M5Stack UnitV2 AI Camera for Edge Computing SSD202D TinyML

The M5Stack UnitV2 is a standalone, Linux-based AI camera module for edge computing applications and TinyML projects. The processor used is the SigmaStar SSD202D with an integrated dual-core Cortex-A7 @ 1.2 GHz, complemented by 128 MB DDR3 RAM and 512 MB NAND Flash. The device runs on an embedded Linux operating system and comes with twelve built-in AI recognition functions, including face recognition, QR code decoding, and object tracking.

Features:

• SigmaStar SSD202D dual-core Cortex-A7 @ 1.2 GHz with embedded Linux, 128 MB DDR3, and 512 MB NAND Flash for powerful edge AI processing directly on the device
• Twelve pre-installed AI recognition functions from factory – from face recognition, QR coding to object tracking – ready to use without the need for model development
• GC2145 1080p camera with 68° field of view and USB-LAN connectivity for easy PC integration with automatic network detection
• WiFi 2.4 GHz for wireless configuration, debugging, and live stream preview directly in the browser without additional software
• TinyML-capable – deploy your own models from Edge Impulse, TensorFlow Lite, or PyTorch on the embedded Linux
• Integrated microphone, cooling fan for continuous operation, and a 32 GB microSD card included for immediate use

Usage Examples:

• Industrial image processing – quality control, barcode scanning, and object classification on the conveyor belt without cloud connection
• Face recognition and access control with local processing for privacy-compliant applications
• TinyML research and education – train and test your own models directly on the Linux device
• Smart home camera projects with WiFi streaming and automatic motion or person detection
• Autonomous robotics and FPV drones with on-board real-time image recognition without external computing unit

Documentation:

• M5Stack Wiki – UnitV2
• Official M5Stack Forum

Specifications:

• Manufacturer: M5Stack
• Manufacturer SKU: U078-D
• SoC: SigmaStar SSD202D
• CPU: Dual-core ARM Cortex-A7, 1.2 GHz
• RAM: 128 MB DDR3
• Flash: 512 MB NAND
• Operating System: Embedded Linux
• Camera: GC2145, 1080p
• Field of View: 68°
• WiFi: 2.4 GHz
• Microphone: Integrated
• Cooling Fan: Integrated
• USB: USB-C (USB-LAN + Power Supply)
• Storage Expansion: microSD (32 GB included)
• Programming Environment: Python, UIFlow, Linux Shell, Edge Impulse
• AI Functions from Factory: QR Code, Face Detection/Recognition, Line Following, Motion, Shape Matching, Streaming, Color Classification, Color Tracking, Object Tracking, Shape Detection, Custom Detection
• Product Weight: 18.0 g
• Package Dimensions: 157 × 38 × 38 mm
• Gross Weight: 62 g

Scope of Delivery:

• 1× M5Stack UnitV2 AI Camera for Edge Computing SSD202D TinyML
• 1× 32 GB microSD Card
• 1× USB-C Cable 50 cm
• 1× Stand
• 1× Back Clip