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?
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
Application Note
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.
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