21 results about "Vision control" patented technology

A system and method to generate a target image from a reference image are provided. The system may receive, via a LDM, a reference image and a text prompt. The system may extract, via a trained vision encoder in the LDM, a vision control signal from an object in the reference image. The vision control signal indicates an identity of the object. The system may extract, via trained text encoders in the LDM, text control signals associated with the text prompt. The system may generate, via cross attention summation of an output of a vision cross attention unit(s) associated with the vision control signal and an output of text cross attention units associated with the text control signals, spatial features indicative of the reference image and the text prompt. The system may output, via a decoder in communication with the LDM, a target image based on the generated spatial features.

1. Name of the product in this design: Graphical User Interface for the Operation and Management of Medical Consumables for Electronic Devices. 2. Intended use of this design: for electronic devices; Intended use of the graphical user interface: for the operation and management of medical consumables for electronic devices. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Human-computer interaction method of graphical user interface: The graphical user interface of this product is the user interface for running the vision control system software. The main change in the main view and various state change diagrams is that the corresponding interface state change diagram is presented according to the user's current control position. The main view is the main interface view of the software; enter your account and password, click the [Login] button to enter the changed state diagram 1; click the [Medical Consumables Operation Management] button in changed state diagram 1 to enter the changed state diagram 2; click the [Date Range] button in changed state diagram 2 to enter the changed state diagram 3.

The present application relates to the technical field of deep learning machine vision control convex letter steel rolling, and relates to a convex letter steel rolling plate shape control method and system based on deep learning, which comprises the following steps: heating and descaling a blank, setting a first visual detection unit at the outlet of a heating furnace, triggering hydraulic correction when the centering deviation is greater than a first threshold value; setting a second visual detection unit at a rough rolling mill, extracting the residual area of the rolling piece surface oxide scale through an image segmentation algorithm, and detecting whether to trigger secondary descaling; setting a third visual detection unit at a medium rolling mill, adjusting the flow distribution of the cooling water of a finishing mill if the temperature distribution is uneven, and correcting the side pressure of the finishing mill vertical roll if the corner radius error exceeds a fourth threshold value; setting a fourth visual detection unit at the finishing mill, calculating the roll gap compensation amount and correcting the finishing mill reduction amount in real time when the filling rate is less than a fifth threshold value. The present application combines convex letter steel with deep learning and machine vision, and can make the quality of the manufactured convex letter steel better and the shape more accurate.

This application relates to the field of vision control technology, and in particular to a method and system for compensation and control of CNC machine tools based on industrial vision. The method includes: acquiring real-time images and the position coordinates of the CNC machine tool during the machining process; parsing the current machining instructions to reconstruct the theoretical trajectory, and then constructing an initial contour of an active contour model; performing multiple iterative evolutions on the initial contour using the active contour model until a target contour is obtained; calculating spatial compensation components based on the image deviation of the target contour relative to the initial contour; and adjusting the workpiece zero-point offset of the CNC machine tool using the spatial compensation components. The technical solution of this application can effectively improve the machining accuracy and stability of CNC machine tools in complex machining environments.

The application discloses an automatic patching machine and a working method thereof, and relates to the technical field of patching machines, which comprises a workbench, a film feeding device, a patch feeding device, a taking device, a vision system and a control system are arranged on the workbench, the film feeding device comprises a glue applying mechanism and a glue stripping mechanism, the patch feeding device comprises a feeding mechanism, a feeding mechanism and a material moving mechanism, the taking device comprises an X-axis moving module, a glue applying mechanism and a taking mechanism, the vision system comprises a camera structure, a light supplementing structure and a vision control device, and the control system comprises a control panel; the working method of the application mainly comprises the following steps: the film feeding device automatically strips glue, the patch feeding device automatically feeds, the vision system determines the position of the film, the taking device completes the work of taking glue and applying glue, the vision system detects the finished product, and the taking device places the finished product into a finished product box; the application is automatically worked by a machine, and can effectively improve the work efficiency and the yield.

This invention discloses an anesthesia injection device, its automatic control method, and a hair transplant robot, relating to the field of medical surgical equipment technology. The device includes: a fixing mechanism for mounting on a robotic arm and being driven by the robotic arm; a first feeding mechanism disposed on the fixing mechanism; an injection mechanism disposed on the first feeding mechanism, the first feeding mechanism driving the injection mechanism to move; and a vision control unit disposed on the fixing mechanism for acquiring images and controlling the movement of the first feeding mechanism and / or the robotic arm based on the acquired images, so that the injection mechanism reaches a target position. The anesthesia injection device, its automatic control method, and the hair transplant robot of this invention can automatically inject anesthetic into the scalp of a target person with low pain during injection, and the injection process is fast and efficient.

