Nowadays, always-on intelligent and self-powered visual perception systems have gained
considerable attention and are widely used. However, capturing data and analyzing it via a …

The separation of the data capture and analysis in modern vision systems has led to a
massive amount of data transfer between the end devices and cloud computers, resulting in …

This work proposes a Processing-In-Sensor Accelerator, namely PISA, as a flexible, energy-
efficient, and high-performance solution for real-time and smart image processing in AI …

In this work, a high-speed and energy-efficient comparator-based Near-Sensor Local Binary
Pattern accelerator architecture (NS-LBP) is proposed to execute a novel local binary …

In the Artificial Intelligence of Things (AIoT) era, always-on intelligent and self-powered
visual perception systems have gained considerable attention and are widely used. Thus …

Targeting vision applications at the edge, in this work, we systematically explore and
propose a high-performance and energy-efficient Optical In-Sensor Accelerator architecture …

Edge devices equipped with computer vision must deal with vast amounts of sensory data
with limited computing resources. Hence, researchers have been exploring different energy …

In-sensor-processing (ISP) paradigm has been exploited in state-of-the-art vision system
designs to pave the way towards power-efficient sensing and processing. The redundant …

Convolutional Neural Networks (CNNs), due to their recent successes, have gained lots of
attention in various vision-based applications. They have proven to produce incredible …

Digital technologies have made it possible to deploy visual sensor nodes capable of
detecting motion events in the coverage area cost-effectively. However, background …