(SPIDER Automation) Google Coral System-on-Module (SoM) | NXP i.MX 8M & Edge TPU Coprocessor | 1GB RAM & 8GB eMMC

SPIDER Automation Google Coral System-on-Module (SoM) | NXP i.MX 8M & Edge TPU | For Edge AI & Machine Learning Prototyping

Description

SPIDER Automation Google Coral System-on-Module (SoM) delivers a fully integrated, production-ready computing core engineered specifically for edge devices demanding real-time, high-speed machine learning inferencing. By combining NXP’s robust i.MX 8M system-on-chip architecture with Google’s custom Edge TPU coprocessor, this module bridges the gap between high-power cloud computing and low-power local data processing. Measuring just 48 × 40 mm, it provides developers with a compact, highly scalable building block for custom industrial hardware.

The module’s standout feature is the integrated Edge TPU ASIC, capable of performing 4 tera operations per second (TOPS) at an industry-leading efficiency of 2 TOPS per watt, fully supporting TensorFlow Lite models. Backed by 1 GB of LPDDR4 memory, 8 GB of eMMC flash storage, and integrated wireless communication, the Coral SoM simplifies complex system design, enabling rapid prototyping and deployment of smart computer vision, predictive maintenance, and local AI solutions.

Key Features

• Google Edge TPU Coprocessor: Dedicated machine learning ASIC delivering 4 TOPS (int8) performance at 2 TOPS per watt for real-time inference.
• NXP i.MX 8M System-on-Chip: Powered by a quad-core ARM Cortex-A53 application processor and an auxiliary Cortex-M4F real-time core.
• Integrated GC7000 Lite GPU: Onboard graphics processor supporting advanced rendering and display output capabilities.
• TensorFlow Lite Framework Support: Fully optimized to execute compiled TensorFlow Lite machine learning models locally on the edge.
• 1 GB LPDDR4 System Memory: High-speed volatile memory array configured for smooth multi-tasking and fast data buffering.
• 8 GB eMMC Flash Storage: Non-volatile embedded memory for stable operating system booting, driver storage, and local file management.
• High-Speed Wireless 2×2 MIMO: Dual-band 802.11b/g/n/ac Wi-Fi module ensuring robust wireless connectivity in industrial environments.
• Bluetooth 4.2 Integration: Built-in short-range wireless standard for secure peripheral pairing and telemetry transmission.
• Custom Hardware Integration: Designed to mount effortlessly onto custom carrier boards and specialized application shields.
• Ultra-Compact Footprint: Precision-engineered board dimensions measuring only 48 mm × 40 mm × 5 mm for space-constrained designs.

Benefits

• Local Edge AI Processing: Executes complex machine learning models directly on the device without requiring constant cloud connectivity or data transmission.
• Exceptional Energy Efficiency: High TOPS-per-watt ratio allows advanced AI processing within strict thermal and power envelopes.
• Accelerated Time-to-Market: Fully integrated processing, memory, and wireless subsystems eliminate the complexity of high-speed board design.

Applications

• Industrial Computer Vision Systems: Real-time object detection, defect inspection, and automated optical sorting units on manufacturing lines.
• Smart Surveillance & Security Hubs: Edge-based facial recognition, intrusion detection, and local video analytics terminals.
• Predictive Maintenance Units: Vibration and acoustic data processing nodes monitoring industrial machinery health locally.
• Autonomous Robotics & AGVs: Real-time environmental perception and navigation processing for automated guided vehicles.
• Smart Retail & Kiosks: Automated inventory tracking, customer analytics, and interactive touch terminals with local AI behavior analysis.
• Edge IoT Data Gateways: Intelligent sensor aggregation hubs filtering and analyzing telemetry data at the network edge.

Package Includes

• 1 x Google Coral System-on-Module (SoM) – CORAL TPU SOM MODULE (1G)

Technical Specifications