Syringe Defect Detection

I developed a real-time object detection system to identify manufacturing defects in medical syringes. Using the Darknet framework, I trained a YOLOv4-tiny model to achieve accurate inference with minimal latency. The model was optimized for edge deployment on the NVIDIA Jetson Nano, allowing for efficient on-site defect analysis in real-time.