16results about How to "Avoid false detection" patented technology

The application discloses a cable surface sheath image preprocessing method, device and equipment and a medium, and relates to the technical field of image processing. The method comprises the following steps: collecting a cable surface sheath image and dividing the image into multiple regions; calculating the average gray value and standard deviation of all pixels in each region, and determining a deviation range based on the 3σ criterion; determining pixels with a gray deviation not within the deviation range as abnormal pixels; determining whether there are other abnormal pixels in the eight-neighbor domain of each abnormal pixel, filtering the abnormal pixel if there are no other abnormal pixels, and constructing a connected domain composed of abnormal pixels if there are other abnormal pixels; filtering connected domains with an area less than a threshold value, and retaining connected domains with an area greater than or equal to the threshold value, to obtain a preprocessed image. Through local adaptive statistics, connected domain analysis and selective processing based on the area, the application overcomes uneven illumination and reflection interference caused by a cable curved surface, and helps to reduce the false positive rate and the missed detection rate of subsequent defect detection.

This application discloses a display device, comprising a display panel and a driving module. The driving module is connected to the display panel and is configured to drive the display panel in a first driving mode when it detects that the grayscale to be displayed on the display panel is less than or equal to a first preset grayscale. In the first driving mode, when the driving module detects that the grayscale to be displayed is greater than a second preset grayscale, it switches the first driving mode to a second driving mode, where the second preset grayscale is greater than the first preset grayscale. This application can reduce false detections caused by grayscale fluctuations and avoid display problems such as screen flickering.

The utility model belongs to the technical field of detection equipment provides a kind of vice instrument panel detection tool, vice instrument panel is provided with peg, peg is made of metal material, vice instrument panel detection tool includes: pedestal;Positioning seat, it is set in the top of pedestal, positioning seat is provided with the detection through-hole compatible with for vice instrument panel, and positioning seat and pedestal between there is installation space;Compression assembly, it is set in pedestal, compression assembly has the compression operating mode and loosening operating mode that can be switched to each other;Wherein, when compression assembly is in compression operating mode, compression assembly compresses vice instrument panel;When compression assembly is in loosening operating mode, compression assembly loosens vice instrument panel;Detection component, it is set in pedestal, and detection component is used to detect the peg on target vice instrument panel.The vice instrument panel detection tool provided by the utility model is simple in structure, can automatically detect the peg on vice instrument panel, and is higher in efficiency.

The application discloses a kind of vision-based industrial robot intelligent discharging device, system and method, first discharging line is arranged in the discharge end of the transmission unit, including conveying unit, separating mechanism, visual detection mechanism and pushing mechanism;Conveying unit is arranged in the discharge end of the transmission unit, for conveying material;Separating mechanism is arranged in the first half of the conveying unit, for separating multiple materials;Visual detection mechanism is arranged in the middle section of the conveying unit;Pushing mechanism is arranged in the tail end of the conveying unit, for pushing out the material that detection is not up to standard.The present application avoids missing detection and wrong detection, makes the detection result more accurate, improves product quality consistency, greatly improves detection and discharging efficiency, avoids channel blockage and jam caused by mixed conveying of different height materials, ensures smooth conveying, avoids fatigue error caused by long-time operation, has the beneficial effects of low manufacturing cost, simple operation and not easy to damage, etc.

The application discloses an unmanned aerial vehicle reconnaissance video image target automatic detection method, and belongs to the technical field of unmanned aerial vehicle image processing. The method comprises the following steps: preprocessing and frame extraction are performed on an unmanned aerial vehicle reconnaissance video image, a video frame sequence is constructed, multi-scale feature extraction is performed on the video frame sequence, multi-scale features extracted based on semantic guidance are fused, a time sequence memory model is constructed, the multi-scale features are corrected and enhanced in a time sequence context, a weak and small target detection branch is generated based on multi-dimensional feature perception, the multi-scale features corrected and enhanced are detected in the weak and small target detection branch, and a detection result is output. Through grouping convolution, the method can efficiently fuse, guarantees the calculation efficiency, and enhances the contour perception ability for fuzzy weak and small targets.

