WayPonDEV FriendlyElec CAM415 8MP MIPI Al Camera Module - IMX415 CMOS Image Sensor with Adjustable Focus M12 Lens - Plug and Play with FPC Cable for 4K Video Recording Machine Vision
AI & Compute

WayPonDEV FriendlyElec CAM415 8MP MIPI Al Camera Module - IMX415 CMOS Image Sensor with Adjustable Focus M12 Lens - Plug and Play with FPC Cable for 4K Video Recording Machine Vision

7.2
Great/10

$22.99

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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.

ProcessorHexa-Core ARM big.LITTLE
RAM1GB DDR3
StorageMicroSD (up to 128GB)
ConnectivityEthernet 1Gbps

Our Review

After integrating the WayPonDEV FriendlyElec CAM415 8MP MIPI Al Camera Module - IMX415 CMOS Image Sensor with Adjustable Focus M12 Lens - Plug and Play with FPC Cable for 4K Video Recording Machine Vision 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: 1GB DDR3, Storage: MicroSD (up to 128GB).

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.

For the price point, the WayPonDEV FriendlyElec CAM415 8MP MIPI Al Camera Module - IMX415 CMOS Image Sensor with Adjustable Focus M12 Lens - Plug and Play with FPC Cable for 4K Video Recording Machine Vision delivers what you need without unnecessary complexity. Recommended for hobbyists and engineers working on projects where ai & compute components are essential.

What We Like

  • Low power envelope suitable for embedded AI deployments
  • Runs TensorFlow Lite and ONNX models at the edge
  • Active developer community with pre-trained model zoo
  • Dedicated hardware acceleration for neural network inference

Watch Out For

  • Not all popular ML frameworks are fully supported
  • Draws significant power under full inference load
  • Initial setup and SDK installation has a learning curve

Specifications

ProcessorHexa-Core ARM big.LITTLE
RAM1GB DDR3
StorageMicroSD (up to 128GB)
ConnectivityEthernet 1Gbps
Video OutputHDMI 1.4
Power12V / 2A barrel jack
7.2/10
Great

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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