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Arducam PiNSight

Introduction


Welcome to Arducam PiNSIGHT, where cutting-edge technology meets boundless creativity. PiNSIGHT is not just a camera; it’s your Vision AI Mate, meticulously designed for the Raspberry Pi 5. Unleash the power of intelligent vision with our seamlessly integrated camera modules and Luxonis OAK-SoM. Explore a world of possibilities as PiNSIGHT transforms your Raspberry Pi into a visionary powerhouse, seeing beyond the ordinary and redefining what’s possible.

Product


Product Image SKU Resolution Output Format Interface Features Focus Type Focus Distance Field of View(DxHxV) IR Sensitivity
B0505 12.3MP RAW10/YUV
/NV12/RGB
USB3.0 All-in-One Autofocus 15cm-infinite 81°(D)×69°(H)×55°(V) Integral IR-cut Filter

Quick Start Guide


Hardware


  • Product Composition Structure

Tips

This product is in an assembled state when sold. Please do not disassemble it at will to cause damage to the product.

Software


NOTE

Please use an SD card with a memory size of 16GB or above to burn the system.

  • Install Dependencies

wget https://github.com/ArduCAM/arducam_ppa/releases/download/v1.0.2/pinsight_install_dependencies.sh
chmod +x pinsight_install_dependencies.sh
./pinsight_install_dependencies.sh
  • File Description

The program downloads two DepthAI projects in the script execution directory:

The depthai file contains demo applications that can load different network models, create pipelines, record videos, etc.

Application Source Code:

The examples directory contains various examples:

There are many simple sample programs in examples. The dependency environments have been installed through insights_install_dependencies.sh, and the sample programs can be run directly.

Warning

Since PiNSIGHT does not have a stereo camera, all stereo vision related examples cannot be used. img

  • Sample Programs

Run depthai_demo

cd ./depthai
python depthai_demo.py
  1. The nnInput window on the left displays the actual image input to the model.
  2. The color window on the right displays the image captured by the actual camera
  3. The red box in the image is the object recognized by the model and its coordinates are drawn


RGB Preview Examples:

cd ./depthai-python/examples
python ColorCamera/rgb_preview.py


H264.H265 Coding Examples:

Example Position:

depthai-python/examples/VideoEncoder

Execute H265 Coding example:

cd ./depthai-python/examples/VideoEncoder
python rgb_encoding.py

H265 to mp4 conversion command:

ffmpeg -framerate 30 -i video.h265 -c copy video.mp4

What's Next


Streaming Example


More Examples