This paper presents the development and implementation of advanced image processing systems aimed at enhancing quality assurance and compliance in medical device manufacturing. With stringent regulatory requirements and the increasing complexity of medical devices, ensuring consistent product quality is critical. The proposed system employs state of the art image processing techniques, including defect detection, dimensional analysis and surface quality inspection to automate and improve inspection processes. These systems are integrated into existing manufacturing workflows to enable real-time monitoring, reduce human error and ensure adherence to quality standards. Optimized for scalability and operational efficiency, the implementation is demonstrated through case studies that highlight the improvements in defect detection rates, compliance verification and overall productivity.