Camera based Vision Inspection System

Authors:

Atulkumar Angad Maurya1, Omkar Prakash Mali2, Ayan Sajid Mujawar3, Mujjamil Kurandwade4 ,

^*1,2,3,4 Department of Electronics And Computer Engineering, Yadrav (Ichalkaranji) Maharashtra, India.

^*5 Assistant Professor, Department of Electronics and Computer Engineering, Yadrav (Ichalkaranji) Maharashtra, India

ABSTRACT - The quality control system perform quality checks of the manufactured products in most of the industries post production using quality control department. The manual inspection of the quality is the error prone task and requires repetitive quality inspection with same precision. This project deals with the development of the visual feature based recognition and segregation for industrial intelligence using Robotics. The proposed project consist of development of vision based system which can check for defects. The products to be inspected for quality and dimension are passed below the camera based quality inspection system where they are check for the quality or dimensional accuracy. The deep learning based system is used to determine the defects and if the product is found to be defective the segregation system will automatically segregate the defective parts from the flow. The proposed system uses deep learning for visual feature inspection for detection of industrial defects as well as dimensional errors in manufacturing.

Keywords:

Machine Vision, Defect detection,Quality assurance,Industrial automation, Quality inspection system.