9results about How to "Guarantee collection quality" patented technology

The invention discloses a frame rate control method, which belongs to the field of image acquisition, and comprises the step of adjusting the frame rate of a next frame image according to the motion state, speed and pixel change rate of a current frame image relative to a previous frame image. The motion state comprises integral movement and non-integral movement; firstly, whether overall movement occurs is judged; when the movement is overall movement, determining the initial frame rate of the next frame of image according to the speed of the current frame of image, and then determining the final frame rate of the next frame of image according to the pixel change rate of the current frame of image relative to the previous frame of image and the initial frame rate of the next frame of image; and if not, determining the final frame rate of the next frame of image directly according to the pixel change rate of the current frame of image relative to the previous frame of image. According to the method, the frame rate of the next frame of image can be dynamically adjusted only through simple calculation and judgment, good adaptability is achieved for a dynamic scene, and the collection quality of the next frame of image can be ensured so that back-end processing can be facilitated.

The utility model provides a kind of copper foil detection device of raw foil machine, including roof, the both sides of the one end of roof are uniformly provided with the mounting plate extending outward, and the bottom of roof is equidistantly provided with three sliding grooves, and the bottom of the movable plate between two mounting plates is equipped with laser marking assembly. Compared with prior art, the utility model has the beneficial effects as follows: detection, shading, marking three major modules closely cooperate, form the integrated closed-loop process of "detection-shading-marking", shading component real-time isolation external interference, CCD detection component fast scanning, laser marking assembly instant marking, when the second lead screw rotates, drive both sides first nut to drive shading component synchronous movement, when copper foil width changes, shading component can quickly adjust coverage, further refine shading area, continue to isolate external light interference in the process of copper foil operation, provide stable optical environment for CCD detection, guarantee image acquisition quality.

The application discloses a kind of oil pipe thread detection methods, comprising the following steps: S1, the pre-treatment and surface cleaning of the workpiece to be detected are carried out to clean the detected area;S2, based on the type, material, structure size and detection surface of the workpiece to be detected, determine the theoretical phased array ultrasonic detection process;S3, provide contrast test block, the theoretical phased array ultrasonic detection process is verified on the contrast test block and run, select the optimal as actual detection process;S4, according to actual detection process, scanning is carried out, to collect three-dimensional image data, the effectiveness of the collected data is evaluated;S5, three-dimensional image data are analyzed using computer-aided evaluation software, and detection conclusion is given.The application provides a kind of based on the phased array ultrasonic tubular workpiece thread connection part detection method, solves the technical problems that the existing technology is complicated, inefficient, and difficult to interpret results in the detection operation of the thread connection part of the tubular workpiece.

The application discloses an intelligent warehouse automation control optimization method and system based on dynamic environment perception, and relates to the technical field of intelligent warehouse control. The method first acquires the specific scene type of a specified warehouse, determines the corresponding dynamic perception allocation scheme through scene matching, and then determines the collaborative work associated object to realize the accurate adaptation of dynamic environment perception and the warehouse scene. Then, the dynamic environment perception data of the warehouse area where the collaborative work associated object is located is collected, and after collaborative association processing, a structured fusion data set suitable for different timing scenes is generated. Dynamic warehouse parameter calibration is performed to generate an initial control strategy and complete effectiveness evaluation. According to the evaluation result, it is decided whether to dynamically adjust the path planning scheme and the work execution sequence, realizing the dynamic adaptation and accurate regulation and control of intelligent warehouse automation control, and effectively improving the adaptability of warehouse control, the smoothness of process operation and the stability of work execution in complex dynamic scenes.

The invention discloses an electromechanical product operation state monitoring system based on computer vision, and relates to the technical field of neural network monitoring, and the system comprises an image collection module which is composed of a distributed high-definition industrial camera and a collection card, and is used for synchronously obtaining a high-definition image of a part; the image preprocessing module outputs a standardized image through filtering, enhancement, segmentation and other algorithms; the feature extraction module fuses static and dynamic features based on CNN and LSTM architecture to generate a high-dimensional vector; the neural network analysis module loads a pre-training model to identify the operation state and the fault type; the running state evaluation module quantifies the health degree and divides the health degree into four stages of states; the intelligent early warning module triggers multi-channel early warning according to grades; the data storage module adopts a distributed architecture for classified storage; the remote monitoring module constructs a visual platform to support remote configuration and interaction. According to the invention, the multi-modal data and the neural network are fused, the fault identification is accurate, and the response is real-time; the method has environment self-adaption and model self-optimization capabilities, and supports preventive maintenance.

