Designing quality control system based on vision inspection in pharmaceutical product lines

Today, the machine vision system applications are increasing sharply. Reducing both hardware and software costs resulted in more deployment of intelligent systems based on computer vision in the various industries. In this work, designing an intelligent quality control system for vision inspection purposes in pharmaceutical industries has been investigated. Our proposed method is based on template pattern matching and Radon transform, and the aim is to count the number of blister cards of pills on the product line. The results clearly show that the proposed algorithm is capable to tackle this challenging issue.