Real-time Analog Pixel-to-pixel Dynamic Frame Differencing with Memristive Sensing Circuits

TL;DR

This paper introduces an analog pixel differencing circuit integrated with CMOS sensors for real-time frame differencing, enabling efficient edge AI applications with low power consumption and compact design.

Contribution

It presents a novel analog pixel differencing circuit integrated into CMOS sensors, optimized for real-time moving object detection in edge AI devices.

Findings

Power dissipation is 96.64mW.

Circuit area is 531.66 μm².

Effective for real-time moving object detection.

Abstract

In this paper, we propose an analog pixel differencing circuit for differentiating pixels between frames directly from CMOS pixels. The analog information processing at sensor is a topic of growing appeal to develop edge AI devices. The proposed circuit is integrated into a pixel-parallel and pixel-column architectures. The proposed system is design using TSMC $180nm$ CMOS technology. The power dissipation of the proposed circuit is $96.64mW$, and on-chip ares is $531.66 \mu m^2$. The architectures are tested for moving object detection application.