The application relates to a robot vision control method and system based on spatiotemporal context perception and belongs to the field of vision control. The method comprises the following steps: acquiring an original image sequence, performing spatiotemporal context feature coding, and outputting a spatiotemporal context feature map; mapping the spatiotemporal context feature map into an initial attention map through a lightweight convolution network, introducing an attention diffusion process to output an attention potential field; obtaining a resource allocation matrix based on the attention potential field and performing calculation power allocation; obtaining a historical attention potential field based on the attention potential field, performing attention dynamics prediction according to the historical attention potential field, and obtaining a predicted attention potential field; and realizing prospective vision control based on the attention potential field and the predicted attention potential field. Through the introduction of spatiotemporal context perception coding, gated fusion, attention diffusion, nonlinear resource allocation and the like, the intelligent level of robot vision control is comprehensively improved.

The invention discloses a camera remote real-time control system and a control method based on video monitoring, and relates to the technical field of camera control, in an image communication link, video and holder control cooperation is realized, a control symbol is embedded into a video code stream, and synchronous correction is carried out based on control and video double-link time delay estimation. The cloud platform motion and control intention is mapped into a coding structure and ROI bit distribution through visual control isomorphism, so that low-delay and high-definition transmission is still carried out in a key target area under network fluctuation, target loss and misoperation are reduced, and the monitoring disposal and evidence obtaining continuity of a chemical industrial park and an oil and gas storage tank area is improved.

The invention discloses a global self-adaptive parallel mechanical arm apple picking and follow-up collecting device and method.The device comprises a central controller, a longitudinal multi-speed lifting module, a transverse telescopic module, a parallel mechanical arm and a visual control system, and the longitudinal multi-speed lifting module, the transverse telescopic module and the parallel mechanical arm are electrically connected with the central controller; the visual control system is used for obtaining three-dimensional coordinates and depth information of fruits, and the central controller controls the longitudinal speed-multiplying lifting module to drive the picking operation platform to move to a plurality of height stations in sequence. Meanwhile, after the transverse telescopic module is controlled to transversely move the picking operation platform according to three-dimensional coordinates and depth information obtained by the visual control system at each height station, the central controller controls the parallel mechanical arm to pick the fruits, and the picked fruits are collected in a follow-up mode through the follow-up fruit collecting module. According to the device, full-area covering picking of fruits at different heights and different depth positions of tree crowns is achieved, and the environmental suitability of the device is greatly improved.

This invention provides a flexible positioning and nailing device, including a support platform, a moving assembly, a drive component, a nail gun mechanism, and a vision control system. The flexible positioning and nailing device of this invention features a support platform with an mounting plane for supporting other equipment; a moving assembly that slidably connects to the support platform; a drive component connected to the moving assembly, which moves the moving assembly in a circular trajectory to perform ring nailing; a nail gun mechanism connected to the bottom of the moving assembly, which moves horizontally on the support platform with the moving assembly to perform ring nailing; and a vision control system electrically connected to the moving assembly and drive component, which controls the drive component to move the moving assembly and nail gun mechanism to the corresponding positions for nailing. The device is simple to operate, highly efficient and precise, adaptable, and practical.

The invention relates to a mountain mobile intelligent vegetable sorting and fresh-keeping system based on AI vision, and belongs to the technical field of agricultural machinery and agricultural product postharvest treatment. The system aims at solving the problems that the sorting efficiency of vegetables in mountainous areas is low and the sorting standard adaptability is poor. According to the technical scheme, the system is characterized by comprising a pre-cooling unit for quickly cooling harvested vegetables, a sorting unit for performing automatic quality grading and flaw detection, a packaging unit for performing sealed packaging, a temporary storage unit for providing a temporary fresh-keeping storage environment, a moving platform for supporting and moving the units and an AI visual control system. According to the system, field immediate processing is achieved through mobile integrated design, images are collected through a visual detection channel integrating a high-definition camera and a spectral imager, the image processing process is executed through an embedded processor, a sorting model is updated regularly in combination with a continuous learning module, and therefore the sorting precision and the localized adaptive capacity are improved, and the sorting efficiency is improved. The device is mainly used for on-site sorting and fresh-keeping operation in mountain vegetable producing areas.

