74 results about "Face scanning" patented technology

The invention discloses an aviation transient electromagnetic pod coil attitude correction method and system, and belongs to the field of aviation geophysical exploration, and the system comprises a surface scanning industrial camera module which is used for obtaining the image information of a suspension coil in real time; the industrial-grade integrated navigation module is used for outputting inertial navigation data; the time synchronization and data acquisition module is used for establishing a time unification mechanism; the visual processing module is used for extracting the image processed by the time unification mechanism to obtain visual features; the inertial navigation resolving module is used for obtaining an inertial navigation state of a coil attitude angle through angular velocity integration; the data fusion and attitude estimation module is used for performing fusion calculation by combining the visual features and the inertial navigation state to obtain a fusion result; and the projection area and magnetic moment calculation module is used for calculating the ground projection area and the effective emission magnetic moment component of the coil according to the fusion result. According to the method, the system complexity and the electromagnetic interference risk caused by multi-inertial navigation layout are reduced, and the detection precision and stability of the aviation transient electromagnetic data are improved.

A system comprises an intraoral scanner, a three-dimensional (3D) image capture device, and a computing device operatively coupled to the intraoral scanner and to the 3D image capture device. The computing device receives intraoral scan data of a dental site of a patient generated by the intraoral scanner during intraoral scanning. The computing device further receives one or more 3D images of a face of the patient generated by the 3D image capture device during the intraoral scanning, wherein the intraoral scanner is captured in the one or more 3D images. The computing device registers the one or more 3D images of the face of the patient to the first intraoral scan data based at least in part on a first position of the intraoral scanner relative to the face of the patient in the one or more 3D images.

The embodiment of the invention belongs to the field of artificial intelligence, and relates to a face-scanning payment method, which comprises the following steps: when a face-scanning payment request is received, obtaining a first image of a customer through a POS terminal; performing image reconstruction on the first image through an image super-resolution reconstruction algorithm to obtain a high-resolution second image; inputting the second image into a face detection model to obtain a face region image in the second image; performing feature extraction on the face region image through a local binary pattern algorithm to obtain a face feature image; performing face recognition in a preset face feature database based on the face feature image to obtain an identity verification result of the face scanning payment request; and when the identity verification result shows that the client identity is legal, responding to the face scanning payment request to complete the face scanning payment operation. The invention further provides a face-scanning payment device, computer equipment and a storage medium. According to the invention, the accuracy of face-scanning payment of the POS terminal is improved.

The invention discloses a method and a device for determining a movement track of a mandible and electronic equipment. The method comprises the steps that an auxiliary part, fixed to the gingiva, in the mouth of a target object is scanned through intraoral scanning equipment, intraoral scanning data are obtained, and the auxiliary part is provided with a feature structural part; acquiring mark point track data corresponding to the mark points on the feature structural component through face scanning equipment; and according to the mark point trajectory data and the intraoral scanning data, determining the motion trajectory of the mandible of the target object. The technical problem that mandible movement measurement in the prior art is not suitable for edentulous jaw patients is solved.

The invention relates to the technical field of cultural relic restoration, in particular to a laser scanning input device and system for virtual restoration of cultural relics, comprising a base, a control panel arranged on the front of the base, a fixed block arranged on the upper surface of the base, a bearing base arranged in the middle of the fixed block, and a stand column arranged on each of the two sides of the fixed block. A first scanning head is arranged on the stand column, a cross beam is connected to the top of the stand column, a second scanning head is arranged on the cross beam, three mounting grooves are formed in the fixing block, a lifting mechanism is arranged in each mounting groove, a supporting frame is arranged on the back face of the base, and a bottom face scanning mechanism is arranged on the supporting frame. When the cultural relics are virtually repaired, the cultural relics are firstly subjected to laser scanning, the three-dimensional information of the cultural relics is obtained, then three-dimensional virtual modeling is carried out, all structures and modules cooperate with one another, digital storage and restoration work of the cultural relics is jointly completed, and repairing of the cultural relics is facilitated.

