(SPIDER Automation) Coral AI Development Board | Edge TPU Coprocessor & NXP i.MX 8M SoC
Description
The (SPIDER Automation) Coral AI Development Board is an exceptional single-board computer designed specifically for developers and engineers needing rapid, power-efficient machine learning (ML) inferencing at the edge. Whether you are prototyping a smart camera system or building an advanced embedded device, this board bridges the gap between proof-of-concept testing and bulk production by utilizing a removable Coral System-on-Module (SoM).
Driven by the Google Edge TPU coprocessor, the board achieves a remarkable 4 trillion operations per second (TOPS) while consuming only 0.5 watts per TOPS (2 TOPS per watt). Running Mendel Linux—a derivative of Debian—it provides a full-featured operating environment equipped with standard Linux tools, robust TensorFlow Lite compatibility, and seamless integration with AutoML Vision Edge.
Key Features
- Google Edge TPU Coprocessor: Dedicated hardware accelerator capable of 4 TOPS for high-speed local AI model execution.
- NXP i.MX 8M SoC Architecture: Quad-core ARM Cortex-A53 processor paired with a Cortex-M4 real-time core and integrated GC7000 Lite Graphics.
- Removable System-on-Module (SoM): Allows seamless transition from initial prototyping on the baseboard to mass production using custom PCB hardware.
- Comprehensive Operating System: Ships with Mendel Linux (Debian-based), supporting standard development toolchains.
- Advanced ML Framework Support: Full compatibility with TensorFlow Lite models and Google AutoML Vision Edge.
- High-Speed Networking: Features an onboard Gigabit Ethernet port and robust wireless connectivity options.
Benefits
- Blazing-Fast Edge Inference: Execute state-of-the-art mobile vision models like MobileNet v2 at almost 400 frames per second.
- Extreme Power Efficiency: Delivers high-performance tensor math with minimal energy consumption (0.5W per TOPS).
- Streamlined Prototyping to Mass Production: Easily detach and scale the core SoM into custom commercial products without redesigning your processing core.
- Flexible Model Deployment: Skip ground-up development by compiling existing TensorFlow models to execute directly on the Edge TPU.
- Robust Wired Connectivity: Built-in Gigabit Ethernet ensures reliable network data transfer and remote management.
Applications
- Smart Surveillance & Computer Vision: Real-time object detection, facial recognition, and automated visual inspection systems.
- Edge AI & IoT Gateways: Decentralized data processing nodes analyzing sensor streams locally without cloud dependency.
- Industrial Automation: Quality control cameras, defect sorting lines, and predictive maintenance monitors.
- Robotics & Autonomous Drones: Real-time navigation, obstacle detection, and localized decision-making systems.
- Interactive Retail & Kiosks: Smart vending, gesture-controlled displays, and customer analytics tools.
Package Includes
- 1 x (SPIDER Automation) Coral AI Development Board
Technical Specifications
| Parameter | Specification |
|---|---|
| Item Type | AI & Machine Learning Development Board |
| Brand | SPIDER Automation |
| Manufacturer / Model | Coral AI Development Board (Google / Coral SoM) |
| Main Processor (SoC) | NXP i.MX 8M SoC (Quad ARM Cortex-A53, Cortex-M4) |
| AI Coprocessor | Google Edge TPU Coprocessor |
| AI Performance | 4 Trillion Operations Per Second (4 TOPS) at 2 TOPS/watt |
| Graphics Processor | Integrated GC7000 Lite Graphics |
| Operating System | Mendel Linux (Debian-based derivative) |
| AI & Model Support | TensorFlow Lite, AutoML Vision Edge |
| Networking | Gigabit Ethernet Port & Wireless Connectivity |
