and time sequence modeling are fully exerted, and the accuracy of feature extraction and time sequence modeling is improved. And the sufficiency of the extracted features and the generalization ability of the model are ensured, so that the accurate estimation of the oxyhemoglobin saturation is realized. The research provides a feasible scheme for health self-examination in a family environment.