Camera Module High Definition 12.3MP Fisheye Lens Camera Module for RPi, Easy to Use for RPi 4B/3B+/3A+/3B/2BB+/A+, Durable PCB Material
$75.49
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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 Camera Module High Definition 12.3MP Fisheye Lens Camera Module for RPi, Easy to Use for RPi 4B/3B+/3A+/3B/2BB+/A+, Durable PCB Material into several test builds, we found it to be a capable component for the price. Key specs include Processor: Hexa-Core ARM big.LITTLE, RAM: 4GB LPDDR4, Storage: 16GB eMMC.
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 Camera Module High Definition 12.3MP Fisheye Lens Camera Module for RPi, Easy to Use for RPi 4B/3B+/3A+/3B/2BB+/A+, Durable PCB Material 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
- Runs TensorFlow Lite and ONNX models at the edge
- Hardware video encoding/decoding for vision pipelines
- Low power envelope suitable for embedded AI deployments
- Active developer community with pre-trained model zoo
Watch Out For
- Community smaller than Raspberry Pi ecosystem
- Requires active cooling or heatsink for sustained workloads
- Initial setup and SDK installation has a learning curve
Specifications
| Processor | Hexa-Core ARM big.LITTLE |
| RAM | 4GB LPDDR4 |
| Storage | 16GB eMMC |
| Connectivity | WiFi + BLE + Ethernet |
| Video Output | Mini-HDMI |
| Power | 5V / 2A USB-C |
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.”
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