Abstract: A machine vision detection method includes receiving a three-dimensional image of a part to be detected including a first part and a second part, determining a plurality of sampling positions that satisfy sampling conditions, acquiring first sample data of the three-dimensional image of the first part at sampling positions and second sample data of the three-dimensional image of the second part at the sampling positions, calculating a first height difference between a plurality of first sample data and a second height difference between a plurality of second sample data, calculating a third height difference between the first sample data and the second sample data, and determining that the part to be detected is unqualified when any one of the first height difference, the second height difference, and the third height difference fails to meet a preset detection criterion.

Abstract: A machine vision detection method includes receiving a three-dimensional image from a line laser, converting the three-dimensional image into a two-dimensional grayscale image, obtaining a boundary of a first component and a boundary of a second component in the two-dimensional grayscale image, determining N perpendicular lines between the boundary of the first component and the boundary of the second component, and calculating an average length of the N perpendicular lines as a gap between the first component and the second component. The three-dimensional image includes at least a portion of the boundary of the first component, at least a portion of the boundary of the second component, and a welding spot located on the boundary of the first or second component. N is a positive integer.

Abstract: A cell detection method and apparatus, a system, a computer device, a computer-readable storage medium, a computer program product, and a cell detection system are provided. The method includes: obtaining, by shooting, a cell picture of a cell obtained after tab welding, the cell picture being shot under illumination of a shadowless light source; determining a detection object in the cell picture; and performing defect detection based on the detection object to obtain detection result information. In this method, the cell picture of the cell obtained after tab welding is shot under illumination of the shadowless light source, which can reduce a risk of false detection due to an impact of light spots caused by slight bending of an adapter plate, thereby improving the accuracy of defect detection on the cell that is obtained after tab welding.

Abstract: A detection apparatus includes a support, at least one driving apparatus provided on the support, and a first movable module. The at least one driving apparatus includes a first driving apparatus, and the first driving apparatus is connected to the first movable module. The first movable module is provided with a first sliding assembly, and a first camera connected to the first sliding assembly. The first driving apparatus is configured to control the first sliding assembly to move in a first direction to drive the first camera to move close to or away from a material to be photographed. An included angle between the first direction and a vertical direction is less than or equal to a preset angle threshold.

Abstract: The present application relates to a method, apparatus and system for inspecting a cell crush, a computer device, a storage medium, and a computer program product. The method may include: acquiring images of a flowing cell assembly by a high-speed image acquisition device; extracting image features from the images of the cell assembly; performing similarity matching between the image features and a preset crush model to obtain a similarity matching result; and obtaining a cell crush inspection result based on the similarity matching result.

Abstract: Provided are an appearance detection method and apparatus for a bare cell, a computer device, a computer-readable storage medium, a computer program product, and an appearance detection system for a bare cell, where the method includes: obtaining a cell picture of the bare cell by shooting, the cell picture being obtained by shooting in alignment with positions of tabs on an edge of the bare cell; determining a detection object in the cell picture; and performing appearance detection based on the detection object to obtain detection result information. The cell picture is obtained by shooting in alignment with the positions of the tabs on the edge of the bare cell, such that imaging of cell edges is parallel light reflection imaging.

Abstract: An electrode core encasing apparatus includes a main power mechanism, a housing fixing mechanism, an encasing mechanism, and an electrode core fixing mechanism. The housing fixing mechanism is disposed on one side of the encasing mechanism, which is located between the housing fixing mechanism and the electrode core fixing mechanism. The encasing mechanism includes an encasing mechanism body and an XY floating slide block. Two ends of the XY floating slide block are connected to the main power mechanism and the encasing mechanism body, respectively. The XY floating slide block is configured to drive the encasing mechanism body to slide freely relative to the main power mechanism, so as to adjust a relative position between the housing and the electrode core. The main power mechanism is configured to drive the housing fixing mechanism and the encasing mechanism to move to sleeve the electrode core into the housing.

Abstract: Provided are a detection method, an electronic device, and a computer-readable storage medium. The detection method includes: receiving an image of a product to be detected, and detecting a position of a preset feature point on a cover plate based on the image, where the product to be detected includes a connection piece and a cover plate, the connection piece is located on the cover plate and covers a partial region of the cover plate, and the preset feature point is located in a non-edge region on the cover plate that is not covered by the connection piece; obtaining a position of the cover plate in the image based on the position of the preset feature point and a size of the cover plate; and obtaining a position of the connection piece in the image based on the image.

Abstract: This application provides a tab image acquisition device, system, and method. The tab image acquisition device includes an image acquisition apparatus, where the image acquisition apparatus includes: a first mobile module movable in a first direction; a second mobile module movable in a second direction, where the second mobile module is installed on the first mobile module and the second direction intersects the first direction; an image acquisition module installed on the second mobile module; and a prism module installed on the first mobile module, where the prism module has a reflective surface, and the reflective surface is configured to change an angle of incident light on a tab whose image is to be acquired, so that the incident light enters the image acquisition module.

Abstract: An electrode core encasing apparatus includes a main power mechanism, a housing fixing mechanism, an encasing mechanism, and an electrode core fixing mechanism. The housing fixing mechanism is disposed on one side of the encasing mechanism, which is located between the housing fixing mechanism and the electrode core fixing mechanism. The encasing mechanism includes an encasing mechanism body and an XY floating slide block. Two ends of the XY floating slide block are connected to the main power mechanism and the encasing mechanism body, respectively. The XY floating slide block is configured to drive the encasing mechanism body to slide freely relative to the main power mechanism, so as to adjust a relative position between the housing and the electrode core. The main power mechanism is configured to drive the housing fixing mechanism and the encasing mechanism to move to sleeve the electrode core into the housing.

Abstract: Provided are a detection method, an electronic device, and a computer-readable storage medium. The detection method includes: receiving an image of a product to be detected, and detecting a position of a preset feature point on a cover plate based on the image, where the product to be detected includes a connection piece and a cover plate, the connection piece is located on the cover plate and covers a partial region of the cover plate, and the preset feature point is located in a non-edge region on the cover plate that is not covered by the connection piece; obtaining a position of the cover plate in the image based on the position of the preset feature point and a size of the cover plate; and obtaining a position of the connection piece in the image based on the image.

Abstract: Provided is a battery assembly assembling method, which may include: acquiring a pressing displacement amount of a press; controlling a damper to clamp a battery assembly if an absolute value of a difference between the pressing displacement amount and a standard pressing displacement amount is less than or equal to a preset threshold; acquiring a first actual displacement amount and a first clamping force of the damper; and completing assembling if an absolute value of a difference between the first actual displacement amount and a first standard displacement amount is less than or equal to a first displacement threshold, and an absolute value of a difference between the first clamping force and a first standard clamping force is less than or equal to a first clamping force threshold.

Abstract: A case-put-in apparatus for battery cell assembling is described. The battery cell includes an electrode assembly and a case. The apparatus includes a holding mechanism for holding the electrode assembly and/or the case, a driving mechanism for driving the holding mechanism to assemble a battery assembly into the case; a pressure detection mechanism for detecting a value of pressure on the holding mechanism; a displacement detection module for detecting a displacement of the holding mechanism; and a processing module communicatively connected to the pressure detection mechanism and the displacement detection module, and used to determine whether the assembling is abnormal according to the value of pressure and the displacement of the holding mechanism.