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...
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If someone had predicted fifteen years ago that 28nm would still be the foundation for many new chip designs…
