A Novel Approach for Real Time Implementation of Textile Cone Defect Detection Using Computer Vision Techniques

The project presents an advanced defect detection system for textile cone manufacturers utilizing the ESP-32CAM module. The system is designed to achieve high precision in real-time defect detection and counting, thereby improving quality control and reducing production costs. Defective cones are swiftly removed from the production line through an automated mechanism employing a modified servo motor, preventing further processing or packaging of flawed products. An integrated LCD display provides real-time feedback on the defect count, enabling immediate corrective actions. This proactive approach ensures enhanced production efficiency, superior product quality, and significant cost savings. By addressing the industry’s pressing need for efficient defect detection and mitigation strategies, the system not only improves operational effectiveness but also boosts customer satisfaction through consistent product quality. This integration of advanced technology into the manufacturing process exemplifies the potential for continuous improvement and operational excellence in the textile industry.