1. The name of the design product: protective cover. 2. The use of the design product: used for protecting face scanning machine and other equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The invention discloses an intelligent logistics sorting method and device, a terminal and a storage medium, and relates to the field of logistics sorting.The intelligent logistics sorting method is based on a multi-face scanning system, the system comprises a plurality of industrial camera sets, an entrance photoelectric sensor and an exit photoelectric sensor, and the method comprises the steps that flight information is pulled from a warehouse management system, and large package distribution information is obtained from a logistics distribution system; the control unit is used for controlling the camera set to collect cargo box images and record information when receiving signals of the entrance photoelectric sensor, carrying out bar code decoding and OCR identification on the collected images and fusing and matching with flight information, carrying out photoelectric verification when receiving information of the exit photoelectric sensor, and outputting main order numbers and large package numbers for sorting after verification is passed. According to the logistics container sorting device, the technical effects that the logistics containers are efficiently and accurately sorted, the sorting errors are reduced, and the logistics sorting efficiency and accuracy are improved are achieved.

The invention discloses a global space environment parameter distribution reconstruction method and system based on cloud edge collaboration, and belongs to the technical field of space environment detection. The method comprises the following steps: completing registration of a satellite at a cloud side, and maintaining a connection state with the cloud side through an application layer heartbeat mechanism; maintaining a collaborative other satellite list, and obtaining and analyzing a face scanning calculation model to obtain an input data demand of the face scanning calculation model; generating at least one data query request based on the input data demand and the cooperative other satellite list, and sending the data query request to a cloud side and / or other satellites, so that the cloud side and / or other satellites return a data query result; and providing a data query result to the face scanning calculation model to obtain a global space environment parameter distribution reconstruction result. According to the method and the device, the timeliness of the face scanning calculation result can be improved, and the accuracy and the stability of the face scanning calculation result are further ensured or even enhanced by utilizing richer and diversified data input.

The utility model discloses a three-dimensional human face scanning device, which comprises a base and a main body, the base is used for supporting the main body, the main body comprises a scanning surface facing a human face and is provided with a first scanning module, a second scanning module and a third scanning module at intervals, and the periphery of each scanning module is provided with a light supplementing lamp. The at least one scanning module is arranged to directly face a human face; the concentrator is in communication connection with each scanning module so as to receive the scanning data, and is in communication connection with the processing equipment in a wired or wireless mode; the light switch is used for adjusting on and off of the light supplementing lamp, and the power module is used for supplying power to electric equipment. According to the three-dimensional face scanning device, face scanning is carried out through cooperation of the three scanning modules, effective scanning effects in various environments are achieved through cooperation of multi-angle scanning and the light supplementing lamp, scanning signals are received and transmitted out through the concentrator, and imaging accuracy and attractiveness of the three-dimensional face scanning device are achieved.

The invention relates to the technical field of code scanning payment, and discloses a code scanning payment real-time monitoring system, which comprises an identification induction module, a data analysis module, a control adjustment module and a code scanning payment module, and is characterized in that the identification induction module comprises a physical sign data identification unit, a light data identification unit and a voice instruction data identification unit; the data analysis module comprises a physical sign analysis unit and a light analysis unit, the control adjustment module comprises a height adjustment unit, a light adjustment unit and a voice output recognition unit, and the control adjustment module sends a signal to the code scanning payment module after corresponding adjustment is completed. The payment state of a payer can be monitored in real time by collecting current payment feature data, the payment safety is improved to a certain extent, automatic light and height adjustment is performed according to actual conditions, the problems that too high people need to bend down during face scanning, too short people or people sitting in wheelchairs need to stand up and the like are solved, and the user experience is improved. And the convenience in the system operation process is improved.

