This application note explores an Edge Analytics/Intelligence reference design for Human Count Detection implemented in a Lattice Semiconductor FPGA architecture. Throughout the appnote, the use of vendor-proprietary, 3rd party, and open source offerings was identified and explained, along with the techniques and mathematical concepts employed in the implementation and training of the neural network.
At 1:49 am, during a night shift in a factory, a robotic pick-and-place arm, running on line-2, is feeding components…
The demand for advanced perception systems is growing across various sectors, and sensor fusion has become essential…
