Method for counting the number of plates
By combining a depth vision model with an input device, the system automatically detects and supplements borders, solving the problem of time-consuming and error-prone manual counting of plate-shaped objects, and achieving fast and accurate calculation of the number of plate-shaped objects.
CN121095510BActive Publication Date: 2026-07-03TRIPOD WUXI ELECTRONICS
Patent Information
- Application Number
- CN202511308236.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-12
- Publication Date
- 2026-07-03
- Estimated Expiration
- 2045-09-12
AI Technical Summary
Technical Problem
In existing technologies, manually counting the number of plate-like objects is time-consuming and prone to errors.
Method used
A deep vision model is used for border detection, border spacing is calculated, borders are supplemented and identified, overlaps are detected and the number of plate-like objects is calculated, and manual verification is performed in conjunction with the input device.
Benefits of technology
It enables rapid and accurate calculation of the number of stacked plates, reduces human error, and improves counting efficiency and accuracy.
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Figure CN121095510B_ABST
Abstract
A method for counting the number of plate-shaped objects is disclosed. A processor can execute the method for counting the number of plate-shaped objects to count the total number of plate-shaped objects contained in an image to be identified. The method for counting the number of plate-shaped objects first uses a deep vision model to identify plate-shaped objects in the image to be identified and generates a plurality of identification bounding boxes in the image to be identified. Then, the method calculates the distances between the plurality of identification bounding boxes and determines whether each distance is greater than a preset distance. If the distance is greater than the preset distance, a supplementary identification bounding box is added at the position, and it is determined whether the supplementary identification bounding box overlaps with other identification bounding boxes. If there is an overlap, the supplementary identification bounding box is deleted. Finally, the number of identification bounding boxes and the number of supplementary identification bounding boxes are summed up to count the total number of plate-shaped objects in the image to be identified.
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Citation Information
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