AI Based Quality Analysis of Industrial Products
Prasanna Khandarkar, Shyam Ingle, Adwait Kulkarni, Sapana S. Kamble, DOI : 10.37591/JoPRM
[This article belongs to Journal of Production Research & Management(joprm)]
Keywords
Gear, MATLAB, Image processing, Manufacturing industries, Power transmission
Abstract
The project introduces a new method for sampling data from a group, addressing limitations in traditional approaches. It highlights inefficiencies in inspecting only a few items from a batch, potentially leading to the rejection of entire lots due to isolated errors. To counter these challenges, a system is being designed to automatically inspect every gear in a batch. This system incorporates a conveyor belt for gear movement and a camera for analyzing gear parameters. Parameters are compared against those stored in a backend database, with gears meeting the specified criteria directed to the accepted lot and those failing diverted to the rejected lot using a shooting gun mechanism. This automated approach aims to enhance efficiency and accuracy in quality control, eliminating manual inspection and reducing the risk of rejecting entire lots due to isolated errors.
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