The application relates to the field of medical instruments, and provides a brain operation path guiding system, which comprises an operation instrument, a face scanning three-dimensional camera, a positioning three-dimensional camera and a processor. The application determines a first pose conversion relationship between an operation instrument positioning code and the operation instrument, a second pose conversion relationship between the face scanning three-dimensional camera and a camera positioning code, a third pose conversion relationship between the positioning three-dimensional camera and the camera positioning code, and a fourth pose conversion relationship between the positioning three-dimensional camera and the operation instrument positioning code, carries out three-dimensional reconstruction based on an MRI image of a patient to obtain an MRI reconstruction model comprising a three-dimensional operation path, and determines a position and an angle offset between the operation instrument and the three-dimensional operation path according to the first, second, third and fourth pose conversion relationships, the MRI reconstruction model and a three-dimensional point cloud model of a patient face transmitted by the face scanning three-dimensional camera, so that the accuracy of an operation position and an operation angle is improved, and the operation risk is reduced.

The invention relates to the field of depth detection, in particular to a matching device for improving sonar sounding precision and a high-precision sonar sounding method.The matching device comprises a rod body assembly, a connecting base, a mooring rope assembly, a rod body stabilizing piece, a mounting frame and a rotating holder; the rod body assembly is arranged in a vertical state, is fixedly connected with a surveying vessel through a connecting seat and is arranged at the side part of the surveying vessel, the sonar detector is mounted at the bottom of the rod body assembly, the antenna is mounted at the top of the rod body assembly, and the angle attitude instrument is mounted at the middle-upper section position of the rod body assembly and is close to the antenna. The distance between the angle attitude instrument and the sonar detector is more convenient, and the error of sonar measurement is reduced. The stability of the sonar detector in the dynamic sailing process is guaranteed through the cable assembly, shaking caused by scouring of ocean current to the sonar detector is reduced, and the stability of sonar measurement is improved. Multi-degree-of-freedom rotation of the sonar detector is realized through the rotating holder, and a vertical face scanning function can be realized on the premise of satisfying depth measurement.

The invention discloses a cultural feature digital human generation method fusing LoRA fine tuning and cross-modal interaction, and belongs to the technical field, and the method comprises the following steps: S1, data collection and quantization parameter extraction, S2, high-precision 3D digital human model training, S3, cultural feature adaptation model fine tuning, S4, synchronous output of actions and voices, and S5, emotional interaction response driving. Through the combination of a score distillation optimization method of a skeleton condition and a high-precision 3D scanning technology, high-precision modeling of a historical figure digital human is realized, the face scanning precision reaches 0.1 mm, the body modeling error is controlled within 0.5 cm, the posture characteristics and the elegant temperament of the historical figure are precisely restored, and the method has the advantages of high modeling precision and high modeling precision. The problems of image distortion and posture deformity in traditional modeling are effectively solved, and a high-fidelity image basis is provided for cultural celebrity digital people.

The utility model relates to the technical field of terminal equipment, in particular to AI intelligent data management terminal equipment, which comprises a shell, a display, a face scanning camera and a supporting seat, the shell is arranged in the middle of the upper part of the supporting seat, the face scanning camera is arranged in the upper part of the display, and a sleeve frame is detachably arranged in the middle of the upper end surface of the supporting seat. An extension frame is slidably arranged on the inner surface of the sleeve frame and used for being matched with the sleeve frame to support the shell. Through mutual cooperation of a sleeve frame, an extension frame, a displacement part, a first magnetic plate, a traction lead screw, a synchronous belt and a second magnetic plate, the structure is simple, production and manufacturing are convenient, and meanwhile, a user can flexibly adjust the height of the face scanning camera according to the own condition; and through mutual cooperation of a suction cup, a sealing gasket, a sleeve, a U-shaped plate, a driving toothed plate, an expansion plug, a driving gear and a power-assisted rod, a worker can conveniently conduct secondary fixing on the whole device, and the possibility that the gravity center of the displayer is unstable due to height adjustment is reduced.

The utility model discloses a face recognition card sender, which belongs to the technical field of card senders, and comprises a bottom plate, a cabinet body is assembled on the upper end face of the bottom plate, a mounting shell is assembled on one side of the cabinet body, a display screen is assembled on one side of the mounting shell, a controller is arranged in the mounting shell, and a group of lifting adjusting assemblies are further assembled on one side of the cabinet body. The face recognition card issuing machine has the advantages of being suitable for workers of different heights, accurate in recognition and card issuing and capable of improving working efficiency, parts arranged in the lifting adjusting assembly are matched with one another, reciprocating rotation of the driving motor is controlled, and therefore the face recognition card issuing machine is more convenient to use. Finally, the face scanning module and the scanning camera are driven to flexibly move up and down so as to adapt to workers with different heights, the arranged face scanning module is matched with the scanning camera to accurately identify the identity, it is ensured that only authorized personnel can take the card, chaos and errors are avoided, and compared with traditional manual card issuing and an existing card issuing machine, the card issuing efficiency is greatly improved. According to the device, the working efficiency is greatly improved.

