43 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.

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 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 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 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.

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 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.

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.

1. The name of the design product: smart line cabinet graphical user interface (two) for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: for human-computer interaction and implementation of the functions of the electronic device, and can be used to control the smart line cabinet to complete the operations of suture management, line replenishment, etc. 7. The human-computer interaction mode of the graphical user interface: design 1 front view is the smart line cabinet control panel main interface, clicking the "log out" button in design 1 front view enters design 1 change state diagram 1, in which view the login of one's own account can be input, or the login can be made by face scanning, card swiping or fingerprint, etc.; logging in the administrator account in design 1 change state diagram 1 enters design 1 change state diagram 2; clicking the "suture data" icon in design 1 change state diagram 2 enters design 1 change state diagram 3, in which view the wire data can be maintained; design 2 front view is the smart line cabinet control panel main interface, clicking the "log out" button in design 2 front view enters design 2 change state diagram 1, logging in the administrator account in design 2 change state diagram 1 enters design 2 change state diagram 2, clicking the "line replenishment order" icon in design 2 change state diagram 2 enters design 2 change state diagram 3, in which view the line cabinet can be operated for the operation of replenishing the line stock.

The application discloses a kind of arm strength training equipment for sports, belong to sports training equipment technical field.The equipment includes arm strength training mechanism, face scanning mechanism, leg hooking mechanism and arm strength switching mechanism, arm strength training mechanism provides support and power base for whole, arm strength switching mechanism realizes the accurate switching of push / pull training mode by motor drive gear rack transmission, leg hooking mechanism can be adjusted, adapt to different users to realize the reliable fixation of leg, face scanning mechanism is built-in with the creative face scanning identification system, face image is collected by camera and is analyzed by multi-module algorithm to realize fatigue grade determination and grading early warning.The application realizes arm strength mode one-key switching, leg self-adapting fixation, face fatigue accurate monitoring and equipment reset intelligent prompting, structure is stable, operation is convenient, training safety and adaptability are greatly improved, suitable for various sports fitness, arm strength training scene.

The present application relates to field device, especially to a kind of face recognition authentication device for field case generation.The purpose of the present application is to provide a kind of face recognition for personnel, which can overcome the environment and carry out face scanning, face recognition authentication device for field case generation.The technical scheme of the present application is: including handle, the lower side of the handle is fixedly connected with plug-in line pipe, the front side of the handle is equipped with switch group, and the bottom of the handle is connected with screw cap.The present application can be placed independently and held by one hand by adopting the mode that battery is installed in handle, which is convenient to carry and operate, and handle, scanning mechanism and its accessories and control mechanism are not installed information storage and processing module, only as scanning tool for collecting face data, so data leakage caused by loss is avoided, and data security is guaranteed.

The invention provides a face scanning model head completion method, a three-dimensional scanning device and electronic equipment. The method comprises the following steps: acquiring a key feature point set of a face scanning model and a basic head model; registering the face scanning model and the basic head model based on the key feature point set to obtain a registered head model; extracting a face region in the face scanning model to obtain a to-be-stitched face model; the registered head model is deformed, so that the face area of the registered head model is aligned with the to-be-stitched face model, and a deformed head model is obtained; and stitching the to-be-stitched face model and the deformed head model to obtain a complemented full-head model. According to the method, the face area of the face scanning model is segmented firstly, then the basic head model is deformed and sewn with the face area of the face scanning model, quasi-seamless connection of the basic head model and the face scanning model is achieved, the fidelity of an original scanning model is improved, and user experience is improved.

The invention discloses a surface defect detection device and method for a cylindrical component, and the device comprises a supporting structure which is used for supporting a to-be-detected cylindrical component; the output end of the driving mechanism is connected with the butt joint section of the cylindrical component, and the driving mechanism is used for driving the cylindrical component to rotate around the central axis of the cylindrical component; the first image acquisition unit comprises a surface scanning camera and an annular light source, the optical axis of the surface scanning camera and the central axis of the annular light source are coaxially arranged, and the optical axis of the surface scanning camera and the middle axis of the cylindrical component are parallel and arranged at an interval; the second image acquisition unit comprises a line scanning camera and a line light source, and the line scanning camera and the line light source are arranged towards the circumferential surface of the cylindrical component; the two first image acquisition units are used for acquiring images of the two end faces of the main body section correspondingly, and the second image acquisition unit is used for acquiring images of the circumferential face of the cylindrical component. The detection efficiency and the detection precision can be improved, and the detection cost can be reduced.

The application discloses a kind of face scanning structured light point cloud data post-processing method, device and equipment, it is related to three-dimensional vision measurement and point cloud data processing technical field, the method includes obtaining the multiple frame point cloud data of target measurement object and each frame point cloud data obtained is carried out outlier processing, multiple frame point cloud data after outlier processing is converted to the same coordinate system;Fusion is converted to the same coordinate system under multiple frame point cloud data, obtain after fusion point cloud data;Normal vector estimation is carried out to after fusion point cloud data, geometric feature identification, and noise reduction processing and sampling optimization, complete the post-processing of point cloud data.The application can effectively improve the processing efficiency of face scanning structured light point cloud data.

