1909 results about "Smartglasses" patented technology

The invention provides a smart glasses AI voice interaction method, which comprises the following steps: simultaneously acquiring a user gesture image and a voice signal, acquiring a user historical interaction record, extracting key point coordinates and pointing direction information of the gesture image, acquiring hand distance information, generating a gesture motion path, simultaneously extracting frequency spectrum information and an intonation peak value of the voice signal, and generating a gesture motion path; forming a voice beat sequence; extracting a spatial semantic mode of the gesture and voice fusion data, and recognizing a core object of a user pointing instruction according to pointing coordinates of a gesture motion path and an intonation peak value of a voice beat sequence; after the core object pointing to the instruction is recognized, the user intention is determined in combination with the spatial semantic mode and the historical interaction record of the user; and the complete intention analysis result is output to the intelligent glasses display module to execute corresponding operation, and is fed back to the acquisition module to adjust the next capture parameters including the acquisition frequency and the recognition sensitivity, so that the response speed and the accuracy are improved.

A computer-implemented system and method for pupil-directed retinal projection in near-eye displays are disclosed. The computer-implemented system provides smart glasses with directed physical pixels that project light beams / signals directly onto a user's retina based on pupil position and size. The glasses comprise a frame, lenses with directed pixel layers, and sensors for tracking pupil movement. Each directed pixel may generate multiple virtual pixels by rapidly changing its emission angle. The glasses function as prescription lenses, virtual reality displays, and augmented reality devices without traditional optical systems. Additional features include depth sensors, cameras, and connectivity to peripheral devices. The glasses enable a seamless blend of virtual and real-world experiences, creating an immersive “Mixverse” environment. Various input methods, including gesture recognition and brain-computer interfaces, allow for intuitive control and interaction.

The invention discloses an image processing method and system for intelligent glasses, and relates to the technical field of image recognition. The method comprises the following steps: synchronizing and preprocessing data collected by heterogeneous sensors in the intelligent glasses; constructing a global space-time coordinate system; a high-risk area is determined through dynamic saliency analysis, a high-resolution detection ROI is generated, full-pixel analysis is performed on a focus area, and an obstacle list with 3D positions, categories and danger levels is output; and generating a personalized safety path through a safety corridor generation algorithm based on the 3D position of the obstacle, the motion model of the visually impaired person and the real-time position. Data collected by heterogeneous sensors in the intelligent glasses are synchronized, a global space-time coordinate system is constructed, path planning is performed after obstacles are identified, high-frequency IMU angular velocity data and a self-adaptive optical flow correction network are fused, the image reverse compensation precision in a dynamic scene is improved, and navigation safety in a complex scene is guaranteed.

1. Name of the product in this design: Smart Glasses. 2. Purpose of this design: It can be worn on the head like regular glasses and has the functions of receiving voice signals and displaying a screen. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to intelligent glasses, an interaction method and device of the intelligent glasses, electronic equipment and a medium. The sensing module, the decision making module, the execution module and the feedback module are arranged on the glasses body so as to sense multi-dimensional environment data of a surrounding environment and current behavior data of a user in a preset intelligent interaction mode, predict a behavior intention of the user, track a first behavior change of the user and a first environment change of the surrounding environment and send the first behavior change to the feedback module; and determining an instruction chain meeting a preset execution condition, executing the instruction chain to track a second behavior change of the user based on the instruction chain, and optimizing a generation algorithm of the instruction chain based on the second behavior change. Therefore, the technical problems that in the related technology, the intelligent wearable device understands the environment in a one-sided mode, interaction is passive, the intelligent wearable device can only operate according to a set rule, the intelligent level is insufficient, convenience cannot be provided for a user, and normal use of the user is easily affected are solved.

Smart glasses and an electronic device are provided. The smart glasses include a glasses frame, a glasses temple, and an electronic component. The glasses frame is connected to the glasses temple, and the electronic component is disposed in the glasses temple. The glasses temple may include a bending adjustment portion, and the bending adjustment portion includes a flexible housing and a flexible metal member. The flexible housing is of a low-pressure integrated structure and is provided with a hollow accommodation cavity. The flexible metal member is embedded in the accommodation cavity. The bending adjustment portion in the smart glasses is bendable.