The intelligent door lock comprises a door lock front end cover, a lock cylinder and a door lock rear end cover, a U-shaped shell is arranged on the front side of the top of the door lock front end cover, a recognition camera electrically connected with a biological recognition device is arranged in the U-shaped shell, and the recognition camera is movably connected with the inner wall of the U-shaped shell; automatic angle adjustment is achieved through up-down rotation. When the face of the user is not in the scanning recognition range of the recognition camera, a microcontroller of the biological recognition device drives a small driving motor to operate, the small driving motor drives a first gear to rotate, the first gear drives a gear ring and a second connecting rotating shaft to rotate, and recognition camera shooting angle adjustment is achieved to capture and scan the face of the human body. According to the invention, automatic angle adjustment during face scanning recognition can be realized, and the system can adapt to people with different heights without manual operation, so that the recognition efficiency is effectively improved, and the time cost is saved.

The utility model discloses an automatic lifting rotary platform for face scanning, including base, a plurality of universal wheels are installed to the base bottom, the base is equipped with camera bearing mechanism, one side of camera bearing mechanism is equipped with touch -control screen, be equipped with brake mechanism on the base, camera bearing mechanism includes support frame, the inside rotatory joint of support frame has lifting screw, belong to face scanning technical field. This automatic lifting rotary platform for face scanning, through industrial camera, single lens reflex and infrared face capture camera are installed on three placing frame, then rotate clamping knob and fix with the camera, lifting motor drives electric rotary table to go up and down, so that the personnel who is collected is in the through -hole inside, and the electric rotary table drives the camera to rotate, and the face is scanned comprehensively, and compared with the artificial handheld camera scanning is more efficient, reduces the labor intensity of staff, and effectively improves data collection efficiency.

The invention provides a method, system and equipment for predicting the face change after edentulous jaw implantation, and the method comprises the steps: obtaining the face scanning data before and after edentulous jaw implantation, carrying out the key point detection, and carrying out the rigid registration, and obtaining the face data; constructing a bidirectional point cloud displacement network to establish bidirectional spatial geometric transformation from the planting front type data to the planting rear type data; and on the basis of the trained bidirectional point cloud displacement network, predicting to-be-predicted planting front profile data to obtain predicted planting rear profile data. According to the scheme, accurate and rapid prediction of the face change after edentulous jaw implantation can be realized, and use in clinical practice is facilitated.

The invention relates to the technical field of payment management, and particularly discloses a face scanning payment management method and system, and the method comprises the steps: collecting humidity sensor data, light sensor data and a face image; inputting the data of the humidity sensor, the data of the light sensor and the face image into a pre-constructed oil-water detection model, and outputting an environment mark; marking at a corresponding position of the face image according to the environment mark to obtain an original image; performing image restoration according to the original image to obtain a clear portrait; building and extracting the clear portrait to obtain a complete feature point set; and inputting the complete feature point set and the database template into a pre-constructed payment permission judgment model to obtain a living body judgment value and a similarity score. According to the method, the recognition accuracy is ensured through intelligent repair methods such as an integrated sensing technology, an image processing algorithm and a deep learning model, and the problem of water-oil interference possibly encountered in a facial recognition payment system is solved.