The present application relates to the technical field of pipeline code reading and conveying, and particularly relates to a pipeline code reading and conveying device based on multi-vision sensing cooperation, which comprises a pipeline conveying assembly, a control cabinet and a suspension support, the pipeline conveying assembly is installed on one side of the control cabinet, four groups of optical code scanning vision control assemblies are installed on one end of the upper side of the pipeline conveying assembly, a horizontal moving assembly is installed on the side of the pipeline conveying assembly away from the control cabinet, a material clamping assembly capable of clamping materials is arranged on the upper side of the pipeline conveying assembly, and a telescopic assembly capable of telescoping is arranged on the side of the material clamping assembly close to the horizontal moving assembly. The present application can control the material to rotate half a circle through the turnover assembly, so that the clamped material is turned over half a circle, the barcode of the material faces upward, the turned-over material is placed on the upper side of the pipeline conveying assembly again, and the pipeline conveying assembly re-conveys the turned-over material to the lower side of the optical code scanning vision control assembly for code scanning.

This disclosure relates to object detection in a vehicle's surrounding environment under low-light conditions. Specifically, it relates to a method executed by a vision control system for supporting object detection in a low-light environment surrounding a moving vehicle, using at least one vehicle-mounted rearward and / or lateral image acquisition device. The vision control system acquires images of the surrounding environment located behind and / or to the sides of the moving vehicle, supported by at least one first image acquisition device. The vision control system further determines the lighting conditions in the surrounding environment. Furthermore, when the lighting conditions meet an insufficient lighting criterion, the vision control system provides light output illuminating a ground area of ​​the surrounding environment, supported by at least one first light source, to facilitate object detection via the at least one first image acquisition device. This disclosure also relates to a vision control system according to the foregoing, a vehicle including such a vision control system, and a corresponding computer program product and a non-volatile computer-readable storage medium.

This invention discloses a multi-axis clamping harvester for multi-terrain intercropping and relay cropping of underground root and tuber crops, relating to the field of agricultural machinery technology. A main harvesting mechanism is located in the center of the walking platform, with auxiliary harvesting mechanisms symmetrically arranged on both sides. A row adjustment module is fixed to the walking platform, and its output end is connected to two first frames, which are connected by a first hydraulic rod. A first clamping conveyor belt is located on the side of each of the two first frames that are close to each other. A cherry-gathering and soil-loosening module is located at the lower end of each first frame, and a cherry-cutting module is located at the higher end. The walking platform also includes a collection module, a sowing mechanism, and a vision control module. The multi-axis clamping harvester for multi-terrain intercropping and relay cropping of underground root and tuber crops proposed in this invention has multi-degree-of-freedom adjustment capabilities, adaptive clamping force control capabilities, and can adapt to crops of different shapes and arrangements, achieving precise, low-loss, and efficient harvesting of crops.

The invention relates to the technical field of industrial vision control, and provides a quantitative discharging control method and system based on industrial vision, and the method comprises the steps: obtaining a first image of a conveying belt collected by an industrial camera lens at a first moment and a second image of the conveying belt collected by the industrial camera lens at a second moment; the first moment is the moment when the conveying belt is in the recent no-load state, and the conveying belt loads materials fed in the current batch at the second moment; adjusting a parameter value of a target parameter in a material identification algorithm according to the first image to obtain an adjusted parameter value of the target parameter; based on the adjusted parameter value of the target parameter and a material identification algorithm, determining a target putting amount of the material in the second image; and determining the calculated putting amount of the next batch of materials according to the target putting amount. And the accuracy of quantitative discharging control can be improved.