The invention relates to the technical field of intelligent glasses production equipment, and discloses intelligent glasses leg metal shielding cover frame automatic rubber ring pasting equipment which comprises a feeding sliding table, a glasses positioning table, an outer supporting attaching assembly used for pressing the inner side face of a rubber ring, and an opposite extrusion attaching assembly used for pressing the upper face and the lower face of the rubber ring. And the release paper adsorption positioning assembly is used for accurately positioning release paper to which the rubber rings to be assembled are adhered on the periphery of the frame of the metal shielding cover to which the rubber rings are to be adhered on the inner sides of the left glasses leg and the right glasses leg, and the equipment utilizes the glasses positioning table to position and limit the glasses frame and the glasses legs to which the rubber rings are to be adhered. Then the release paper adsorbing and positioning assembly is used for manually positioning and adsorbing the release paper pasted with the rubber ring firstly and then automatically positioning and adsorbing the release paper pasted with the rubber ring, then the outer supporting and attaching assembly and the opposite extruding and attaching assembly are used for automatically assisting in pasting the inner side face, the upper face and the lower face of the rubber ring respectively, the precise automatic pasting action is completed in a narrow space, the pasting position precision is high, and the production efficiency is high.

The invention belongs to the technical field of intelligent glasses production corollary equipment, and discloses an intelligent glasses nose pad disassembling tool which comprises a base, a detachable profiling positioning table used for positioning intelligent glasses, an overturning locking assembly used for pressing the intelligent glasses and an adsorption disassembling assembly used for directionally adsorbing a left nose pad and a right nose pad of the intelligent glasses. The profiling positioning table comprises a left glasses leg positioning table, a right glasses leg positioning table and a glasses frame positioning table, the overturning locking assembly comprises an overturning frame, a lock catch and a plurality of locking blocks, and the adsorption disassembling assembly comprises a feeding sliding table, a disassembling base, a disassembling guide rail for directionally guiding and disassembling nose pads, a disassembling block for adsorbing the nose pads to be gradually stripped and a disassembling wrench for applying force. According to the tool, a finished intelligent glasses frame and glasses leg parts are fully positioned through the profiling positioning table, a positioning basis is provided for nose pad disassembling, then the adsorption disassembling assembly is used for directly facing the base and the right nose pad, the mode of adsorption pulling out is adopted, adhesive glue softened through hot temperature is stripped, and the technical purpose of non-destructive nose pad disassembling is achieved.

The embodiment of the invention discloses a target voice regulation and control method, device and equipment based on intelligent glasses, belongs to the technical field of intelligent wearing, and solves the problem that in the prior art, a user is difficult to obtain a voice signal meeting the own requirement due to the fact that standardization processing is generally performed on a voice signal. Comprising the following steps: acquiring audio information of a speaker in a current scene, and dividing the audio information into a plurality of audio clips; acquiring portrait information in the current scene, and associating the portrait information with the corresponding audio clip to determine a target speaker; determining corresponding sound preference information of the user in the current scene based on a mapping relation between the noise level and intelligent glasses use preference data; analyzing the sound of the target speaker, responding to a dynamic sound adjustment strategy based on the obtained sound characteristics, and optimizing the sound of the target speaker; and based on the sound preference information, performing frequency band adjustment on the optimized sound through a power amplifier arranged on the intelligent glasses to realize target voice regulation and control.

The invention discloses locking assembly equipment and an intelligent glasses assembly line body, and relates to the technical field of intelligent wearable device.The locking assembly equipment comprises a machine table, a conveying device, a turnover device, a locking device and a carrying device.The conveying device comprises a movable base, and the turnover device comprises a turnover platform rotationally installed on the movable base; in the rotating process of the overturning platform, the overturning platform has a material bearing state enabling the bearing face to be arranged upwards and a locking matching state enabling the bearing face to be arranged towards the side, and when the movable base is located at the locking station and the overturning platform is in the locking matching state, the locking electric screwdriver assembles the glasses frame and the glasses legs through screws. And the carrying device is used for transferring the circulation tool with the to-be-assembled intelligent glasses to the overturning platform in the material bearing state, and moving away the circulation tool which is transferred to the discharging station and is in the material bearing state on the overturning platform. The intelligent glasses are locked after being turned to a proper angle, so that the use of a complicated locking mechanism can be avoided, and the locking efficiency is improved.

The invention relates to the technical field of intelligent interaction, and particularly provides a method, medium, equipment and product for tool calling in task-based dialogues, the method is applied to intelligent glasses, and the method comprises the following steps: obtaining multi-round dialogue contents of a user and a pre-trained large language model; wherein the pre-trained large language model contains a plurality of different application scenes; based on the multi-round dialogue content, a marking tool calls a cue word; outputting and calling a target tool in a scene corresponding to the tool calling prompt word by utilizing the pre-trained large language model; the target tool comprises a tool name, a tool parameter name and a tool parameter value; the target tool comprises application software corresponding to the multiple different application scenes and a function control tool of the application software. Some embodiments of the application can realize task type multi-round dialogue interaction, and meet the dialogue demand of the user.

