Published Paper Details:

In any organization, quality has a prime importance and the ability to visually detect the quality of a product is one the most important issues for a manufacturing industry because of the demand of product by customer is increasing. This process is typically carried out by quality experts, unfortunately experts frequently make mistakes because this process could be tedious and tiring even for the most trained operators. A lot of solutions have been proposed to solve this problem such as lean manufacturing. But Computer Vision can solve this problem and can help us to detect the defects and can verify the quality in mean time. Computer Vision is a branch of artificial intelligence which can be used to automate and integrate a wide range of processes used for visual perception. It includes many techniques such as image processing, statistical pattern recognition, feature extraction, neural network training and testing, object detection and recognition, etc. The use of Computer Vision and AI is currently restricted to only some basic visual and numerical based applications because of hard problems to solve or lack of computational power, but in future this field can be extended to other processes and fields such as detection of properties of materials using this technology, design and analysis of products, automation of critical manufacturing processes, fault diagnosis in product and process, so on and so forth. Computer Vision and AI has ability to solve all kind of problems. A lot research and development are being carried out in this field one of them is Reinforcement Learning, which will be the able to solve all sort of problems in future.