Development of Low-Cost Dimensional Measurement System Using Image Processing

Abstract

Dimensional accuracy is essential in manufacturing and quality assurance processes. However, traditional measurement systems are often expensive, complex, and inaccessible to small-scale industries and academic laboratories. This research presents the development and validation of a low-cost, image-processing-based system for dimensional measurement of mechanical components. The proposed system uses two standard digital camera and open-source image processing software to measure the length, width, and thickness of sample blocks. Measurements obtained via image processing were compared with actual physical measurements to evaluate the accuracy of the system. The results revealed that the system can achieve average percentage errors of less than 4% across all measured parameters, demonstrating its potential as a cost-effective alternative for dimensional measurement.