M5Stack UnitV2 AI Camera
Linux-based standalone AI camera with SigmaStar SSD202D dual-core Cortex-A7, GC4653 4MP sensor, 128MB RAM, WiFi, and USB-C. Runs Python and V-Training for edge AI.
$75.00
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Specifications
Components
SigmaStar dual-core ARM Cortex-A7 @ 1.2GHz SoC with hardware ISP, H.264/H.265 encoding, designed for smart camera applications
GalaxyCore 4-megapixel (2560x1440) CMOS image sensor with high sensitivity for AI vision applications
128MB DDR3 RAM integrated for Linux OS and AI model inference
Bus Interfaces
Overview
The M5Stack UnitV2 is a standalone AI camera unit powered by the SigmaStar SSD202D dual-core ARM Cortex-A7 processor running Linux. It features a GC4653 4MP image sensor and is designed for edge AI applications including object detection, face recognition, and image classification.
Key Features
- SigmaStar SSD202D dual-core Cortex-A7 @ 1.2GHz
- 128MB DDR3 RAM and 512MB NAND flash
- GC4653 4MP camera sensor (2560x1440)
- Built-in WiFi (2.4GHz)
- USB-C for power and data
- Runs Linux with Python support
- V-Training for custom model training
- Supports TensorFlow Lite and ONNX models
- Grove (HY2.0-4P) connector for peripherals
- microSD card slot for storage expansion
Use Cases
- Object detection and counting
- Face recognition and tracking
- Barcode/QR code scanning
- Industrial visual inspection
- Edge AI prototyping
- Machine vision applications
Use Cases
5Computer Vision
Image recognition, object detection, and ML inference using embedded cameras and AI-capable processors.
Edge AI
On-device machine learning inference at the edge, without cloud dependency
Object Detection
Face Recognition
On-device face detection and recognition using neural network accelerators.
Machine Learning
Where to Buy
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