AI Vision + Edge Computing Development Kit
AI Edge Computing Module (M2AI-2242-520) with EverFocus Full HD Camera
- Kneron KL520 NPU (Designed by ARM architecture)
- Mini Card (USB2.0 interface, Full size)
- Accelerator for AI Edge Computing
- EverFocus Full HD Camera EUA1200
- Good for people monitoring, retail application
The M2AI-2242-520 AI Vision + Edge Computing Development Kit combines the innovative Kneron KL520 Neural Processor Unit (NPU) with a compact full HD camera from EverFocus. This kit provides everything you need to build an energy efficient edge system to deploy AI applications wherever you need them.
The KL520 provides efficient AI computing performance of 0.56 TOPS per Watt, perfect for remote, mobile, and unmanned applications. The M2AI-2242-520 features the energy efficient KL520 in a in a M.2 22x42mm form factor that’s equally cost efficient. The EverFocus camera connects via USB port and provides full HD recording for more accurate processing at the edge.
The M2AI-2242-520 Vision + Edge Computing Development Kit is compatible with all of AAEON’s embedded solutions which support M.2 2242 B-Key modules. The kit offers developer the best balance of performance, efficiency and cost.
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SYSTEM
IC
Kneron KL520
Type
Integrated SoC
Support Framework
ONNX, TensorFlow, Keras, Caffe
Support Model
Vgg16, Resnet, GoogleNet, YOLO, Tiny YOLO, Lenet, MobileNet, DenseNet
Memory Type
LPDDR2
NPU Power Efficiency
0.35 TOPS
Overall Power Consumption
0.5 W
Others
Operating Temperature
32°F ~ 158°F (0°C ~ 70°C)
Storage Temperature
-40°F ~ 185°F (-40°C ~ 85°C)
Operating Humidity
0% ~ 90% relative humidity, non-condensing
Certification
CE/FCC Class A
Camera
EUA1200
1080p progressive scan CMOS sensor Support Windows and Linux
• 1080p progressive scan CMOS sensor
• 3.6mm / 6mm fixed lens (selectable)
• Supports USB2.0 OTG
• Support free driver: USB Video Class (UVC)
• Support Windows and Linux
| SYSTEM | |
| IC | Kneron KL520 |
| Type | Integrated SoC |
| Support Framework | ONNX, TensorFlow, Keras, Caffe |
| Support Model | Vgg16, Resnet, GoogleNet, YOLO, Tiny YOLO, Lenet, MobileNet, DenseNet |
| Memory Type | LPDDR2 |
| NPU Power Efficiency | 0.35 TOPS |
| Overall Power Consumption | 0.5 W |
| Others | |
| Operating Temperature | 32°F ~ 158°F (0°C ~ 70°C) |
| Storage Temperature | -40°F ~ 185°F (-40°C ~ 85°C) |
| Operating Humidity | 0% ~ 90% relative humidity, non-condensing |
| Certification | CE/FCC Class A |
| Camera | |
| EUA1200 | 1080p progressive scan CMOS sensor Support Windows and Linux • 1080p progressive scan CMOS sensor • 3.6mm / 6mm fixed lens (selectable) • Supports USB2.0 OTG • Support free driver: USB Video Class (UVC) • Support Windows and Linux |
- M2AI-2242-520 x 1
- EverFocus Full HD Camera EUA1200
- M3 screw x 2
- M2AI-2242-520 x 1
- EverFocus Full HD Camera EUA1200
- M3 screw x 2
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