Abstract

Quality control is extremely important for manufacturing compatible parts to supply products that meet production requirements. It provides to track and control the stages of the process and minimizes waste by supporting high levels of productivity. Most of the manufacturers prefer a video measurement system (VMS), which offers non-contact high accurate measurement devices, for evaluating machined parts and products. However, due to the advanced technology and low competition the cost of the non-contact measurement devices is high. Besides some facilities and some research laboratories couldn’t reach these high-cost devices. Today, with the help of evolving technology and open-source image processing libraries, it is possible to offer cost-effective and accurate non-contact measurement systems. This study aims to put forward a VMS to measure parts/products in two dimensions with swift and accurate results. The proposed system has an error below 1% and the linear regression coefficient (r2) was found over 0.95. It works in real-time and minimum frequency was found 10 Hz for repetitive measurements, real-time measurement applications. The proposed cost-effective device can be adapted into various quality control applications in industrial manufacturing

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