831 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.

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.

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.

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.

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 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 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 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.

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.

The invention provides a self-service zooming method of a camera system based on depth-guided image quality evaluation. The method comprises three core links of multi-scale depth perception, depth-guided image quality evaluation and joint-driven intelligent focusing control. By fusing lightweight feature coding and a multi-scale optimization strategy, accurate depth information is generated, and a spatial perception basis is provided for subsequent processing; the depth features and the image texture features are combined, a focusing fuzzy evaluation model is constructed, and reliable feedback of the imaging quality is achieved; a key focusing area is identified based on depth and quality information, a target focal plane is decided, and a lens is driven through an intelligent control algorithm to complete rapid and accurate focusing. Through collaborative fusion of depth perception and image quality evaluation, intelligent zoom control of the camera system in a dynamic scene is realized, the imaging consistency and focusing precision are effectively improved, the method is suitable for multiple camera devices such as smart phones, security monitoring and automatic driving, and the imaging experience of users is improved.

The invention relates to a data interaction system for AI glasses and a smart phone under intelligent scene perception, and relates to the technical field of data interaction, and the system comprises a scene perception module which is used for reading position data, direction data and attitude angle data of the AI glasses and executing scene data initialization of the smart phone; the perception processing module is used for activating a scene perception sensor of the AI glasses and carrying out scene perception; the judgment module is used for executing resource state sensing of the AI glasses and the smart phone and dynamically configuring a sensing task; and the interactive processing module is used for packaging and uploading the low-dimensional scene state vectors identified by the smart phone, and respectively executing scene identification processing. The technical problems that in the prior art, the cooperation efficiency of the AI glasses and the smart phone is low, resource utilization is unbalanced, and the real-time sensing and processing capacity is insufficient in a miscellaneous scene are solved, and the technical effects that efficient cooperation and dynamic load balancing of the AI glasses and the smart phone are achieved, and scene sensing real-time performance and energy efficiency are improved are achieved.

A computer implemented method includes establishing a local connection to a local private network via a gateway device. A connection is established between the gateway device and a management service in a remote network. A private network target device is discovered on the local private network and information identifying the private network device is provided to the management service. Communications are transferred between the management service and the private network target device via the gateway device over the connection.

The invention belongs to the technical field of voice signal quantization, and particularly relates to a power enterprise smart phone customer service interaction method based on artificial intelligence, which comprises the following steps: acquiring a voice frame in real time and converting the voice frame into a frequency domain, extracting a main masking tone and a total masking threshold value, and combining with Bark sub-band weighted fusion to obtain a main masking tone and a total masking threshold value; and generating the comprehensive perception masking intensity reflecting the voice masking capability. And dynamically adjusting the sensitivity weight and the quantization relaxation coefficient of each section of the A-law thirteen-line quantizer based on the intensity, adaptively adjusting the range of each section and the quantization step length, and realizing non-uniform quantization of perception driving on the premise of keeping the input range compatible with the G.711 standard. When voice energy is concentrated, quantization is relaxed to improve compression efficiency, and when voice is sensitive, fine quantization is maintained to protect sharpness. According to the invention, on the basis of not changing the decoding compatibility, both the subjective voice quality and the coding efficiency are considered.

The invention discloses an abnormal gait assessment method and system based on a monocular video, and a computing device. The method comprises the following steps: acquiring a human skeleton point sequence of the monocular video; performing data correction on the obtained human skeleton point sequence; and inputting the corrected human skeleton point sequence into a pre-trained space-time diagram convolutional network model, and obtaining an output result of the space-time diagram convolutional network model, the output result including an evaluation result of the gait anomaly condition of the subject in the monocular video. The method can effectively solve the problems of left and right leg confusion, easy shielding of key points and the like of skeleton point extraction in the monocular video, can enhance capture and understanding of gait space-time dynamic features, realizes accurate extraction of human gait space-time features, improves the accuracy and robustness of monocular video gait analysis, and improves the accuracy and robustness of the monocular video gait analysis. Effective gait analysis can be carried out by using a common monocular camera (such as a smart phone), the cost is lower, and the application scene is wider.

