When high-end visual computing and computer vision applications need to be deployed in real-life scenarios, then embedded development platforms are required, which can do computationally intensive tasks efficiently. Platforms such as Raspberry Pi can use OpenCV for computer vision applications and camera-interfacing capability, but it is very slow for real-time applications. Nvidia, which specializes in GPU manufacturing, has developed modules that use GPUs for computationally intensive tasks. These modules can be used to deploy computer vision applications on embedded platforms and include Jetson TK1, Jetson TX1, and Jetson TX2.
Jetson TK1 is the preliminary board and contains 192 CUDA cores with the Nvidia Kepler GPU. It is the cheapest of the three. Jetson TX1 is intermediate in terms of processing speed, with 256 CUDA cores with Maxwell architecture...
