Automated System For Manufacturing Defects Detection


EOI: 10.11242/viva-tech.01.05.017

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Citation

Mr. Keyur Dattani, Mr. Mandar Koli, Mr. Mangesh Kini, Mr.Prathamesh Dongre, "Automated System For Manufacturing Defects Detection", VIVA-IJRI Volume 1, Issue 6, Article 17, pp. 1-5, 2023. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

The Artificial intelligence (AI) is being increasingly used for quality inspection in manufacturing.Quality inspection is a critical process in manufacturing, as it ensures that products meet customer specifications and requirements. AI can be used for quality inspection in several ways, including visual inspection, material inspection, and dimensional inspection. Visual inspection is the most common type of quality inspection, and AI can be used to automatically identify defects in products. Material inspection is used to identify defects in materials used in products, and AI can be used to automatically identify defects in materials. Dimensional inspection is used to identify defects in products that do not meet dimensional specifications. AI can be used to automatically identify defects in products that do not meet dimensional specifications.A quality inspection project using a visual inspection system may involve analyzing images to identify defects and classifying objects. The system may be used to inspect products during manufacturing or to check for damage during shipping. So, we are going to develop a project that does quality inspection using visual inspection of the product that are formed by casting process there by reducing the use of manpower, increasing the efficiency of the inspection, and speeding up the quality inspection process.

Keywords

Artificial intelligence, Dimensional inspection, Manufacturing, Quality inspection, Visual inspection.

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