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• W4308906593 abstract "AbstractThe computer vision system is used to gather and study the data from an image or a video. It studies various properties of the image such as image brightness, color, pixels, contrast, and resolution and gathers data from the image. It is necessary to monitor the condition of tool as it affects the quality of the machined part and also the tooling cost. Tool wear detection is the process of analyzing the amount of wear on the tool. The work depicts a program for the detection of tool wear. The program calculates the number of pixels within the worn-out part of the tool. The extraction of the worn-out parts from the un-worn part is done by using computer vision operations such as canny edge operation, dilation operation, and erosion operation. The program provides an output in the form of an image that shows a worn-out region covered by a blue boundary. The program also outputs a value that gives a comparative idea about the tool wear. The higher the magnitude of this ratio, the higher is the amount of tool wear.KeywordsMachiningComputer visionTool wear" @default.
• W4308906593 created "2022-11-19" @default.
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• W4308906593 date "2022-11-11" @default.
• W4308906593 modified "2023-09-23" @default.
• W4308906593 title "Tool Wear Detection Using Computer Vision System in Machining" @default.
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• W4308906593 doi "https://doi.org/10.1007/978-981-16-9523-0_3" @default.
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