Machine learning and Image Processing Techniques used for Development of Fasteners Sorting System

Authors

  • Dilip R. Assistant Professor, Department of Electronics and Communication Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore
  • Tejashwini N. Associate Professor, Department of Computer Science and Engineering , Sai Vidya Institute of Technology, Bangalore
  • Narendra Kumar Assistant Professor, Department of Electronics and Communication Engineering, RNS Institute of Technology, Bangalore
  • Smitha Gayathri D. Assistant Professor, Department of Electronics and Communication Engineering, RNS Institute of Technology, Bangalore
  • Samavita N. Professor, Department of Electrical and Electronics Engineering, Nitte Meenakshi Institute of Technology, Bangalore
  • Kiran Kumar K. Assistant Professor, Department of Electronics and Communication Engineering, East Point College of Engineering and Technology Bangalore

Keywords:

sorting, fasteners, Machine learning, Pi Camera, CAD, Image Processing

Abstract

Sorting tasks are essential in industrial processes. They are usually done manually, requiring manpower, which is prone to human error, inefficiency, and time-consuming. This paper presents a system considering the mentioned drawbacks and provides a cost-effective solution. The main objective is to develop a Machine Learning (ML) model and mechanically implement the algorithm to sort fasteners such as bolts, nuts, screws, and washers using image processing technique. The hardware structure consists of a bowl feeder which feeds the fasteners to the conveyor periodically. Fasteners get aligned on the conveyor and it starts to proceed as the stepper motor rotates. The Pi camera module captures the image at the intermediate position of the conveyor. The captured image is processed and compared with the dataset in the Machine Learning (ML) model. Machine Learning (ML) predicts the type of fasteners. Based on the predicted result, the tilting mechanism which is connected at the output end using a servo motor tilts to the desired position. Fasteners reach the destination via a tilting mechanism.

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Published

16.08.2023

How to Cite

R., D. ., N., T. ., Kumar, N. ., Gayathri D., S. ., N., S. ., & Kumar K., K. . (2023). Machine learning and Image Processing Techniques used for Development of Fasteners Sorting System. International Journal of Intelligent Systems and Applications in Engineering, 11(10s), 529–534. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3308

Issue

Vol. 11 No. 10s (2023)

Section

Research Article

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