Vision-xG:Video Intelligent Sensor Integration Over advanced Networks

The high speed and low latency wireless networks enabled by 5G have enabled a multitude of novel services, and Internet of Things. For the moment, most of these IoT sensors transmit small amounts of data at infrequent intervals mainly due low bandwidth nature of IoT networks such as LoraWAN. However emerging applications such as Intelligent traffic management, preventive maintenance of infrastructure, Precision agriculture, Augmented reality, ADAS, all of them demand video or image data sensors [1],[2],[3],[4],[5]. The major bottlenecks blocking the wide adoption of these technologies are

Autonomy of Wireless Imaging Systems:

Video Bandwidth Requirements:

Network Infrastructure:

Security & Privacy :

Technical goals:

1. Solutions for autonomous intelligent image sensors through energy fusion (Ambient Light, RF) and Edge Computing.

2. Solutions for video bandwidth reduction through Learned Image Compression and Video Coding for Machines.

3. Integration of above solutions to demonstrate a edge-to-cloud single sensor use case, and collect performance metrics.