Unlocking the potential of smart cameras with deep learning

An object in motion looks fundamentally different from an object at rest -- especially to a computer. To get a better idea of this concept, let's imagine a film strip of a sprinter running: The person and pose in one frame look drastically different from the next frame, right? Making sense of dynamic objects is taking on new importance as cities begin incorporating IoT devices like smart cameras to streamline municipal life. The town of Yuma, Arizona, is a great example of this. The city recently installed cameras on streetlights that can detect when cars, bicycles, and pedestrians travel through intersections, and it uses that data to optimise signal switching.