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

Toshit Jain, Faisel Mushtaq, K Ramesh, Sandip Deshmukh, Tathagata Ray +3 more
10/3/2023
cs.CV

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Abstract

In this work, a highly customizable and scalable vision based system for automation of mechanical assembly lines is described. The proposed system calculates the features that are required to classify and identify the different kinds of bolts that are used in the assembly line. The system describes a novel method of calculating the pitch of the bolt in addition to bolt identification and calculating the dimensions of the bolts. This identification and classification system is extremely lightweight and can be run on bare minimum hardware. The system is very fast in the order of milliseconds, hence the system can be used successfully even if the components are steadily moving on a conveyor. The results show that our system can correctly identify the parts in our dataset with 98% accuracy using the calculated features.

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Cite this paper

@article{jain2023development,
  title  = {Development of Machine Vision Approach for Mechanical Component Identification based on its Dimension and Pitch},
  author = {Toshit Jain and Faisel Mushtaq and K Ramesh and Sandip Deshmukh and Tathagata Ray and Chandu Parimi and Praveen Tandon and Pramod Kumar Jha},
  year   = {2023},
  eprint = {2310.01995},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.01995v1}
}

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