The utility model is suitable for the field of glasses, and discloses a hinge structure and intelligent glasses. The hinge structure comprises a first connecting piece and a second connecting piece. The first connecting piece comprises a first mounting plate and a rotating shaft which are connected; the second connecting piece comprises a second mounting plate and a rotating piece which are connected, and the rotating piece is rotatably arranged on the rotating shaft in a sleeving mode. Wherein the rotating shaft is provided with a first arc-shaped surface, a first limiting surface, a second limiting surface and a second arc-shaped surface, the rotating piece comprises an arc-shaped part and a bent part which are connected, the arc-shaped part is in close fit connection with the first arc-shaped surface, and the bent part and the rotating shaft are assembled and connected between the first limiting surface and the second limiting surface. According to the hinge structure provided by the invention, when the second connecting piece rotates relative to the first connecting piece, the second connecting piece is in a stable state at different rotating positions, so that the glasses legs are in a stable state at required positions relative to the glasses frame, and the use experience of a user is improved.

The invention discloses a piezoelectric film partition dynamic focusing system and method for intelligent glasses. The piezoelectric film partition dynamic focusing system comprises an optical modulation layer, a sensing layer, a control engine, a hybrid driving layer and a closed loop verification module. The optical modulation layer is integrated with an N * M piezoelectric film array, each subarea is provided with an independent electrode and a gradient thickness structure, and intervals are filled with low-modulus insulating polymers. The sensing layer is used for acquiring fixation point, diopter, temperature and head movement information of a wearer; and the control engine executes voltage mapping, temperature drift compensation and resonance suppression according to the sensing data, and drives the hybrid driving layer to complete deformation and displacement compensation. And the closed-loop verification module outputs a defocusing error in real time and feeds back a correction voltage. According to the invention, high-response, low-power-consumption and stable dynamic focusing is realized, and the visual adaptability is improved.

Systems, computer programs, devices, and methods that enable ML-based vision processing for low-power, embedded, and / or real-time applications. In one exemplary embodiment, smart glasses use classifiers that are based on machine-learned (ML) patch relationships. The ML patch features are determined during an offline training process. The ML patch features are grouped into weak classifiers, strong classifiers, and detectors to progressively improve prediction accuracy. An object detection architecture uses triggering logic, search management, and a classification neural network to enable event-based searching, interest-based searching, and / or dynamic search control. In some cases, pre-processing may also be used to minimize the neural network complexity (e.g., pre-processing for scaling, rotations, translations, etc.).

The invention relates to the technical field of sign language intelligent communication, in particular to a deaf-mute sign language translation pronunciation system which comprises a data acquisition and preprocessing module, a sign language model recognition module, a dynamic gesture model module and a voice conversion module. According to the sign language translation pronunciation system for the deaf-mute, wide-angle camera intelligent glasses are adopted for visual collection, wearable equipment is not needed, video streams and thermodynamic diagrams are combined, visual information and key point probability distribution are complementary, the influence of single-mode noise is reduced, video space-time features are extracted through a 3D CNN, long-range dependence is captured in combination with a self-attention mechanism of Transform, and therefore the sign language translation pronunciation system for the deaf-mute is obtained. The sign language recognition precision is improved, an internal reference matrix and a distortion coefficient are calculated through a calibration board, wide-angle lens distortion is corrected, it is ensured that hand key points are accurately positioned, YOLOv8 is adopted to segment an interference object, background noise is prevented from affecting recognition, 21 key point thermodynamic diagrams are generated through MediaPipe, fault tolerance of low-confidence-coefficient key points is enhanced through Gaussian kernel diffusion, and the recognition accuracy is improved. And the model identification precision is improved.

The invention relates to the technical field of sound reception, and discloses a system for multi-directional sound reception and noise reduction of a smart glasses microphone array, and the system comprises at least five microphones which are disposed at different positions of a smart glasses frame, and the first microphone is a unidirectional microphone, is located below the glasses frame, and is used for picking up the voice of a wearer; the second microphone and the third microphone are bi-directional microphones, are located right in front of the glasses frame and are used for picking up voice signals right in front of the wearer. The directivity weight of the microphone array is adjusted in real time through the dynamic optimization module, and the pickup effect of the target voice signal is enhanced preferentially. The voice enhancement module is matched to extract a target voice signal by using a Bayesian inference method, so that noise components in a mixed signal can be effectively separated, voice distortion is reduced, the definition and fidelity of the voice signal are remarkably improved, and the voice has better intelligibility in various complex noise environments.

