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Google Coral Dev Board Mini G650-03324-01 Edge TPU AI SBC

₹15,569.00 (Inclusive of all taxes)
Out of Stock

The Google Coral Dev Board Mini is a compact single-board computer designed for rapid prototyping and deployment of embedded systems with on-device machine learning inferencing. Featuring Google’s Edge TPU, it delivers 4 TOPS of AI performance for accelerating TensorFlow Lite models efficiently.

Features

  • Integrated Google Edge TPU ML accelerator for 4 TOPS (int8) peak performance.
  • Powered by MediaTek 8167s SoC with quad-core ARM Cortex-A35 processor.
  • Includes 2GB LPDDR3 RAM and 8GB eMMC flash storage.
  • Features Wi-Fi 5 (802.11ac) and Bluetooth 5.0 for versatile wireless connectivity.
  • Designed for on-device machine learning, reducing latency and enhancing data privacy.

Out of stock

Description

The Google Coral Dev Board Mini provides a robust platform for developers to quickly prototype and deploy embedded systems with integrated machine learning capabilities. It excels in on-device ML inferencing, making it ideal for applications requiring low latency, enhanced data privacy, and operation without a constant internet connection. The board can also serve as an evaluation platform for the Google Coral Accelerator Module, allowing integration of the Edge TPU into custom PCB designs.

At its core, the board features Google’s custom Edge TPU, a specialized ASIC engineered to accelerate TensorFlow Lite models. This accelerator is capable of performing 4 trillion operations per second (4 TOPS) at a power efficiency of 2 TOPS per watt, significantly boosting the performance of state-of-the-art mobile vision models like MobileNet v2. Coupled with the MediaTek 8167s SoC, which includes a quad-core ARM Cortex-A35 CPU and Imagination PowerVR GE8300 GPU, the Google Coral Dev Board Mini offers a powerful yet energy-efficient solution for edge AI applications.

Key Features

  • Google Edge TPU ML accelerator: Delivers 4 TOPS peak performance (int8) with 2 TOPS per watt efficiency.
  • MediaTek 8167s SoC: Features a Quad-core ARM Cortex-A35 CPU and Imagination PowerVR GE8300 GPU.
  • ARM TrustZone Security: Provides hardware-backed security features for embedded applications.
  • Wireless Connectivity: Integrated Wi-Fi 5 (802.11ac) and Bluetooth 5.0.
  • Memory & Storage: Equipped with 2 GB LPDDR3 RAM and 8 GB eMMC flash storage.
  • Video Output: Micro HDMI 1.4a port for display connectivity.
  • USB Interface: USB 2.0 Type-C port with OTG capabilities.
  • Display & Camera Interfaces: MIPI DSI for displays and MIPI CSI for camera modules.
  • Audio Support: Includes a 3.5 mm headphone jack, digital PDM microphone input, and 2.54mm 2-pin mono speaker terminal.
  • Expansion: 40-pin GPIO expansion header for peripherals and custom circuitry.
  • Operating System: Pre-flashed with Mendel Linux (Debian-based) at the factory.

Applications

  • On-device machine learning inferencing for real-time analytics.
  • Edge AI applications such as object detection and classification.
  • Smart cameras and vision systems for surveillance or industrial inspection.
  • Industrial automation requiring embedded intelligence.
  • Robotics and autonomous systems with local AI processing.
  • IoT gateways with integrated AI capabilities for data pre-processing.

Technical Specifications

ML AcceleratorGoogle Edge TPU (4 TOPS int8, 2 TOPS/watt)
SoCMediaTek 8167s
CPUQuad-core ARM Cortex-A35
GPUImagination PowerVR GE8300
RAM2 GB LPDDR3
Storage8 GB eMMC
WirelessWi-Fi 5 (802.11ac), Bluetooth 5.0
Video OutputHDMI 1.4a (micro)
USBUSB 2.0 Type-C OTG
Display InterfaceMIPI DSI
Camera InterfaceMIPI CSI
Audio3.5mm headphone jack, PDM microphone, 2-pin speaker
Expansion40-pin GPIO header
OS SupportMendel Linux

Frequently Asked Questions

What is the core ML accelerator on the Google Coral Dev Board Mini?

The board integrates Google's Edge TPU, a small ASIC designed to accelerate TensorFlow Lite models. It provides 4 trillion operations per second (4 TOPS) for integer operations, enabling efficient on-device machine learning inference at low power consumption. This specialized hardware significantly speeds up AI tasks.

What operating system and development tools does the Google Coral Dev Board Mini support?

The Google Coral Dev Board Mini comes pre-flashed with Mendel Linux, a Debian-based OS optimized for the platform. Developers typically use TensorFlow Lite for model deployment, leveraging Google's Edge TPU runtime for optimized performance. Standard Linux development tools and environments are fully supported for application development.

Can the Google Coral Dev Board Mini connect to external displays and cameras?

Yes, the board includes a micro HDMI 1.4a port for display output. For camera and display integration, it provides MIPI CSI and MIPI DSI interfaces, respectively. These allow direct connection to compatible camera modules and LCD panels, crucial for vision-based AI applications.

What are the key specifications of the main SoC?

The board is powered by the MediaTek 8167s SoC, which features a quad-core ARM Cortex-A35 processor. It also includes an Imagination PowerVR GE8300 GPU, 2 GB of LPDDR3 RAM, and 8 GB of eMMC storage. This configuration provides a balanced performance for both system operation and ML tasks.

What are the wireless connectivity options available?

The Google Coral Dev Board Mini comes with integrated wireless capabilities, including Wi-Fi 5 (802.11ac) for high-speed network access and Bluetooth 5.0 for low-power peripheral connections. These features enable versatile connectivity for IoT applications, data transfer, and communication with other devices.

Package Includes

  • 1 x Google Coral Dev Board Mini G650-03324-01 (Edge TPU AI Development Board, 4 TOPS)

Additional Information

Weight 0.085 kg
Dimensions 14 × 10 × 4 cm