Machine Vision based quality inspection for automotive parts using edge detection technique
R. Kiruba Shankar, Jamaludin Indra, R. Oviya, A Heeraj, R Ragunathan
Abstract
Abstract This paper discusses the way in which the efficacy of inspection process can be improved. In the existing system the products are inspected manually to identify the defects. However, existing methodology is not efficient or accurate. On account of this the product is at a high risk of being rejected due to its low quality. This can lead to a hike in the production cost. In present industrial conditions there is an enormous competition in the manufacturing industry, therefore it is a necessity to maintain a high-quality inspection process to cope up with the competition. This can be achieved with the help of advanced technologies like machine vision. This technology uses a non-contact method of inspection. Compared to the existing technology this technology has improved efficiency and accuracy, while consuming less time. Thus, allowing the industries to keep up with the current competitive environment.