More recent models such as YOLO (You Only Look Once) use single-shot detection to provide near real-time object detection. But their memory requirements are still large.

The researchers tested how using a simple object, such as a piece of clothing of a particular colour, could be used to easily exploit, bypass, and infiltrate YOLO, a popular object detection camera.

At the same time, advances in embedded AI for object detection and categorization such as YOLO, GoogleNet and AlexNet reached an unprecedented level of accuracy (mean-Average Precision – mAP) and ...