The invention discloses a manufacturing method of a high-elasticity hydrogel facial front traction appliance based on facial scanning and 3D printing, and relates to the technical field of manufacturing of high-elasticity hydrogel facial front traction appliances, and the manufacturing method comprises the following steps: performing three-dimensional scanning on forehead and jaw areas of a patient to obtain facial three-dimensional data reflecting an individual facial contour; constructing a digital face model based on the face three-dimensional data, and determining a fitting area of a forehead support and a chin support on the model; an appliance structure is designed according to the fitting area, the structure comprises a rigid supporting framework and concave cavities corresponding to the forehead support and the chin support respectively, and the shape of the inner surface of each concave cavity is consistent with that of the fitting area; carrying out 3D printing on the appliance structure by adopting a medical-grade polymer material to prepare a rigid framework with the concave cavity; the concave cavity of the rigid framework is filled with a high-elasticity hydrogel material, and a buffer layer making contact with facial soft tissue is formed.

1. The name of the design product: face scanning and card swiping integrated machine (with 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.

The utility model discloses an access control device with face recognition equipment, which comprises a gate and a recognition instrument, and relates to the field of face recognition access control devices. Through the arrangement of the through groove, the first sliding groove, the second sliding groove, the third sliding groove, the through hole, the connecting plate and the limiting block, when the identification instrument needs to be adjusted upwards, the fixing block is pushed upwards to enable the connecting plate to slide upwards, then the identification instrument slides upwards, the sliding block passes through the limiting block in the sliding process, and when the identification instrument is adjusted to a proper position, the sliding block is pushed upwards to move upwards. When the recognition instrument needs to be adjusted downwards, the corresponding movable rod slides upwards to enable the end of the limiting block to move upwards, so that the sliding block is extruded out of the upper portion of the limiting block, limiting of the limiting block is relieved, and then the recognition instrument can be adjusted downwards. And the identification instrument is adjusted to a proper position through the fixing block.

The utility model relates to the technical field of surveying and mapping file informatization, in particular to a surveying and mapping file informatization scanning device which comprises a base, a mounting frame is fixedly connected to the upper surface of the base, and two high-speed shooting instruments are installed on the upper surface and the lower surface of the inner wall of the mounting frame respectively. A placement plate is rotatably connected to the left side face of the inner wall of the mounting frame, a power box a is mounted on the left side face of the mounting frame, surveying and mapping files needing informatization scanning are stacked and placed in the placement box, a servo motor b drives a worm b and a worm gear b to rotate, and the worm gear b rotates to drive a connecting column, an adjusting frame and a vacuum suction cup to conduct angle adjustment. The air cylinder drives the vacuum suction cup to move downwards, surveying and mapping files are adsorbed through the vacuum suction cup, the orientation adjusting assembly conducts angle adjustment on the vacuum suction cup and the surveying and mapping files, the surveying and mapping files are placed on the upper surface of the placing plate, double-face scanning is conducted on the surveying and mapping files, and the problems that according to an existing device, the workload of operators is large, and the needed waiting time is long are solved.

The invention discloses a blade defect detection method and device, and the method comprises the steps: S1, scanning the surface of a blade through a line laser three-dimensional contourgraph, obtaining the three-dimensional shape data of the surface of the blade, and recognizing the defects of a blade surface; s2, according to the three-dimensional shape data of the blade surface, generating a blade contour scanning path and a blade surface scanning path containing depth information of each view field; s3, based on the knife face scanning path, scanning the surface of the blade in a view-by-view manner, automatically focusing each view field to an optimal imaging position, obtaining a knife face microscopic image, and identifying a knife face defect; s4, based on a blade contour scanning path, driving a lens to walk along the blade contour in a full-circumference manner, turning a light path through a reflector group rotating around the lens, then obtaining an edge microscopic image by a camera, and identifying edge defects; and S5, generating a blade defect detection report, and storing a detection result. According to the invention, full-automatic detection of all defects of the tool face and the edge can be completed, and the problem of low efficiency of traditional step-by-step manual detection is solved.

The embodiment of the present application provides a kind of selection method and selection system of mask, electronic equipment, computer program product, belong to medical instrument field.The selection method includes: according to the result of user's questionnaire, one or more mask types of first user preference are selected;According to the subjective questionnaire result, the first score of each specification mask corresponding to each model under each mask type of the first user preference is obtained by scoring each specification mask corresponding to each model under each mask type of the first user preference;According to the face scanning data of user and the preset score of the face data of the mask of the first user preference, the second score of each specification mask of second user preference is obtained;And, according to the first score and the second score, the mask of target specification corresponding to target model under target mask type is determined.The technical scheme of the present application realizes more accurate mask recommendation, and can effectively improve the satisfaction of user.

1. The name of the design product: face scanning condition association all-in-one machine. 2. The use of the design product: for tobacco packaging workshop, taking pictures of the two-dimensional code of the carton of cigarettes and associating it with the two-dimensional code of the carton of cigarettes. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.