The invention relates to the technical field of image processing, in particular to a dynamic privacy covering intelligent glasses image processing system which comprises a multi-mode sensing layer, a target detection module, a real-time covering layer and a self-adaptive adjustment module. Compared with the prior art which depends on a single timestamp or rough registration to cause the problems of insufficient space-time alignment precision, high probability of accumulative errors caused by multi-coordinate system conversion and single feature extraction mode, the method has the advantages that the synchronization precision is improved to a millisecond level and a sub-pixel level through a space-time alignment strategy of IMU (Inertial Measurement Unit) and visual feature fusion; constructing a unified coordinate conversion model based on internal reference and external reference, and eliminating heterogeneous errors of multiple sensors; a multi-modal fusion framework of thermal imaging biological characteristics, YOLOv5s-T target detection and Places365 environmental semantics is innovatively adopted, so that the target recognition rate in a complex scene is improved, the environmental adaptation efficiency is improved, meanwhile, the low-delay characteristic is kept, and leap-type improvement from accurate perception to intelligent analysis is achieved through sensor coupling calibration and multi-characteristic cooperation.

A computer-implemented system and method for pupil-directed retinal projection in near-eye displays are disclosed. The computer-implemented system provides smart glasses with directed physical pixels that project light beams / signals directly onto user's retina based on pupil position and size. The glasses comprise frame, lenses with directed pixel layers, sensors for tracking pupil movement. Each directed pixel generates multiple virtual pixels by rapidly changing its emission angle. Each directed pixel with pupil's real-time tracking, provides automatic adjustments to virtual contents, ensuring accurate alignment of images with field of view of users while identifying vergence-accommodation conflict. The glasses function as prescription lenses, virtual reality displays, augmented reality devices without traditional optical systems. Additional features include depth sensors, cameras, connectivity to peripheral devices. The glasses enable seamless blend of virtual and real-world experiences, creating immersive “Mixverse” environment. Various input methods, including gesture recognition and brain-computer interfaces, allow for intuitive control and interaction.

The invention discloses a detachable glasses leg interface assembly, a connector assembly, a detachable glasses leg and an earphone, the interface assembly comprises an interface assembly body and an interface arranged on the interface assembly body, the interface comprises a magnetic attraction seat and a base, and the magnetic attraction seat is arranged on the base. The detachable structure capable of realizing quick insertion and extraction between the front frame and the glasses legs of common glasses can be realized, so that the front frame and the glasses legs can be produced in a labor division manner, the common glasses and the intelligent glasses legs are promoted to be subjected to batch and systematic production according to a detachable standard, the production efficiency and large-scale application of the intelligent glasses are effectively improved, and the production cost is reduced. The front frames and the glasses legs of various types, which are produced according to detachable standards, can be freely adapted, so that high interchangeability is achieved, social resources are saved, and the economic burden of consumers is reduced; particularly, a more convenient scheme is provided for people with glasses wearing requirements such as myopia, hyperopia and the like to upgrade common glasses into intelligent glasses, and intelligent application upgrade of the common glasses can be expanded.

The invention discloses an interaction control method, system and equipment for intelligent glasses, and relates to the related field of intelligent glasses interaction, and the method comprises the steps: obtaining multi-modal interaction information through a multi-modal data collection device; performing interaction feature extraction on the multi-modal interaction information, and identifying an interaction intention trigger point; analyzing a co-occurrence frequency matrix between the modal pairs according to the trigger points to obtain a co-occurrence frequency vector; and inputting the co-occurrence frequency vector into a credibility evaluation module, calculating a credibility score of the interaction intention, if the score is greater than a preset threshold value, triggering an interaction control instruction, and executing a control program by the intelligent glasses. The technical problems that an existing intelligent glasses interaction mode depends on a single mode, the false triggering rate is high, and the user experience is unstable are solved, and the technical effects that through multi-mode cross validation and dynamic intention credibility evaluation, the false operation rate of the intelligent glasses is reduced, and the multi-mode interaction experience is improved are achieved.

