AI-AOI Mechatronic Systems

To enhance manufacturing efficiency, we propose a vision-based automated system for identifying Nickel-based alloys components. Integrating AI model for detection and for character recognition, the system employs advanced image preprocessing and a multiframe fusion mechanism to ensure stability under varying lighting and complex backgrounds. Hardware integration includes a PLC and positioning sensors. Experimental results demonstrate high recognition accuracy with a processing speed. This approach provides a robust, high-speed solution for automated quality inspection, effectively addressing the limitations of manual identification in intelligent aerospace production environments.