1. The name of the design product: Bluetooth headset (L62-2). 2. The use of the design product: The design product is suitable for listening to music of smart phone, MP3, MP4, iPad, tablet computer, notebook computer, etc. When applied to smart phone, it can also realize the call of the phone. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a robust pedestrian dead reckoning method and device based on geomagnetic self-adaption and time-frequency pace fusion, electronic equipment and a storage medium. The method comprises the following steps: carrying out preprocessing and attitude calculation on data of an inertial sensor and a geomagnetic sensor; based on geomagnetic module value fluctuation, direction consistency and frequency domain energy characteristics, geomagnetic disturbance self-adaptive judgment and quality grading are achieved; time-frequency energy features are extracted through short-time frequency domain analysis, and robust pace event detection is achieved; on the basis of a residual feedback mechanism, fusing an environment structure and external positioning constraint to carry out online correction step length estimation; dynamically adjusting the weight of the magnetometer according to the geomagnetic quality to realize heading robust fusion; and finally, step-level trajectory recursion is carried out. Through geomagnetic perception-time frequency gait-residual step length-course fusion multi-module closed-loop cooperation, track continuity, positioning precision and long-term stability are effectively improved, and the method is suitable for continuous and reliable positioning of smart phones and wearable terminals in indoor, underground and other weak GNSS environments.

A voice intercom system and method therefor are disclosed. The method includes wirelessly transmitting intercom directory data to a smartphone. The intercom directory data facilitates generation, on the smartphone, of an intercom access directory interface having a plurality of call initiation selection options, each with respect to which a call to a respective call recipient can be attempted.

The invention relates to the technical field of non-networked indoor autonomous positioning and navigation, in particular to a smart phone positioning and navigation method and system in a non-networked indoor scene, and the method comprises the steps that a smart phone receives data returned by a Bluetooth AOA positioning base station through point-to-point communication, and an AOA position estimation result is obtained through calculation of a single-base-station AOA fusion positioning model; the smart phone collects real-time data of an IMU and a magnetometer, and user coordinates and course angles are recursively estimated through a pedestrian dead reckoning (PDR) method; according to an AOA base station deployment condition of an actual indoor space, multi-base station centroid positioning, AOA fusion positioning and PDR positioning are automatically switched, so that a position result can effectively cover a whole space scene; the method comprises the following steps: constructing an obtained binary grid map through an indoor map model, carrying out position post-processing based on map matching on positioning coordinates to obtain pedestrian coordinates, and carrying out digitization on a map model to realize map display and finally realize pedestrian position display. The method can be reliably operated in a scene lacking network coverage.

The invention provides a mobile communication terminal testing device and a terminal testing method, and relates to the technical field of mobile communication testing. The device is composed of a test master control module, a multi-scene simulation module, a multi-dimensional test module, a terminal adaptation module, an automatic control module, a data acquisition and analysis module, a result output module and a calibration module. The multi-dimensional test module synchronously acquires radio frequency performance, communication quality, power consumption and stability indexes, and realizes efficient and accurate test of mobile communication terminals of different systems and different types in combination with automatic control and adaptive adaptation technologies. Practice verification shows that the test efficiency is improved by more than 60% compared with a traditional method, the radio frequency performance test precision reaches + / -0.1 dB, the communication quality test error is less than or equal to 2%, the method is adaptive to more than 95% of mobile communication terminals such as a smart phone, an Internet of Things terminal and an industrial communication terminal, and the test efficiency and the data reliability are remarkably improved.

The preparation method comprises the following steps: firstly, synthesizing polyamide acid by adopting a monomer polymerization strategy, pouring the polyamide acid onto a glass plate, casting to form a film, demolding with deionized water, washing and drying to successfully prepare the colorless transparent polyimide film. Secondly, colorless transparent polyimide films with different proportions are prepared by regulating and controlling the monomer proportion, and the physical and chemical properties are analyzed. A novel molecular main chain is constructed by utilizing different groups of different monomers, the colorless transparent polyimide film is prepared, and the colorless transparent polyimide film has excellent optical performance, thermal performance, mechanical performance and the like, can be used on a flexible organic light-emitting diode substrate, is crucial to the development of a flexible display technology, and has wide application prospects. And meanwhile, the method has far-reaching significance on development of portable electronic products such as wearable equipment and smart phones in the future.

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.