The utility model relates to a pull ring detection technical field, concretely relates to a pull ring detection device. The pull ring detection device, include: conveying assembly, conveying assembly is used for conveying jar body, detection assembly, detection assembly sets up on conveying assembly, detection assembly includes image acquisition structure, image acquisition structure has the end with pull ring to jar body orientation, to make image acquisition structure obtain jar body pull ring's image, control system, control system has controller and man -machine interface, controller is connected with image acquisition structure, man -machine interface and conveying assembly signal respectively. Through setting up image acquisition structure and control system, the image that controller can gather through image acquisition structure judges whether the pull ring of jar body that passes through image acquisition structure on conveying assembly has the defect, detects through the controller, effectively has improved the detection efficiency, has reduced the labor intensity.

The utility model discloses a kind of electric energy meter pulse lamp and tripping lamp machine detection equipment, including conveying line, table drag device, optical signal acquisition device, screen turning key pressing mechanism, positioning mechanism and defective product rejection mechanism.Equipment realizes the full-automatic detection of pulse lamp and tripping lamp by automation process, including power-on tripping lamp detection, pull-in and pull-out command verification and pulse lamp flicker detection, solve the problem of low efficiency of artificial detection, high risk of missed detection and misdiagnosis, realize unmanned operation.

The present disclosure relates to processing cell images in a convolutional neural network with contextual data. The present disclosure relates to image processing in machine learning convolutional neural networks. The technology can improve the accuracy and reliability of applications using machine learning convolutional neural networks, particularly in the field of cell microscopy. Contextual data is provided which indicates cell features determined globally for a scene, and this data is then taken into account in the inference of the machine learning convolutional neural network.

This application discloses a method and system for inspecting the surface quality of electroplated finished products. The method includes acquiring information about the electroplated finished product to be tested, including product attribute information and actual electroplating process parameters; determining image acquisition parameters based on the product attribute information and actual electroplating process parameters through a preset parameter mapping table; acquiring an image of the electroplated finished product based on the image acquisition parameters; extracting multi-dimensional optical features from the electroplated finished product surface image; fusing the actual electroplating process parameters with the multi-dimensional optical features to generate process-aware fusion features; and obtaining the surface quality inspection result of the electroplated finished product based on the process-aware fusion features through a preset defect detection model. This application effectively improves the accuracy of electroplated surface quality inspection by using adaptive imaging and fusing electroplating process information.

This invention discloses a machine vision-based method for detecting blockages in coal preparation plant screening tanks, belonging to the field of industrial automation detection technology. The method includes: acquiring continuous video frames; the user defining an irregular polygonal monitoring area and generating a mask; dividing the video frames into equally spaced blocks; performing normalized correlation template matching on each block within the monitoring area using adjacent frames, recording the positional deviation; marking blocks with deviations close to 0 in multiple consecutive frames as continuously stationary blocks; and determining blockage and triggering an alarm when the number of stationary blocks is greater than a threshold. This invention improves robustness to changes in illumination by utilizing normalized correlation matching, effectively filters out instantaneous misjudgments through continuous frame stationary detection and an accumulator mechanism, and solves the problem of water flow interference by combining edge detection preprocessing, thus achieving automatic and accurate detection of blockages in coal preparation plant screening tanks and ensuring production safety.

This utility model discloses a bottled medicine inspection machine, belonging to the field of light inspection machines. It includes a power base, an arranging body, an assembly frame, and light inspection equipment. The arranging body includes a bottle-holding ring, an arranging disc, a drive shaft, a lifting linkage, a first telescopic rod, a rotating disc, a second telescopic rod, a transmission assembly ring, a lifting guide plate, gears, a limiting structure, a tooth groove, an elastic element, a sliding ball assembly seat, and a sliding ball. By providing a rotating disc on the bottle-holding ring that rotates with the arranging disc, the bottled medicine is also driven to rotate by the rotating disc during inspection. At the same time, the rotation of the bottle-holding ring also drives the lifting linkage to rotate synchronously. The rotation of the lifting linkage drives the bottle-holding ring to rise and fall with the concave and convex structure of the lifting guide plate, thereby causing the bottled medicine on the bottle-holding ring to rise and fall as well. This allows for the inspection of all sides of bottled medicines at different heights, increasing the accuracy of the inspection. Moreover, the rotation and lifting do not require additional power or wiring, reducing the inconvenience of wiring and subsequent maintenance.

