Programmable Solution- Implemented on a Lattice low power FPGA, the demo uses machine learning to identify different human faces. A CNN acceleration engine is trained to deliver accurate identification by extracting 256 16-bit characteristics from each registered face.
In-field Registration- The demo can register and identify faces without the need for retraining, removing the need for uploading images and lengthy retraining using a GPU.
Rapid Implementation- The demo’s development boards support RTL blocks for the 8-layer CNN accelerator, image sensor connectivity and setup, and image sensor processor and memory management or easy modification.