Abstract
This paper presents an automated system for semiconductor chip recognition, classification, and pick-and-place operations using a custom object detection model, optical character recognition (OCR), and robotic kinematics. The Hailo AI processor, integrated with a Raspberry Pi, performs recognition, while classification is handled by EasyOCR. A dynamic detection pipeline accommodates varying chip attributes, including pin count, size, and labeling. The process includes image preprocessing, bounding box extraction, and robotic actuation. Experimental testing yielded a 97.9% classification accuracy, demonstrating the system's adaptability, speed, and precision for real-time sorting in smart manufacturing environments.