1. The name of the present design product: health detection graphical user interface of electronic device. 2. The use of the present design product: for an electronic device. 3. The design points of the present design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The electronic device is of conventional design, and other views of the electronic device are omitted. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: for health detection, for example, it can be applied to vehicles to detect the health of drivers or passengers. 8. The human-computer interaction mode of the graphical user interface: in design 1 front view, click the "start detection" button on the "health detection" module in the interface, the interface jumps to the interface in face scanning as shown in design 1 interface change state diagram 1; in design 1 interface change state diagram 1, align the face in the middle circular scanning frame in the interface and complete the scanning, the interface jumps to the interface in health detection as shown in design 1 interface change state diagram 2; in design 1 interface change state diagram 2, health detection is completed, the interface jumps to the interface showing the detection result as shown in design 1 interface change state diagram 3; in design 2 front view, click the "start detection" button on the "health detection" module in the interface, the interface jumps to the interface in face scanning as shown in design 2 interface change state diagram 1; in design 2 interface change state diagram 1, align the face in the middle circular scanning frame in the interface and complete the scanning, the interface jumps to the interface in health detection as shown in design 2 interface change state diagram 2; in design 2 interface change state diagram 2, health detection is completed, the interface jumps to the interface showing the detection result as shown in design 2 interface change state diagram 3; "XXX" in all interfaces of the above design 1 and design 2 represents replaceable text and / or numbers, and the gray circular color block and the gray rectangular color block represent replaceable content screens, and their actual use states can be referred to design 1 front view reference diagram, design 1 interface change state reference diagram 1, design 1 interface change state reference diagram 2, design 1 interface change state reference diagram 3, design 2 front view reference diagram, design 2 interface change state reference diagram 1, design 2 interface change state reference diagram 2, and design 2 interface change state reference diagram 3, respectively.

The utility model discloses a mining belt double-sided scanning linear array device in the technical field of mining belt detection and scanning, which comprises a positioner device, a controller and a group of scanning linear array devices, the controller is arranged on a shell of the positioner device, the group of scanning linear array devices are arranged between two supports of the positioner device, and the controller is arranged on the shell of the positioner device. The scanning linear array device comprises dust cover bodies, lighting devices, a supporting frame and a scanning linear array camera, the scanning linear array camera is installed in the dust cover bodies, the dust cover bodies and the lighting devices are installed on a shell of the supporting frame, and the two dust cover bodies and the two lighting devices face each other. The dust cover body, the lighting device and the scanning line-scan digital camera are all electrically connected with the controller, and the supporting frame is detachably installed between the two supports of the positioner device. The linear array camera is used for replacing a traditional camera, and high-resolution imaging of the surface of the belt is achieved by accurately controlling the scanning path of the linear array camera.

The invention is suitable for the technical field of intelligent retail equipment, and provides a self-service vending method, device and equipment and a readable storage medium, the method comprises the following steps: responding to an awakening operation on a voice assistant in vending equipment, and outputting first content used for inquiring a purchase demand of a user; in response to a voice receiving operation on the commodity identifier of the first commodity, second content is output, the first commodity comprises at least one of multiple commodities stored in the vending equipment, the second content is used for indicating the user to perform payment operation, and the payment operation comprises a face scanning payment operation or a fingerprint payment operation of the user; and in response to the payment operation, conveying the first commodity to a commodity taking port of the vending equipment. Therefore, the payment efficiency can be improved as much as possible, and the user-friendly shopping experience of the user is ensured.

The invention provides a face picture processing method, electronic equipment, a storage medium and a program product, and the method comprises the steps: constructing a puzzle segmentation logic and a splicing logic of a puzzle strategy through a server, and transmitting the puzzle segmentation logic to a client; and the client side segments the collected face picture into a plurality of picture blocks based on the jigsaw segmentation logic issued by the server side, and sends the face picture and the segmented picture blocks to the server side together. And the server performs anti-counterfeiting detection on the face picture by verifying whether the received picture blocks can be spliced and restored into the received face picture or not so as to verify the authenticity and validity of the face picture. According to the scheme, on the premise of not changing the face scanning interaction process of the user and not being influenced by the mobile equipment and light of the user, effective anti-counterfeiting detection is carried out on the face picture, and the authenticity and effectiveness of the face picture in a face authentication scene are guaranteed, so that the face injection attack in face authentication is effectively resisted, and the safety of face authentication is improved.

