Low Power Deep Learning on the OpenMV Cam powered by the Cortex-M7 Processor 

Edge computing helps reduce latency and power consumption by performing signal processing at the source of the data. Recently ARM released the CMSIS-NN library, an efficient neural network library optimized for the Cortex-M based microcontrollers. The CMSIS-NN library (pronounced Sim-Sis) brings deep learning to low-power microcontrollers such as the Cortex-M7 based OpenMV camera.