Kneron MINI-AI-520 AI Edge Computing Module

Kneron MINI-AI-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 MINI-AI-520 connects to embedded systems that support mPCIe 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-MIAI-A11-0001) or paired with an EverFocus EUA1200 Full HD Camera (PER-T520-MIAI-A11-K001).

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 MINI-AI-520 AI Edge Computing Module

Features

Documents

Block Diagram

Board Layout

EUA1200 Camera Dimensions

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