What needed solving
Since the manufacturing process includes a large range of items, the classification of produced parts according to different automobile models was a tedious task. To solve this problem, the customer opted for a machine vision solution.
The manufacturing unit required the installation of a system. Colour and shape were the deciding factors to classify the parts but after a particular duration, differentiating between similar shades of colors was a tough task and our client wanted to try automating the classification of parts.
Overview
Our client is a multinational motorcycle company headquartered in Chennai, India. It is the third largest motorcycle company in India with a revenue of over ₹20,000 crore in 2018-19.The company has annual sales of 3 million units and an annual capacity of over 4 million vehicles and more than 1,00,000 as their employees.
Problems Faced By Our Client
- Since the manufacturing process includes a large range of items, the classification of produced parts according to different automobile models was a tedious task. To solve this problem, the customer opted for a machine vision solution.
- The manufacturing unit required the installation of a system. Colour and shape were the deciding factors to classify the parts but after a particular duration, differentiating between similar shades of colors was a tough task and our client wanted to try automating the classification of parts.
