Researchers at the University of Tsukuba in Japan have developed a new method, SPADE, to assist in designing and testing drone-based video surveillance systems.
SPADE, which stands for Simulator-assisted PerformAbility Design methodology for UAV-based Systems, allows engineers to simulate drone flights and video data processing in a virtual environment.
By using SPADE, designers can assess system performance, video quality, object detection, and energy usage before physically implementing the drone surveillance system.
The new approach aims to save time, reduce costs, and mitigate risks associated with building advanced drone surveillance systems, potentially leading to more efficient and reliable designs for both small-scale and large-scale projects.