COLIBRY - NPU
Ultra-low power neural processing unit for autonomous and intelligent sensors.


ASYGN designs ultra-low power neural processor units to make sensors intelligent and autonomous. From object detection in images to sound recognition, the combination of a RISC-V core and a neural network accelerator delivers efficient processing within just a few milliwatts.

Reduced latency

Confidentiality preserved

Bandwidth reduced

Low energy consumption
Applications

Audio interfaces
Process always on audio with high accuracy and ultra low power dissipation

Touch-free interfaces
Realize low latency ultra low power touch-free interactions using radar sensors

Presence detection
Enable fast and efficient processiong of radar and camera data for always-on presence sensing

Activity recognition
Achieve efficient activity recognition in battery powered wearable with IMUs

ECG recognition
implement powerful on-device ECG signal processing independent of the cloud
Specifications
32-bit RISC-V Core
Up to 300 MHz internal oprating frequency
640KB SRAM
Up to 9.6 GOPS
Reconfigurable CNN Networks
40-pin chip
Between 100 uW and 10mW