The invention relates to the technical field of intelligent glasses, and discloses an intelligent glasses wearing identification method based on multi-modal perception, and the method comprises the steps: collecting the capacitance change rate, the facial contour matching degree, the body surface temperature, the vital signs, the head attitude angle and other multi-source feature data in real time, generating five groups of feature data, and carrying out the standardization processing and weight fusion, forming a comprehensive feature vector; calculating a preliminary confidence score by combining a dynamic weight adjustment mechanism and a rule engine, and correcting a deviation caused by head movement; judging a wearing state according to the corrected confidence score, outputting a label, and realizing function control in linkage with a gesture interaction module; the abnormal state triggers local or cloud alarm; the sampling frequency of the sensor is dynamically adjusted according to the wearing state, the frequency is reduced to 1Hz when the sensor is not worn, the frequency is improved to 10Hz when the sensor is worn so as to enhance the response precision, and the decision process is only triggered when the feature is suddenly changed in combination with an event-driven strategy. According to the invention, the precision and the reliability can be improved, and low-power-consumption design is realized.

The invention discloses an ear wearable device and a head-mounted intelligent device, the ear wearable device is used for being worn on the auricle of a human body, the ear wearable device comprises a first body, a second body, a bending part and an audio device, the bending part is correspondingly located at the upper position of the auricle of the human body, and the audio device is arranged on the first body. The first body is connected to the first end, located on the front side of the auricle of the human body, of the bending part, the second body is connected to the second end, located on the rear side of the auricle of the human body, of the bending part, a first cavity is formed in the second body, the audio device is arranged in the first cavity, an audio output port is formed in the first body, and the audio output port is connected with the first body. The audio output port is communicated with the first cavity. According to the invention, the wearing comfort of the intelligent glasses can be improved, and the method is applied to head-mounted intelligent equipment such as the intelligent glasses.

The embodiment of the invention discloses intelligent glasses, an image combination distance adjustment method and a storage medium, and the method comprises the steps: obtaining a current sight focus point of a user, determining a target image combination distance according to the current sight focus point, determining an adjustment parameter according to the target image combination distance and information related to the current image combination distance, and adjusting the image combination distance according to the adjustment parameter. The image combination distance of the left light machine and the right light machine is adjusted at least by controlling the first display area of the left micro-display to move and the second display area of the right micro-display to move, so that the display position of the target image in the visual field of the user corresponds to the current sight focus point of the user. Therefore, the dynamic adjustment of the image combination distance is realized, and the user experience is ensured.

The invention provides a stadium scenic area intelligent explanation, guide and question-answering system based on multi-modal interaction, which belongs to the technical field of intelligent text travel and artificial intelligence and comprises a database operation system, an information request and response module, a multi-modal interaction agent, a front-end interface / peripheral device for user interaction and a user information management module. The method has the advantages that a multi-level database is constructed to collect and update data, scenic spots can be accurately positioned and matched, the multi-mode interaction agent supports voice, image and text input, personalized explanation is achieved in combination with user behavior habits, the intelligent glasses end and the mobile phone application end of a front-end interface work cooperatively, data interaction is achieved, and user experience is improved. The user information management module has card punching and sharing functions, and the system is additionally provided with user gesture recognition and off-line working functions, so that the system has the advantages of accurate and real-time data, accurate positioning, good interactive experience, strong individuation, stable operation, convenient sharing and the like, and the service quality of guide explanation of the scenic spot of the venue is effectively improved.

The invention relates to the field of intelligent perception, and mainly relates to a user interaction intention perception method and system based on intelligent glasses, and the method comprises the steps: obtaining the abnormal degree of an eye jump drop point according to the main eye jump and the subsequent correction eye jump times after detecting that the current eye jump drop point of a user enters an interaction region of an interactive object; acquiring a pupil diameter change sequence after the main eye jump, and acquiring a pupil transient response score based on the pupil diameter change sequence; after a certain time from the falling point time of the main eye jump, acquiring a real-time double-variable contour ellipse area based on information of a plurality of latest fixation points, and acquiring a fixation stability score based on the real-time double-variable contour ellipse area; obtaining a real-time gaze residence time according to the falling point time of the main eye jump, and obtaining a residence time evaluation score based on the real-time gaze residence time; fusing the abnormal degree, the pupil instantaneous response score, the stability score and the evaluation score to obtain a dynamic interaction intention score of the user, and determining the interaction intention of the user based on the intention score. The perception accuracy of the user interaction intention is improved.

