Digital Degree Fair 2020 @KTH

Synective will present our Master Thesis proposals within Embedded Deep Learning at this years Digital Degree Fair @KTH. The Degree Fair takes place on 14 october.  Click on the text for more information at the exhibitors...

Self-Learning BRIO Labyrinth Game

Jacob, our master thesis student from KTH, is now in full swing with his project that involves getting an oldschool BRIO Labyrinth game (equipped with two stepper motors) to learn to play by itself. To achieve this, he uses image processing, Kalman filtering and a...

Deep Learning on FPGA

Synective has developed a demo system to showcase the power of embedded FPGA Deep Learning. It was able to classify hand-written digits using nothing but a tiny, low-end FPGA and a...

Finger Recognition on Raspberry Pi

Synective has designed a CNN that is optimized with respect to memory footprint and inference speed. The network is implemented and runs on the ARM processor of the Raspberry...