A three-dimensional face aesthetic evaluation method based on a graph neural network comprises the following steps: 1) reading original surface patch grid data obtained by three-dimensional face scanning, and performing three-dimensional key point identification on an original surface patch based on an improved face key point detection model to obtain a key point set containing three-dimensional coordinate information; 2) constructing a three-dimensional face graph structure by taking the key points as nodes, and generating node features including three-dimensional coordinates, region tags and angle features; 3) constructing a graph neural network aesthetics evaluation model, performing message passing and aggregation on node features in a graph structure, forming graph-level aesthetics representation through a region learnable weight mechanism, and finally outputting a three-dimensional face aesthetics score; the model comprises a node feature coding module, a message passing and node updating module, a region learnable weight module, a graph-level aggregation module and a regression scoring module. 4) in a training stage, optimizing model parameters by using aesthetic scoring data with labels to enable the model to stably output a scoring result consistent with an aesthetic standard, and 5) inputting a graph structure and node features into a graph neural network, and outputting a three-dimensional face aesthetic scoring result.

The utility model discloses a vehicle searching system adopting a face recognition function, which comprises a first high-definition camera, a flashing light used for lighting a license plate is arranged close to the first high-definition camera, and the flashing light is connected with the first high-definition camera through a twisted pair; a manual touch control display screen is embedded in the middle of the face scanning terminal, a video camera for achieving information registration is embedded in the front surface of the upper end of the face scanning terminal, the whole face scanning terminal serves as manual registration equipment and a car searching prompting machine, and the touch control display screen is adopted for operation. The video camera can meet the requirement that a user inputs personal basic information, the information is transmitted into the control server through the wired network equipment and the wireless network equipment, and the control server stores and records the information of a vehicle owner; the system can effectively realize intelligent management of people and vehicle information of the parking lot, reduces the vehicle searching time of the vehicle owner, and improves the vehicle taking efficiency.

The invention discloses a bank medical self-service system, method, device and medium integrated with a medical insurance face scanning function, and the system comprises a medical insurance face scanning authentication module which is used for being in butt joint with a medical insurance face scanning device to capture a user face image and carry out identity verification; the user authentication module is used for docking with a medical insurance system and carrying out user identity authentication; the business processing module is used for supporting various businesses such as filing, registration, payment, query and printing; the payment processing module is used for supporting deduction from a medical insurance account; the operation interface module is used for providing a user-friendly operation interface; the security mechanism module is used for supporting security measures such as data encryption; according to the invention, the security of user identity verification can be enhanced through a high-precision face recognition technology; the operation process is simplified, the user waiting time is reduced, and the payment efficiency is improved; seamless integration of the medical insurance face scanning equipment and the bank medical self-service machine is achieved, and various services such as filing, registration, payment, query and printing are supported.

The invention discloses a single face photo modeling technology based on nonlinear fitting, and relates to the technical field of computer vision and image processing, and the technology comprises the steps: data preprocessing, collection of large-scale high-quality three-dimensional face scanning data and parametric modeling, and storage of related models and parameters; meanwhile, two-dimensional face data are collected, multi-angle face photos are generated by means of StyleGAN, and a face texture map is regressed by means of a three-dimensional parameterized base model; and a rapid modeling stage: after a single face photo is input, features are extracted through face detection and key point positioning, a deep neural network is input to predict three-dimensional face parameters, the shape and texture of a three-dimensional face are reconstructed, detail enhancement processing is carried out, and a high-fidelity three-dimensional face model capable of being used for multiple scenes is output. The deep learning network preferably selects an encoder-regression device structure, and the training process is jointly optimized by combining perception loss and reconstruction loss. According to the method, the deep learning parameterized network is introduced, so that the modeling efficiency is remarkably improved while the face personalized features are reserved.

