Coral Dev Board Mini is a compact edge AI platform featuring the Google Edge TPU coprocessor and Cortex-M7 CPU. It’s ideal for running TensorFlow Lite ML models in robotics, such as face/gesture detection or path planning.
The Coral Dev Board Mini is a compact, cost-effective single-board computer built for high-performance on-device machine learning. Powered by the MediaTek 8167s SoC and Google's Edge TPU co-processor, it delivers up to 4 TOPS of AI acceleration while maintaining low power consumption. The board comes equipped with 2GB of LPDDR3 RAM, 8GB of eMMC storage, and built-in Wi-Fi and Bluetooth, making it ideal for embedded AI applications where latency, privacy, and offline functionality are key. Designed for rapid prototyping and deployment of edge AI models using TensorFlow Lite, it includes rich I/O options such as USB-C, micro HDMI, audio interfaces, camera/display connectors, and a 40-pin GPIO header. With its small form factor and support for Mendel Linux, the Coral Dev Board Mini offers a powerful, flexible platform for developers bringing AI inference to the edge. Key Features
Attribute | Value | Description | Why It Matters |
---|---|---|---|
Processor Type | N/A | CPU architecture and speed | Computational capability |
I/O Capacity | N/A | Digital/analog input/output count | System integration capacity |
Memory | N/A | RAM and storage capacity | Program complexity capability |
Real-time Capability | N/A | Deterministic response time | Motion control precision |
Communication Interfaces | N/A | Network and fieldbus support | System connectivity |
Programming Environment | N/A | Development software | Ease of implementation |
Safety Features | N/A | Functional safety compliance | Human safety requirements |
Expansion Options | N/A | Modular expansion capability | System scalability |
Attribute | Value | Description | Why It Matters |
---|---|---|---|
Height | 10 | Total standing height (cm) | Human-scale enables use of tools, navigation of spaces |
Width | 20 | Shoulder-to-shoulder width (cm) | Affects balance, door/passage fit |
Weight | 52 | Total mass (kg) | Impacts mobility, safety, power usage, transportability |
Attribute | Value | Description | Why It Matters |
---|---|---|---|
Battery Type | Alkaline Battery | Li-ion / LiFePO4 / etc. | Determines energy density, safety |
Battery Capacity | Wh or Ah | Impacts range and operating time | |
Operating Duration | Hours under normal load | Key for logistics, shift planning |
Attribute | Value | Description | Why It Matters |
---|---|---|---|
Payload Capacity | Maximum carrying capacity (kg) | Determines real-world utility | |
Speed | Maximum operational speed | Task completion rate & productivity | |
Precision | Positioning accuracy (mm) | Quality of work & application suitability | |
Repeatability | Consistency of positioning (±mm) | Manufacturing quality & reliability | |
Cycle Time | Time per standard operation | Productivity & throughput calculations | |
MTBF | Mean Time Between Failures (hours) | Reliability & maintenance planning | |
Service Life | Expected operational lifespan (years) | ROI calculations & replacement planning |
Attribute | Value | Description | Why It Matters |
---|---|---|---|
Communication Protocol | Wi-Fi / Ethernet / 5G / Bluetooth | Network integration capabilities | |
Remote Control | Web / App / Joystick / API | Needed for manual override or remote training | |
Programming Interface | Drag-drop / Code / Visual / Teach pendant | Ease of deployment and customization | |
Integration APIs | Available software interfaces | System integration capabilities | |
Cloud Connectivity | Cloud platform compatibility | Data analytics & remote monitoring | |
Security Features | Encryption & authentication methods | Cybersecurity compliance |
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