(SPIDER Automation) Coral Dev Board Mini | Google Edge TPU ML Accelerator & MediaTek MT8167s SoC

SPIDER Automation Coral Dev Board Mini | Google Edge TPU & MediaTek MT8167s SoC

Description

SPIDER Automation Coral Dev Board Mini is a versatile single-board computer engineered to help you quickly prototype and deploy embedded systems equipped with real-time, on-device machine learning inferencing. It also serves as an ideal evaluation platform for the Coral Accelerator Module, allowing developers to integrate Google’s Edge TPU directly into custom PCB hardware as a surface-mounted module. The Edge TPU is a specialized ASIC designed to accelerate TensorFlow Lite models with exceptional energy efficiency, delivering 4 trillion operations per second (4 TOPS) while consuming just 2 watts of power—an impressive 2 TOPS per watt. For example, a single Edge TPU can execute state-of-the-art mobile vision models like MobileNet v2 at nearly 400 frames per second. By executing ML processing locally on the device, this board drastically reduces latency, enhances data privacy, and eliminates reliance on constant cloud internet connectivity.

The board is driven by the MediaTek 8167s System-on-Chip (SoC), which combines a quad-core ARM® Cortex®-A35 CPU, an Imagination PowerVR GE8300 graphics processor, and robust ARM TrustZone security architecture. Connectivity and expansion features include Wi-Fi 5, Bluetooth 5.0, 8 GB of eMMC storage, 2 GB of LPDDR3 RAM, a USB 2.0 Type-C OTG port, micro-HDMI 1.4a video output, MIPI DSI display and MIPI CSI camera headers, a 3.5 mm headphone jack, a digital PDM microphone, a 2.54mm 2-pin mono speaker terminal, and a standard 40-pin GPIO expansion header. Running pre-flashed Mendel Linux out of the box, the Coral Dev Board Mini provides an out-of-the-shelf workstation for edge AI deployment.

Key Features

• MediaTek 8167s SoC Architecture: Powered by a quad-core ARM® Cortex®-A35 CPU core and an Imagination PowerVR GE8300 GPU.
• Google Edge TPU ML Accelerator: Integrated ASIC delivering 4 TOPS peak performance (int8 quantization) at 2 TOPS per watt efficiency.
• Advanced On-Device Processing: Capable of running complex models like MobileNet v2 at ~400 fps with minimal power consumption and zero cloud latency.
• Robust Security: Features built-in ARM TrustZone® security architecture for protected execution environments.
• Wireless Connectivity: Integrated Wi-Fi 5 and Bluetooth 5.0 for flexible wireless networking and peripheral integration.
• Generous Memory & Storage: Equipped with 8 GB of eMMC non-volatile storage and 2 GB of LPDDR3 system memory.
• Rich Multimedia Peripherals: Includes micro-HDMI 1.4a video output, MIPI DSI display port, MIPI CSI camera port, 3.5mm audio jack, and digital PDM mic.
• Audio & GPIO Expansion: Features a 2.54mm 2-pin mono speaker terminal and a standard 40-pin GPIO expansion header for hardware addons.

Benefits

• Absolute Data Privacy: Local video and sensor processing ensures sensitive data never leaves the physical device.
• Zero Internet Dependency: Operates entirely offline without requiring continuous broadband connections or cloud API subscriptions.
• Ultra-Low Latency Inference: Immediate edge execution delivers instantaneous response times for critical automation and vision tasks.
• Turnkey Software Stack: Ships with Mendel Linux pre-flashed in factory, offering full terminal access and a robust Python/TensorFlow Lite library ecosystem.

Applications

• Smart Vision & Surveillance Systems: Localized object recognition, facial detection, and intruder alerts using MIPI CSI cameras.
• Industrial Automation & Quality Control: Automated visual inspection lines detecting structural defects on fast-moving assembly belts.
• Smart Home Voice Assistants: Local audio processing and keyword spotting utilizing the onboard digital PDM microphone and speaker terminals.
• Edge AI & Robotics Prototyping: Autonomous navigation and real-time obstacle avoidance models running directly on mobile robotic platforms.
• IoT Edge Gateways: Intelligent sensor aggregators processing telemetry and machine learning models locally before logging.

Package Includes

• 1 x CORAL G650-03324-01 Development Board Mini (MT8167s SoC, MCU, ARM Cortex-A35, with Google Edge TPU)

Technical Specifications