Real-Time Adaptive Resolution System Using Electronically Foveated Dynamic Vision Sensor for Optimized Visual Processing

This paper presents a real-time adjustable resolution system, inspired by the biological visual system’s foveated processing, tailored for robotic and Internet of Things (IoT) applications. The core of this system is an Electronically Foveated Dynamic Vision Sensor (EF-DVS), designed to optimize visual processing by significantly reducing data bandwidth, power consumption, and computational load. The EF-DVS leverages a reconfigurable architecture that allows dynamic control of sensor resolution, making it ideal for resource-constrained environments typical in modern IoT and robotic systems. Integrated with a microcontroller and a graphical user interface (GUI), the system enables real-time resolution reconfiguration, facilitating adaptive data output and energy efficiency. Experimental results demonstrate the EF-DVS’s effectiveness in reducing data rates while maintaining high-resolution output where needed, showcasing its potential for intelligent robotics and IoT applications.