Contour Vision: Tool Detection Using OpenCV

Tool detection improves accuracy and operating efficiency and is essential to automation and industrial applications. In this paper, we provide ContourVision, an OpenCV-based tool detection system. Using methods including edge detection, thresholding, and contour analysis, the system uses contour detection to identify tools based on their forms. As evidenced by the accompanying code and output, experimental findings show that the system is accurate in identifying and classifying tools in a variety of situations. The system’s capacity to precisely highlight tools in real-time contexts is demonstrated by the bounding boxes surrounding detected tools.

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Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-03-11
DOI
https://doi.org/10.36948/ijfmr.2025.v07i02.38706
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Contour Vision: Tool Detection Using OpenCV

Yash Yash, Amit Grover, Harshit Raj, M. Anand et al.
International Journal For Multidisciplinary Research
Industrial Vision Systems and Defect Detection
article

Contour Vision: Tool Detection Using OpenCV

Yash Yash, Amit Grover, Harshit Raj, M. Anand, Neha Neha
article en

Abstract

Tool detection improves accuracy and operating efficiency and is essential to automation and industrial applications. In this paper, we provide ContourVision, an OpenCV-based tool detection system. Using methods including edge detection, thresholding, and contour analysis, the system uses contour detection to identify tools based on their forms. As evidenced by the accompanying code and output, experimental findings show that the system is accurate in identifying and classifying tools in a variety of situations. The system’s capacity to precisely highlight tools in real-time contexts is demonstrated by the bounding boxes surrounding detected tools.

International Journal For Multidisciplinary ResearchVol. 7(2)
Openalex Percentile: Top 92%
Industrial Vision Systems and Defect Detection
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