1. The name of the design product: attendance clocking graphical user interface for electronic devices. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the interface content of the graphical user interface displaying information. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Omit rear view, left view, right view, top view, bottom view because they do not have design points. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: the graphical user interface is used for attendance clocking. Among them, the design 1 front view is the interface of the working range clocking home page. In the design 1 front view, the user clicks the "You are working in the clocking range" button to perform face scanning and photo uploading for recognition. If the face recognition is incorrect, enter design 1 interface change state diagram 1, which displays the face recognition error interface. If the face recognition is correct, enter design 1 interface change state diagram 2, which displays the face recognition pass interface. In design 1 interface change state diagram 2, the user clicks the "Confirm photo" button to enter design 1 interface change state diagram 3, which displays the clocking success feedback interface. Design 2 front view is the interface of the working range clocking home page. In the design 2 front view, the user clicks the "You are not working in the clocking range" button to enter design 2 interface change state diagram 1, which displays the secondary confirmation of the clocking range popup window interface. In design 2 interface change state diagram 1, the user clicks the "Confirm" button to perform face scanning and photo uploading for recognition. If the face recognition is incorrect, enter design 2 interface change state diagram 2, which displays the face recognition error interface. If the face recognition is correct, enter design 2 interface change state diagram 3, which displays the face recognition pass interface. In design 2 interface change state diagram 3, the user clicks the "Confirm photo" button to enter design 2 interface change state diagram 4, which displays the clocking success feedback interface. In design 2 interface change state diagram 4, after clocking successfully, design 2 interface change state diagram 5 pops up, which displays the remote clocking application interface. Design 3 front view is the interface of the working range clocking home page. In the design 3 main view, the user clicks the "You are out of the check-in range" button, and then the face recognition is performed to upload and identify the photo. If the face recognition is incorrect, the design 3 interface change state diagram 1 is entered, and the design 3 interface change state diagram 1 displays the face recognition error interface. If the face recognition is correct, the design 3 interface change state diagram 2 is entered, and the design 3 interface change state diagram 2 displays the face recognition correct interface. In the design 3 interface change state diagram 2, the user clicks the "Confirm photo" button, enters the design 3 interface change state diagram 3, and the design 3 interface change state diagram 3 displays the check-in success feedback interface. The design 4 main view is the interface of the off-work check-in homepage out of the range. In the design 4 main view, the user clicks the "You are out of the check-in range" button, enters the design 4 interface change state diagram 1, and the design 4 interface change state diagram 1 displays the secondary confirmation out-of-range check-in pop-up window interface. In the design 4 interface change state diagram 1, the user clicks the "Confirm" button, and then the face recognition is performed to upload and identify the photo. If the face recognition is incorrect, the design 4 interface change state diagram 2 is entered, and the design 4 interface change state diagram 2 displays the face recognition error interface. If the face recognition is correct, the design 4 interface change state diagram 3 is entered, and the design 4 interface change state diagram 3 displays the face recognition correct interface. In the design 4 interface change state diagram 3, the user clicks the "Confirm photo" button, enters the design 4 interface change state diagram 4, and the design 4 interface change state diagram 4 displays the check-in success feedback interface. In the design 4 interface change state diagram 4, after the check-in is successful, the design 4 interface change state diagram 5 is popped up, and the design 4 interface change state diagram 5 displays the remote check-in application interface.

A multifunctional intelligent bus-mounted terminal device disclosed by the present invention comprises a terminal main body, a handrail and a self-selection module, the terminal main body comprises a shell, a code scanning module, a read-write module, a display screen and a face scanning module, the code scanning module, the read-write module, the display screen and the face scanning module are all installed on the shell, and the self-selection module is used for a passenger to select a get-off place by himself / herself. And the self-selection module is used for triggering a corresponding amount switching signal and sending the amount switching signal to the terminal main body, and the self-selection module comprises a controller for sending signals for triggering different get-off places to the terminal main body. The setting mode that the controller, the keys, the first displayer and the second displayer are matched is utilized, the controller is connected into the terminal body, the second displayer displays the number of passengers getting off the vehicle corresponding to each station, then passengers can conveniently select the needed getting-off station by themselves, meanwhile, the corresponding payment amount is skipped, a driver does not need to conduct manual operation, and the cost is reduced. And the operation efficiency is improved.

1. The name of the design product: face scanning and card swiping integrated machine (without rear cover). 2. The use of the design product: for face scanning and card swiping. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.