The invention relates to the technical field of spectral data acquisition, and provides a three-dimensional mural multispectral data acquisition method and device, and the method comprises the steps: building a mural acquisition range in a plane-coordinate system according to the actual boundary of a mural; according to the collection range of the mural, dense point cloud data of the mural is obtained through scanning; obtaining a two-dimensional depth map of the mural according to the dense point cloud data and the collection range of the mural; according to the two-dimensional depth map of the mural, segmenting the surface of the mural into a plurality of quasi-plane areas by adopting a clustering algorithm; planning an acquisition path and acquisition parameters according to the plurality of quasi-plane areas obtained by segmentation; according to the acquisition paths and the acquisition parameters, respectively acquiring multispectral data of the murals in the corresponding quasi-plane areas, and recording position information when the multispectral data are acquired; and according to the position information when the multispectral data is acquired, splicing the acquired multispectral data of the mural to obtain complete multispectral data of the mural. The preset active focusing is realized, and the acquisition efficiency is improved.

The application belongs to the technical field of rainwater treatment, and particularly relates to a landscape bridge rainwater collection and purification treatment device based on multi-stage filtration, which comprises a primary filtration mechanism, a secondary filtration mechanism, a buffer mechanism and a water collecting tank, the buffer mechanism is installed in the water collecting tank, the primary filtration mechanism is arranged at the top of the water collecting tank and is connected with the buffer mechanism, the secondary filtration mechanism is arranged on the buffer mechanism, a dredging mechanism is further arranged in the water collecting tank, a water storage element is arranged on the outside of the water collecting tank, and a drainage mechanism is arranged in the water storage element. The primary filtration mechanism and the secondary filtration mechanism can filter rainwater for multiple times, so that the efficiency and quality of rainwater filtration are ensured. When leaves and large impurities in the rainwater block the top of the primary filtration mechanism, rainwater can still be collected into the water collecting tank through the cooperation of the water collecting tank and the primary filtration mechanism, so that the treatment efficiency and quality of rainwater are improved.

The application discloses a MESH self-organizing network-based image quality enhancement method and system, and relates to the technical field of self-organizing network image processing. The MESH self-organizing network-based image quality enhancement method comprises the following steps: node data acquisition delay error evaluation; signal collision delay error evaluation; and link breakage delay error evaluation. Whether to perform detection node optimization is determined according to the data acquisition delay error result, whether to perform route signal transmission power fraction optimization is determined according to signal collision data for signal delay error evaluation, and whether to perform link gain optimization is determined according to link breakage data for link delay error evaluation, so that the accuracy of real-time passenger flow image analysis at a smart city traffic intersection is improved, and the problem that the accuracy of real-time passenger flow image analysis at a smart city traffic intersection is not high due to the delay of MESH self-organizing network route switching caused by node image data in the multi-hop transmission process in the prior art is solved.

The utility model relates to the technical field of detection, and discloses an on-line detection device for metal heat treatment, which comprises a base, the upper side of the base is fixedly provided with a heat insulation cylinder, a fan and a driving assembly respectively through a support frame, the heat insulation cylinder is a hollow cylinder made of transparent materials, and the circumferential side of the heat insulation cylinder is fixedly provided with a fixed ring; a movable ring is rotatably mounted at the right end of the fixed ring, an industrial camera is fixedly mounted at the right end of the movable ring, the camera shooting end of the industrial camera faces the axis of the heat insulation barrel, a rack section is fixedly mounted on the circumferential side of the movable ring, the driving assembly and the rack section are assembled in a meshed mode, and the output end of the draught fan and the heat insulation barrel are assembled in a communicated mode through a conveying pipe. According to the utility model, the image acquisition direction of the industrial camera can be adjusted, so that the defect condition of metal can be detected at the optimal position; and a heat insulation layer can be formed between the high-temperature metal part and the industrial camera, and heat is continuously taken away by flowing air, so that the adverse effect of high temperature on the industrial camera is further reduced.