AI accelarator Intel Movidus Neural Computation Module G38 MA2155
This tiny, fanless, deep learning device allows you to learn AI programming at the edge. It is powered by the same high-performance Intel® Movidius™ Vision Processing Unit (VPU) that can be found in millions of smart security cameras, gesture controlled drones, industrial machine vision equipment, and more.
Enable rapid prototyping, validation, and deployment of deep neural network (DNN) inference applications at the edge. The low-power vision processing unit (VPU) architecture enables an entirely new segment of AI applications that are not reliant on a connection to the cloud.
Combined with the Intel® Movidius™ Software Development Kit (SDK), it allows deep learning developers to profile, tune, and deploy convolutional neural networks (CNN) on low-power applications that require real-time inferencing.
This module uses 12V DC power supply and use jump wire connection as USB connection. It is designed to use as a module to be embedded to a design of IPC camera, NVR and much more. Italic text
• Processor: Intel® Movidius™ Myriad™ 2 Vision Processing Unit (VPU)
• Supported frameworks: TensorFlow*, Caffe*
• Connectivity: USB 3.0 Type-A
• Operating temperature: 0° C to 40° C
• Minimum system requirements:
- Linux, Windows, and Android
- USB 2.0 Type-A port (USB 3.0 recommended)
- 1 GB RAM
- 4 GB free storage space
Basic working schematic diagram
USB universal interface
Hardware Platform: X86、X64、Raspberry pi
Hardware interface：USB 2.0
Module Structure Size Diagram
Core Board Module Parameters
Core Board Module Interface Definition
Control signal and data interface via 5 Pin spacing 1.25mm WAFER
Interface signals include: 3.3Vpower supply, ground, USB Host, USB
3.3V program interface diagram
12V Program (Preparatory Program)
USB Interface definition
This Face recognition module can be embedded in many different types of products. The module are connected to the main control board through the USB interface. Manufacturers can design according to their own structure.