Abstract
Edge-AI offloading is a promising solution for real-time object detection with resource-constrained edge devices. However, current edge architecture, which uses conventional digital video compression and modulation/coding, cannot provide stable object detection due to the scarcity of wireless resources and the explosive increase of edge devices. We employ pseudo-analog video transmission for Edge-AI offloading systems to cope with the issue. Although pseudo-analog video transmission cannot provide clear images, it has a substantial advantage for Edge-AI offloading systems, i.e., it can transmit higher-resolution video with limited bandwidth in lower Signal-to-Noise Ratio (SNR) links and do not need to control resolution according to wireless channel quality. This paper explores the impact of pseudo-analog video transmission on object detection accuracy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
