• • The 16×16 InAlZnO optoelectronic neuromorphic array achieves 97.15% accuracy in image digit recognition via visual attention, demonstrating high-fidelity static image processing for machine vision applications.
• • Motion state recognition (direction, speed, color) attains 100% accuracy, validating the system's capability for dynamic trajectory perception critical in autonomous driving and surveillance.
• • Multi-factor modulation (oxygen vacancy concentration, Ag ions, heterojunction interfaces) enables electrical/optical conductance tunability, providing a versatile platform for synaptic weight programming.
• • The system integrates sensing and memory, overcoming the Von Neumann bottleneck by reducing data conversion and transmission delays, thus enhancing processing speed and energy efficiency for edge computing.