The invention provides a carton printing defect visual identification device, which relates to the technical field of image data processing, and comprises an outer box body, a conveying component and a visual detection component, an image acquisition module is arranged in the visual detection component, an encoder is arranged in the conveying positioning unit, and the encoder is linked with a driving mechanism of the conveying component and a trigger signal of the industrial linear array camera, so that the conveying speed of the conveying component, the conveying position of the carton and image acquisition are synchronized; a three-level image processing flow is executed through the algorithm processing module, interference such as corrugated paper textures is eliminated through self-adaptive median filtering, multiple defects such as overprinting deviation and through printing can be accurately recognized and graded in combination with multi-dimensional feature extraction and a support vector machine classification model, and the accuracy and the accuracy of detection are improved. The industrial pain points that in the prior art, the image processing flow is simple, the targeted interference filtering capacity is lacked, various defect types and grades cannot be accurately distinguished, and the overall intelligent level and collaboration are insufficient are solved.

This utility model relates to the field of inspection fixture technology, specifically to an inspection fixture for reinforcing steel sheet misalignment. It includes a base and a support plate on the base. A placement groove is provided in the middle of the support plate. The fixture also includes a negative pressure generator located at the lower end of the support plate, with its adsorption end extending into the placement groove. The placement groove in the middle of the support plate is used to accommodate and prevent the reinforcing steel sheet to be inspected from being obstructed. Support bars are provided to lift the reinforcing steel sheet, ensuring that the flexible circuit board and its reinforcing steel sheet can be evenly flattened under the negative pressure adsorption effect of the negative pressure generator. Simultaneously, due to the different number of positioning posts on both sides, the operator can only position the reinforcing steel sheet to be inspected in the only correct direction, effectively avoiding mis-inspection and production waste caused by incorrect orientation. This fixture can achieve stable positioning while also eliminating warping or deformation that may occur due to the flexibility of the flexible circuit board, greatly improving the accuracy and consistency of inspection results.

The invention relates to a vehicle final assembly offline quality inspection method, robot and system, and the method comprises the steps: an algorithm end detects whether a new vehicle enters a quality inspection station based on the monitoring data of a conveyor belt, and if yes, triggers a quality inspection task and obtains the initial position information of the vehicle relative to the robot; the agent side responds to the trigger signal of the quality inspection task, obtains the vehicle identification code of the vehicle, determines the vehicle type information of the vehicle according to the vehicle identification code, and sends the vehicle type information to the algorithm side; the algorithm end determines a plurality of quality inspection operation point locations in the process that the vehicle moves along with the conveying belt according to the vehicle type information and the initial position information, and controls the robot to execute quality inspection data acquisition operation at the plurality of quality inspection operation point locations in the process that the robot moves along with the vehicle to obtain quality inspection data; and uploading the quality inspection data to a cloud server through the agent end for defect detection. Based on the hierarchical collaborative architecture, the method can adapt to dynamic speed changes, intelligently match vehicle models for quality inspection, and improve the quality inspection efficiency and reliability.

The present application relates to the technical field of heat exchanger performance test, and discloses a kind of aircraft heat exchanger performance test equipment, by setting pressure drop detection device and visual acquisition device in water pressure test system, can be judged whether leakage according to leakage rate and visual information identification result, improve test quality and accuracy.And cover and first limit switch are arranged in the water tank of water pressure test, protective cage and second limit switch are arranged on the test table of compression test, if heat exchanger accidental explosion or debris splashing etc., can be separated by cover and protective cage, can prevent heat exchanger from hurting in test.The water tank is also provided with a foot switch, which can conveniently and efficiently guide the test wastewater out.The anti-skid pad on the test table can isolate mechanical vibration and interference, improve test accuracy, and can avoid equipment falling damage or pulling off the connection with the test pipeline, improve safety.The present application also provides a kind of aircraft heat exchanger performance test method using the above-mentioned equipment.