
GC0308(1/6.5") 0.3 Megapixel Camera Module Built-inMacro Infrared Camera Module Mini Camera Module Camera Module 50 Degree Lens
$18.16
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“A budget-friendly option that covers the basics. Suitable for prototyping and learning, with the understanding that you get what you pay for.”
Our Review
After integrating the GC0308(1/6.5") 0.3 Megapixel Camera Module Built-inMacro Infrared Camera Module Mini Camera Module Camera Module 50 Degree Lens into several test builds, we found it to be a capable component for the price. Key specs include Processor: RISC-V 1.0GHz, RAM: 512MB DDR3, Storage: 8GB eMMC + MicroSD.
Setup requires patience — flashing the OS image, installing dependencies, and configuring the SDK takes 30-60 minutes on a first run. Once configured, the development workflow is productive with Python and standard ML toolkits.
Inference performance matched expectations for the hardware tier. Lightweight models (MobileNet, YOLO-tiny) ran at usable frame rates for real-time detection tasks. Larger models may need quantization to fit in available memory.
Overall, the GC0308(1/6.5") 0.3 Megapixel Camera Module Built-inMacro Infrared Camera Module Mini Camera Module Camera Module 50 Degree Lens fills its role well. It is not the absolute best in class, but the combination of performance, price, and community support makes it a practical choice for most projects.
What We Like
- Hardware video encoding/decoding for vision pipelines
- GPIO header for connecting sensors and actuators
- Linux-based OS supports Python and standard ML frameworks
- Low power envelope suitable for embedded AI deployments
Watch Out For
- Camera interface limited to specific sensor modules
- Limited RAM constrains large model deployment
- Community smaller than Raspberry Pi ecosystem
Specifications
| Processor | RISC-V 1.0GHz |
| RAM | 512MB DDR3 |
| Storage | 8GB eMMC + MicroSD |
| Connectivity | Ethernet 1Gbps |
| Video Output | HDMI 2.0 4K |
| Power | 12V / 2A barrel jack |
The Verdict
“A budget-friendly option that covers the basics. Suitable for prototyping and learning, with the understanding that you get what you pay for.”



