<
100
mW
AI processing
0
GOPs
Compute power
0
MHz
Unlock embedded AI potential
We bring you deep learning data processing
at sub-milliwatt scale.
ASYGN Colibry Neural Processing Unit (NPU) is an ultra-low power microcontroller designed to accelerate AI-driven processing for image, sound, or any sensors data. It integrates a fully reconfigurable and efficient Neural Network Processing Accelerator (NNPA), enabling high-performance and ultra-low power solutions for a wide range of industrial applications.
Ultra-low power Microcontroller
32-bit RISC-V
Up to 300 MHz
<1mW – 10mW
128 KB SRAM
Neural Network Accelerator
On-chip NN inferences
Fully reconfigurable
Up to 9.6 GOPS
640KB SRAM
Sensor data processing
Parallel camera interface
Audio and SPI/I2C motion support
On-chip FTT and ISP accelerator
TinyML ready
Optimized for frugal AI
Enabling always-on AI
Best-in-class power efficiency
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
Key Features
0
-bit
RISC-V CPU
0
kB
CPU SRAM
0
kB
NNPA SRAM
Our chip in your system
Image processing
From object detection to scene analysis, the Colibry NPU enables multi-FPS inferences on images at sub-milliwatt scale.
Sound sensing
Sounds classification, noise cancellation, sources identification… The colibry NPU is the perfect chip to build tiny and high-accuracy sound-based systems.
Motion classification
Ideal for wearables tracking physical activity and security systems detecting motion, building frugal AI-enabled motion sensors becomes possible.
Discover our GREENAI initiative
An energy-autonomous European industrial platform for frugal and embedded AI
WITH THE SUPPORT OF
ISO Certified
