Year: 2025
Type: article
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.
Authors: Mudit Anand -, Atharv Grover -, Harshit Raj -, Yash -, Neha -
Institution: SRM Institute of Science and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408949018