• V.S. Maske
• Bandapalle Sadanand Dinesh
• Bansode Nilesh Dhondiba
• Divekar Abhishek Nanasaheb
• Dutal Saurav Baburao

The accurate measurement of the gears plays vital role in inspection of the gears. In current scenario the tools used for inspection are either expensive or time consuming. Apart from this, some methods of measurement cannot be employed for measurements of gear. The objective in context of problem statement of this project is to develop the Image Processing System for gear profile measurement. The purpose of this project is to use computer vision technology to develop a non-contact and precise system that allows measurement of gear parameters. The python language is used to generate output results in quick time with high accuracy. The different sample gears were tested by this Image Processing system and subsequent results were achieved by python programming. The output results shows that the all gears are inspected significantly in lesser period of time. It also increases the quality and productivity of gear production with reduction in the labour cost and lead time to promote the growth of industry.

gear parameters, image processing, python programming.

"Gear Defect Detection Using Image and ML Process ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.713-717, May-2023, Available :http://www.jetir.org/papers/JETIRFX06125.pdf

"Gear Defect Detection Using Image and ML Process ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp713-717, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06125.pdf