Using the YOLOv12 Model for Verifying the Correct Color Sequence of Wires in Network Cables (Patch Cords) on the Production Line
Researchers have developed a new system using the YOLOv12 object detection model to automate the verification of wire color sequences in network cables during production. This AI-powered approach analyzes microscopic images of connectors, achieving high precision and recall rates of approximately 99% and 98% respectively. The system aims to reduce errors and increase efficiency in manufacturing by eliminating the need for manual inspection. AI
IMPACT Automates quality control in network cable manufacturing, reducing errors and increasing production efficiency.