ABSTRACT
AI technologies are transforming vehicle design and production in the automobile industry. Based on the problem analysis, we present an AI-based approach for vehicle electrical wiring harness design. We use deep learning and a convolutional neural network (CNN) on annotated images to detect connector standards for the engine, interior, and rear bonnet. The CNN model is trained to identify zones and classify connector standards for each zone. Finally, we prove the idea and demonstrate its applicability to car electrical wiring harness design.