1. Name of the product in this design: Vision control camera for swimming pool robot. 2. Purpose of this product design: To be installed above a swimming pool (home outdoor camera installation method) to provide a full view of the pool environment and the operation of the robot in the pool. With a built-in artificial intelligence chip, it can identify the pool environment and robot status in real time, send control commands to the pool robot, and connect to the network in real time to interact with the server with the acquired information. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

Embodiments of the application disclose a vision control method and device based on an agricultural robot and an electronic device, and relate to the technical field of agricultural robots. The method applies the agricultural robot to an agricultural work area, positions a fruit area based on a vision image, and determines a fruit variety in the fruit area, so as to trigger replacement of a gripper of the agricultural robot according to the fruit variety, detect the adaptation of the gripper of the agricultural robot to the fruit, and determine a gripping plan based on the multiple fruits in the vision image and the positioning of the fruits. The gripping plan is used to regulate a moving track of the gripper of the agricultural robot, and the gripper is synchronously regulated to avoid obstacles, thereby improving the safety of gripping the fruits by the agricultural robot. In addition, when the gripper grips the fruits, the positions of other fruits in the current environment are synchronously monitored, a falling state is determined based on the offset track of the other fruits, the safety of gripping the fruits by the agricultural robot is further ensured, and the other fruits in the falling state can be timely controlled to realize preferential gripping.

The application discloses a kind of uncalibrated visual servo method, system, equipment and medium for six degrees of freedom mechanical arm, belong to visual servo technical field, including: the image frame before and after the movement of mechanical arm is acquired, feature point coordinates are extracted based on the image frame before and after movement;Determine initial image Jacobian matrix according to feature point coordinates;The initial image Jacobian matrix is updated, and current image Jacobian matrix is obtained;By comparing target image desired position with current observation position, image feature error is obtained, image feature error and current image Jacobian matrix are combined to calculate, and control increment is obtained;Control increment is converted into six degrees of freedom motion command, and position adjustment is carried out based on six degrees of freedom motion command control mechanical arm;Image frame of the current position of mechanical arm is acquired, feature point is extracted based on the image frame of current position and image feature error is updated.The application realizes high-precision, fast response, dynamic vision control of calibration-free.

The utility model belongs to the field of myopia glasses, and particularly relates to a red light vision control lens and glasses thereof. The technology comprises a lens, an optical function area is arranged on the lens along the center, an out-of-focus lens area is arranged on the lens on the outer side of the optical function area, the out-of-focus lens area is composed of a plurality of concave lenses, and red light transmission coatings are arranged on the outer sides of the lens in the out-of-focus concave lens area. According to the design, the double effects of vision correction and myopia prevention and control are conveniently achieved, an optical focus falls at the position far away from the retina and outside an eyeball adjusting area through the defocusing effect of the concave lens, light falling on the retina is a virtual image, and therefore the problem that the axis of the eye is forcibly increased is solved; and finally, part of light is filtered through the arrangement of the red light penetrating through the plating layer, the ratio of the red light reaching the fundus retina light is increased, as part of light of other wavebands is filtered out, the light in the defocus area is dark, the glasses are forced to see objects through the correction area, and the better vision correction effect is achieved.

The invention provides a channel matching method based on an industrial visual control system, and the method comprises the steps: an industrial host issues a triggering instruction corresponding to a current matching mode and aiming at a corresponding triggering channel to a triggering controller in the matching process of each triggering channel; the trigger controller responds to the received trigger instruction and sends a trigger pulse signal through a trigger channel indicated by the trigger instruction; the industrial camera performs exposure in response to the received trigger pulse signal, generates camera feedback data corresponding to the current matching mode and sends the camera feedback data to the industrial host; and the industrial host establishes a matching relationship between the corresponding triggering channel and the corresponding industrial camera in the matching process according to the camera feedback data received in the matching process and the corresponding matching relationship establishment mode in the current matching mode. By providing automatic matching between the industrial camera and the trigger channel, the system deployment efficiency and accuracy are greatly improved, and human errors are reduced.

The invention relates to the technical field of industrial robot visual control, and discloses a method and a system for comprehensively judging poses and screw quality before and after an industrial product fastening process. The problems that in the prior art, detection processes before and after the fastening process are split, pose judgment robustness is insufficient, abnormity processing lacks priority, small sample adaptability is poor, and quality tracing visualization is weak are solved. According to the method, when a product is in a procedure before fastening, fixture mark points and product screw holes are positioned through a template detection model, the reference geometrical relationship between the mark points and the screw holes is stored, overall offset measurement is constructed through line segment distance changes from the screw holes to the mark points during operation, and the product grabability is judged by adopting a double-threshold strategy; when the product is in a post-fastening process, generating a screw region cutting block for the target screw hole, and performing quality classification by using the screw classification model; and at the end of each period, writing the key data into an asynchronous governance queue for subsequent statistical analysis and incremental learning.