Improving Performance of Real-Time Object Detection in Edge Device Through Concurrent Multi-Frame Processing
TL;DR
This article explores enhancing real-time object detection on edge devices by using concurrent multi-frame processing. It addresses the growing need for efficient computer vision in applications like autonomous driving and AI robots.
Improving Performance of Real-Time Object Detection in Edge Device Through Concurrent Multi-Frame Processing
Seunghwan Kim; Changjong Kim; Sunggon Kim
https://doi.org/10.1109/ACCESS.2024.3520240
Volume 13
As the performance and accuracy of machine learning and AI algorithms improve, the demand for adopting computer vision techniques to solve various problems, such as autonomous driving and AI robots, increases. To meet such demand, IoT and edge devices, which are small enough to be adopted in various environments while having sufficient computing capabilities, are being widely adopted. However, as ...