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.
How can manufacturers transform fragmented operational data into real-time intelligence...
Industrial machines are evolving from systems that simply report their status to system…
When it comes to smart homes, getting devices connected is only the beginning. Matter has transformed…
