InnoMaker 16MP(4656x3496 USB2.0 UVC Camera Phase Detection Auto-Focus 1/2.8" IMX298 HDR Senso Plug & Play for PC Raspberry Pi Jetson Nano and SBCs Support Windows Linux Android Mac OS
$52.51
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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
The InnoMaker 16MP(4656x3496 USB2.0 UVC Camera Phase Detection Auto-Focus 1/2.8" IMX298 HDR Senso Plug & Play for PC Raspberry Pi Jetson Nano and SBCs Support Windows Linux Android Mac OS delivers solid performance for its category. With GPU: 472 CUDA cores + 16 Tensor cores, CPU: Quad-Core ARM Cortex-A57, RAM: 8GB LPDDR5, it covers the essentials that most makers and engineers need for their projects.
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.
The InnoMaker 16MP(4656x3496 USB2.0 UVC Camera Phase Detection Auto-Focus 1/2.8" IMX298 HDR Senso Plug & Play for PC Raspberry Pi Jetson Nano and SBCs Support Windows Linux Android Mac OS earns its place in the parts bin. Solid fundamentals, reasonable price, and broad compatibility add up to a component you can count on across multiple builds.
What We Like
- Active developer community with pre-trained model zoo
- Runs TensorFlow Lite and ONNX models at the edge
- Low power envelope suitable for embedded AI deployments
- CSI camera interface for real-time computer vision
Watch Out For
- Not all popular ML frameworks are fully supported
- Community smaller than Raspberry Pi ecosystem
- Camera interface limited to specific sensor modules
Specifications
| GPU | 472 CUDA cores + 16 Tensor cores |
| CPU | Quad-Core ARM Cortex-A57 |
| RAM | 8GB LPDDR5 |
| AI Performance | 40 TOPS |
| Storage | 32GB eMMC |
| Power | 5-10W |
| Interfaces | USB 3.0, DisplayPort, PCIe, CSI |
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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