Kneron M2AI-2242-520 AI Edge Computing Module

Kneron M2AI-2242-520 AI Edge Computing Module is designed to bring Artificial Intelligence (AI) and Machine Learning (ML) inferencing to existing systems. Based on the KL520 Neural Processor Unit (NPU), the M2AI-2242-520 connects to embedded systems that support M.2 22mm x 42mm modules. The KL520 provides an efficient AI computing performance of 0.56 TOPS per Watt, perfect for remote, mobile, and unmanned applications.

The Kneron M2AI-2242-520 AI Edge Computing Module is available individually (PER-T520-M2AI-0421) or paired with an EverFocus EUA1200 Full HD Camera (PER-T520-M2AI-K421).

Features

AI Edge Computing Module (M2AI-2242-520)
- Kneron KL520 NPU (Designed by Arm architecture)
- M.2 (B Key) form factor
- Support Framework: ONNX, TensorFlow, Keras, Caffe
- Support Model: Vgg16, Resnet, GoogleNet, YOLO, Tiny YOLO, Lenet, MobileNet, DenseNet
- Memory type: LPDDR2
- NPU power efficiency: 0.56TOPS/W
- 0.5W overall power consumption
- Dimensions: 22mm x 42mm

Optional Everfocus EUA1200 1080p Full HD USB Camera
- 1080p progressive scan CMOS sensor
- 3.6mm / 6mm fixed lens (selectable)
- Supports USB 2.0 OTG

Documents

Datasheet
User Manual

Kneron M2AI-2242-520 AI Edge Computing Module

Features

Documents

Block Diagram

Board Layout

EUA1200 Camera Dimensions

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