NeuroEdge

Trainable pattern recognition on Edge AI Platform

The NeuroEdge is a Raspberry Pi based AI development platform that uses a neuromorphic device.

It supports a variety of sensors that can be used for AI systems.
It also enables real-time field training and inferring on devices that don’t require a network environment.

What is inside of NeuroEdge?

NeuroPi

Block Diagram

SPECIFICATION

Components

Neuromorphic 2 * NM500 (up to 1,152 Neuron)
Weight 190 g
Dimensions 95.00 * 68.00 * 55.00 mm
Bracket VESA 75 * 75 mm, 100 * 100 mm

Hardware Specification

SoC Broadcom BCM2711 SoC
CPU ARM Cortex-A72 1.5GHz
GPU VideoCore VI 500MHz
Memory 2 GB LPDDR4
Storage 32 GB (Micro SD)
Neuromorphic 2 * NM500 (up to 1,152 Neuron)
Network Ethernet, Wi-Fi, Bluetooth
Video output Micro HDMI * 2
Audio 3.5 mm Jack
USB USB 2.0 * 2 / USB 3.0 * 2
GPIO 40 Pin GPIO Expansion Header
Power 5 Vdc (more than 2 A)
Operating System Raspbian Buster

Manual/Software

NeuroPi H/W USER GUIDE
GETTING STARTED WITH NeuroEdge
NeuroPi SDK DOWNLOAD

Application Note

Face Recognition
Simple NM Detector
view more

NeuroEdge Installation with Bracket

Bracket of NeuroEdge is compatible with the VESA MIS-D standard.
Computer monitors and small televisions usually have the VESA MIS-D standard. With the VESA MIS-D standard, the mounting holes on the back of the monitor or TV have a horizontal and vertical distance of 75 or 100 mm to each other, which corresponds to a VESA standard of 75×75 or 100×100.
NeuroEdge can be connected to the VESA MIS-D standard.

Related Videos

NeuroEdge door Detection

NeuroEdge Face Recognition

Automatic Object Classification with NM500

view more