The embodiment of the invention discloses an identity authentication method and system, intelligent glasses, a storage medium and electronic equipment, equipment identity authentication is carried out on the intelligent glasses according to a first secret key stored by a hardware-level security chip, and if the authentication is passed, an equipment trusted environment is provided through the hardware-level security chip; in response to an identity verification request initiated based on a target to-be-authenticated operation executed by a wearing user of the smart glasses, performing local biological feature comparison on the wearing user through an equipment trusted environment to obtain a corresponding first comparison result; when a certain condition is met, whether the intelligent glasses and a cloud end corresponding to the intelligent glasses pass bidirectional authentication is judged, if yes, biological characteristics of a user wearing the intelligent glasses are encrypted according to a first secret key, the encrypted biological characteristics are sent to the cloud end, and a secondary comparison result returned by the cloud end is received; therefore, according to the first comparison result and / or the second comparison result, the identity verification result of the wearing user can be determined.

The invention relates to the technical field of intelligent glasses production equipment, and discloses intelligent glasses left and right hinge frame inner hot-pressing patch equipment which comprises a feeding sliding table, a magnetic attraction tool, a glasses frame carrier, a Z-axis lifting sliding table and a patch assembly for positioning and locking the hinge frames on the two sides of a glasses frame and accurately positioning the patch direction. The automatic hot-pressing assembly is used for carrying out hot-pressing pasting operation on the cooling fin, and the pasting assembly is used for positioning the pasting position of the cooling fin to be pasted and the hinge frame in the up-down, left-right and front-back three-axis six-direction mode and comprises a pasting base and an elastic frame pressing module erected on the outer side of a hinge frame positioning base; according to the hot-pressing surface-mounting equipment in the left and right hinge frames of the intelligent glasses, the surface-mounting assembly is used for accurately positioning the cooling fins to be mounted on the inner walls of the hinge frames, and the automatic hot-pressing assembly is used for assisting in heating and softening and pressurizing and applying the cooling fins to the inner walls of the hinge frames; the purpose of accurately, efficiently and conveniently pasting the cooling fins is achieved.

Hinge assembly for smart glasses (100) comprising: a support plate (110) which comprises a first cantilevered portion (113) and a second cantilevered portion (114), the support plate (110) comprising an opening (190) between said first cantilevered portion (113) and said second cantilevered portion (114), the support plate (110) comprising a first side wall (128) and a second side wall (129) connecting said first cantilevered portion (113) to said second cantilevered portion (114): a support body (130) rotatably coupled to the support plate (110); a masking and guide body (180) for an electrical cable (220) interposed between the cantilevered portions (113, 114), the masking and guide body (180) for the electrical cable (220) comprising a first rest portion (183) and a second rest portion (184) spaced from each other and at least one bridge element (185) connecting the rest portions (183, 184) to each other, the rest portions (183, 184) facing each other and defining a free gap between them, the distance between said side walls (128, 129) is such as to determine a first angular delay between the rotation of the support body (130) and the rotation of the masking and guide body (180) for the electrical cable (220) and a second angular delay between the rotation of the support body (130) and the rotation of the masking and guide body (180) for the electrical cable (220).

The invention relates to the technical field of intelligent glasses payment, and discloses a payment method and system based on intelligent glasses. The method comprises the following steps: collecting user iris biological characteristic data through an intelligent glasses eye pupil recognition module to generate an iris characteristic sequence; performing feature point extraction and pattern analysis on the iris feature sequence to obtain an identity verification result; when the identity verification result reaches a preset confidence threshold value, activating the near field communication module to establish a payment channel; acquiring payment request data of the transaction terminal through the near field communication module to generate a transaction information packet; performing hierarchical encryption on the transaction information packet by adopting a block chain encryption algorithm to generate an encrypted transaction block; constructing a distributed verification chain based on the digital signature feature and the time sequence feature of the encrypted transaction block; performing consensus calculation on verification results of the nodes through the distributed verification chain to obtain a transaction verification state; according to the transaction verification state confirmation level and the network load, dynamically adjusting block chain network parameters; and finishing final execution of the payment instruction.

Systems, computer programs, devices, and methods that enable ML-based vision processing for low-power, embedded, and / or real-time applications. In one exemplary embodiment, smart glasses use classifiers that are based on machine-learned (ML) patch relationships. The ML patch features are determined during an offline training process. The ML patch features are grouped into weak classifiers, strong classifiers, and detectors to progressively improve prediction accuracy. An object detection architecture uses triggering logic, search management, and a classification neural network to enable event-based searching, interest-based searching, and / or dynamic search control. In some cases, pre-processing may also be used to minimize the neural network complexity (e.g., pre-processing for scaling, rotations, translations, etc.).