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Arducam PiNSIGHT 12MP Vision AI Mate for Raspberry Pi 5 B0505

  • $189.00
  • Save $10
  • (Exc. GST)

  • In stock with a short lead time. Ship within 5-12 days

  • $ We Ship from our stock in AU (Perth) with pickup option, and Prices are Exc. GST
  • $ We Offer Quantity Discounts for Large Orders 10+ qty (Request for Quote)
  • $ We Accept Purchase Orders & Net 30 Payment for Eligible Accounts


    Arducam PiNSIGHT 12MP Vision AI Mate for Raspberry Pi 5 B0505

    • Intelligent Vision for Raspberry Pi
    • Cost-Effective AI Camera Solution
    • High Computing Power with Low Power Consumption
    • Easy Adaption and Assembly
    • Stylish Look and Shape

    Arducam PiNSIGHT is an AI marvel, seamlessly integrating with Raspberry Pi to create an intelligent vision hub. Its backward compatibility with Pi 4B/3B+ opens doors to limitless possibilities, transforming your Raspberry Pi into a visionary powerhouse for advanced AI applications.

    The heart of PiNSIGHT lies in its collaboration with the cutting-edge OAK-SoM. With hardware-based encoding capabilities (H.264, H.265, MJPEG), this embedded system ensures superior efficiency and faster video processing. Paired with the Arducam 12MP camera module, it optimizes power consumption, providing a powerful yet energy-efficient solution for intelligent vision applications.

    PiNSIGHT's 4K camera module takes visual clarity to new heights. With encoding support at 4K/30FPS and 1080P/60FPS, it delivers unparalleled performance. This hardware synergy not only guarantees real-time precision but also enables parallel processing for handling multiple video streams. PiNSIGHT empowers your Raspberry Pi with AI capabilities that redefine the boundaries of intelligent vision.


    • Face Recognition
    • Fatigue Detection
    • Object Recognition
    • Anomaly Detection
    • Pose Estimation Example


    • Seamless Integration: PiNSIGHT effortlessly transforms Raspberry Pi into an AI powerhouse, offering expanded possibilities for intelligent vision. It's backward compatible with Pi 4B/3B+.
    • OpenVINO Harmony: PiNSIGHT seamlessly integrates with OpenVINO, enabling flexible deployment of advanced AI capabilities in a diverse ecosystem.
    • Efficient Hardware Encoding: OAK-SoM enables hardware-based encoding (H.264, H.265, MJPEG), ensuring superior efficiency, faster video processing, and optimized power consumption when paired with the Arducam 12MP camera module.
    • High Performance, Low Power: PiNSIGHT delivers consistent real-time performance with dedicated hardware acceleration, ideal for power-constrained applications, supporting parallel processing of multiple video streams.
    • Simple and Affordable: PiNSIGHT's easy adaptation to Raspberry Pi 5, sleek design, and cost-effectiveness make it the prime choice for an excellent and budget-friendly AI camera solution.


    Image Sensor
    Still Resolution 12.3 Megapixels
    Video Modes 4056×3040@30fps, 3840×2160@30fps, 1920×1080@60fps
    Output Format RAW10/YUV/NV12/RGB
    Sensor Resolution 4056 x 3040 pixels
    Sensor image area 6.287mm x 4.712 mm (7.9mm diagonal)
    Pixel Size 1.55 µm x 1.55 µm
    Optical Size 1/2.3"
    IR Sensitivity Integral IR-cut Filter, visible light only
    Focus Type Auto Focus
    Focal Length 4.81mm
    F.NO F1.8
    Field of View(FOV) 81°(D)×69°(H)×55°(V)
    Lens Mount Stock Lens
    Distortion <1%
    Default Focus Range 15cm-∞
    Electrical and Mechanical
    Overall Size 88.5×58×10 mm
    Operating Temp. -20°C and 50°C
    Power Requirements 5V 1A

    Package Including

    • 1× Arducam Pinsight AI Mate
    • 1× 15cm USB3.0 TyPE-C Cable


    • The Raspberry Pi Board is not included in the package.
    • Performance with Rpi 3 and below might be affected.
    • To ensure optimal performance, an official Raspberry Pi 25W power supply is recommended.
    • Other power supplies may cause the Pi 5 to limit downstream USB current. For power supplies under 25W, enable usb_max_current_enable=1. For power supplies with POE HAT, set PSU_MAX_CURRENT=5000.
    • Tripod is not included in the package




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