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In this work, a highly customizable and scalable vision based system forautomation of mechanical assembly lines is described. The proposed systemcalculates the features that are required to classify and identify thedifferent kinds of bolts that are used in the assembly line. The systemdescribes a novel method of calculating the pitch of the bolt in addition tobolt identification and calculating the dimensions of the bolts. Thisidentification and classification system is extremely lightweight and can berun on bare minimum hardware. The system is very fast in the order ofmilliseconds, hence the system can be used successfully even if the componentsare steadily moving on a conveyor. The results show that our system cancorrectly identify the parts in our dataset with 98% accuracy using thecalculated features.

Development of Machine Vision Approach for Mechanical Component Identification based on its Dimension and Pitch