Scalable Solution - This human upper-body detection and counting demo utilizes Lattice’s ECP5 FPGA and a Convolutional Neural Network (CNN) acceleration engine. It utilizes 7 convolution layers implemented in 8 Neural Network (NN) engines on ECP5-85 FPGA.
Highly Customizable - This demo, based on the object counting reference design, is provided with end to end components to allow for modification of the object being detected.
Rapid Implementation - The demo utilizes Lattice’s award winning Embedded Vision Development Kit, which consists of three stackable boards incorporating CrossLink, ECP5 FPGA, and the SiI1136 HDMI transceiver device.