0
uW
0
GOPs
0
Unlock Embedded AI potential with ultra-low power technology
We are thrilled to bring our sub-milliwatt neural processor to frugal systems, enhancing sensor-driven applications.
Applications
Warehouses and factories
Detection of abnormal
machinery noise
Food tracking in a large
refrigerated storehouse
Healthcare
Fall detection
Vital state monitoring
Agriculture
Early identification of crop infection
Pest monitoring for optimize treatment
Sport
Security
Gun fire detection
Suspicious activity recognition in restricted area
ASYGN Colibry Neural Processing Unit (NPU) is an ultra-low power microcontroller designed to accelerate AI-driven processing for image, sound, and sensor data. It integrates a fully reconfigurable and efficient Convolutional Neural Network Accelerator (NNPA), enabling high-performance solutions for a wide range of industrial applications.
Ultra-low power Microcontroller
32-bits RISC-V
300 MHz
10 uW – 10mW
Neural Network Accelerator
On-chip AI
Reconfigurable CNN
9.6 GOPS
Optimized for sensor data processing
Video interface
Audio interface
SPI and GPIO
TinyML application ready
640KB SRAM
For data and weight
Always-on AI
Key Features
0
-bit
RISC-V
0
KB
sram
CNN
Fully reconfigurable
Our chip in your system
Sound classification
From object recognition to anomaly detection, our ultra-low-power chip enables you to run your models at a sub-milliwatt scale for tinyML applications.
Image classification
From object recognition to anomaly detection, our ultra-low-power chip enables you to run your models at a sub-milliwatt scale for tinyML applications.
Motion classification
Ideal for wearables tracking physical activity and security systems detecting motion, our ultra-low-power chip provides continuous performance.
Discover our GREENAI initiative
An energy-autonomous European industrial platform for frugal and embedded AI
WITH THE SUPPORT OF
ISO Certified