The invention relates to the technical field of biomedical detection, and discloses a portable urine component detection system and method based on a fluorescence sensor array. The system comprises a fluorescence sensor array, different fluorescence probes are used for detecting different trace components in urine, and fluorescence color gradient changes are generated through a probe-target object reaction, so that bilirubin, glucose and albumin in the urine are detected. The detection system comprises a micro-fluidic chip which integrates a capillary driving channel and a colorimetric reaction area and is used for sample transmission and reaction area positioning; an ultraviolet excitation light source and a multi-angle optical sensor are arranged in the camera obscura type color acquisition module, and the camera obscura type color acquisition module eliminates ambient light interference and captures fluorescence chromaticity signals; and the intelligent data processing system is integrated with an intelligent analysis end of the smart phone, establishes a quantitative relationship between chromaticity parameters (RGB and hue saturation) and the concentration of a target object through a machine learning model, and outputs a detection result in combination with an ambient light correction algorithm.

The present invention relates to a system and method for, for example, periodically collecting physiological parameters in real-time from a plurality of subjects, for example temperature from cancer patients, heartbeat rates from persons being treated for coronary conditions, physiological orientation information mechanical shock and related parameters, for example from football players in danger of head trauma, and other physiological measurements which it real-time convey useful information. This information is coupled to a system which integrates the information, subjects it to criteria (for example doctor-specified dangerous condition criteria), communicates information and, optionally provides alarms to clinicians. The invention, through the deployment of computing functions on smart phones connected to the skin applied transducer collecting physiological parameters reduces power consumption, and this objective is further achieved through the use of sampling strategies and timing, and the limitation of access to the skin applied transducer.

The invention discloses an electric tricycle controller intelligent parameter adjusting system and method based on Bluetooth, and the system is characterized in that the system comprises a mobile terminal which employs a smart phone to install an intelligent parameter adjusting APP, and comprises a parameter input and interaction module, a controller compatibility pre-detection module, a Bluetooth communication module A, and a data processing module; the vehicle-mounted controller serves as a core execution unit and comprises a hardware information storage and analysis module, an intelligent parameter adjustment module, a Bluetooth communication module B and a multi-dimensional safety control module, the communication stability is improved in a breakthrough mode, the communication error rate is reduced to 0.1% or below from 5%-8% in the prior art through the BLE 5.1 frequency hopping technology and XOR dual verification, the communication distance is increased to 15 meters, and the communication efficiency is improved. And no attenuation is caused when penetrating through a metal vehicle body.

The invention belongs to the field of intelligent information system management, and particularly discloses an intelligent telephone voice client system and a related method. The system covers a plurality of modules of voice acquisition and preprocessing, high-precision voice recognition, deep intention understanding and the like. A plurality of innovative algorithms such as an improved deep convolutional neural network and attention mechanism fused speech recognition algorithm are adopted, the speech recognition accuracy is improved, the client intention is accurately analyzed, and efficient multi-round dialogue management is realized. Knowledge can be quickly retrieved by means of a knowledge graph technology, and customer emotion is recognized and a service strategy is adjusted through a multi-modal fusion algorithm. Through verification of multiple embodiments, the system is good in performance and high in reliability, and can improve the customer service level and competitiveness of enterprises.

A wireless food temperature detector for an oven includes a temperature probe. The temperature probe includes a needle, a probe tube and a Bluetooth signal transmission module. The needle is configured for extending into food, a first thermistor is arranged in the needle, one end of the probe tube is connected to the needle, and the Bluetooth signal transmission module is located in a cavity formed by the needle and the probe tube. The first thermistor is electrically connected to the Bluetooth signal transmission module, and the Bluetooth signal transmission module is configured to transmit a temperature signal detected by the first thermistor to the oven, a smart phone and a mobile control terminal.

The invention relates to the technical field of three-dimensional modeling, and discloses a garment design three-dimensional modeling visual display system, which comprises a three-dimensional reconstruction module for calculating to obtain a scale-free three-dimensional point track; the point set time domain analysis module is used for calculating to obtain an equivalent pendulum length; the global scale factor calculation module is used for calculating to obtain a global scale factor; the human body grid construction module is used for constructing a human body grid; the three-dimensional clothing grid generation module is used for generating a three-dimensional clothing grid; and the clothing visualization module is used for perspective projection rendering. The method does not need to depend on professional calibration equipment and manual measurement operation, a common smart phone or a camera can complete whole-process data acquisition and processing, cross-equipment scale unification is achieved, and differences caused by different shooting equipment are avoided. The human body and garment size measurement result is stable and reliable, the effect of fitting the garment to the human body can accurately restore the real wearing state, and the visual deviation between virtual display and a real object is effectively reduced.