{"product_id":"5mp-camera-module-for-nanopi-duo2","title":"5MP Camera Module for NanoPi Duo2","description":"\u003cmeta name=\"description\" content=\"Buy 5MP Camera Module for NanoPi Duo2 online in India at best price from The Engineer Store, Bengaluru. Authentic product, 7-day warranty on manufacturing defects, fast delivery across India.\"\u003e\n\n\u003ch1\u003e5MP Camera Module for NanoPi Duo2\u003c\/h1\u003e\n\n\u003cp\u003eThe 5MP Camera Module for NanoPi Duo2 is a compact CSI ribbon cable-based image sensor designed specifically for the FriendlyElec NanoPi Duo2 single-board computer, enabling real-time video capture and image processing capabilities. Professional developers, roboticists, and embedded systems engineers use this module to build computer vision applications, IoT surveillance systems, and autonomous navigation projects that require lightweight, power-efficient imaging solutions. This camera module solves the critical challenge of integrating high-resolution visual input into ultra-compact ARM-based computing platforms without consuming excessive power or requiring additional USB bandwidth.\u003c\/p\u003e\n\n\u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\n\u003cp\u003eThe 5MP Camera Module operates through a parallel CSI (Camera Serial Interface) connection that directly interfaces with the NanoPi Duo2's dedicated camera port, delivering raw image data at up to 30 frames per second with minimal latency. The module features a fixed-focus lens optimized for 20cm to infinity focal range, utilizing a 1\/4-inch OmniVision sensor that captures 2592x1944 pixel resolution images. This direct integration eliminates the overhead of USB protocols, allowing the NanoPi Duo2's dual-core ARM Cortex-A7 processor to dedicate more computational resources to image processing algorithms rather than data transfer management.\u003c\/p\u003e\n\n\u003cp\u003eWhat distinguishes this camera module is its exceptional power efficiency, drawing only 250mA at 3.3V during operation, making it ideal for battery-powered robotics and remote monitoring applications. The module's compact 25x25mm form factor and flexible ribbon cable design enable integration into space-constrained enclosures, while the native driver support in Armbian and FriendlyWrt operating systems ensures plug-and-play functionality without complex kernel compilation. The fixed-focus design eliminates mechanical complexity, reducing failure points in field deployments while maintaining sharp image quality across typical working distances.\u003c\/p\u003e\n\n\u003ch2\u003eKey Specifications\u003c\/h2\u003e\n\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecification\u003c\/td\u003e\n\u003ctd\u003eDetails\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Type\u003c\/td\u003e\n\u003ctd\u003eCSI Camera Module for NanoPi Duo2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eFriendlyElec Official\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOrigin\u003c\/td\u003e\n\u003ctd\u003eOriginal\/Authentic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e7 days on manufacturing defects\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShipping\u003c\/td\u003e\n\u003ctd\u003e1-5 days from Bengaluru\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDelivery\u003c\/td\u003e\n\u003ctd\u003e7-8 days across India\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport\u003c\/td\u003e\n\u003ctd\u003e24\/7 via Email and WhatsApp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eResolution\u003c\/td\u003e\n\u003ctd\u003e5 Megapixels (2592x1944)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSensor Type\u003c\/td\u003e\n\u003ctd\u003e1\/4-inch OmniVision OV5640\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003eCSI Ribbon Cable (24-pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrame Rate\u003c\/td\u003e\n\u003ctd\u003e30 fps at full resolution\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003e250mA at 3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocal Length\u003c\/td\u003e\n\u003ctd\u003eFixed focus (20cm to infinity)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule Dimensions\u003c\/td\u003e\n\u003ctd\u003e25x25x9mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\n\u003cul\u003e\n\u003cli\u003e5MP OmniVision OV5640 sensor delivers 2592x1944 resolution images with excellent color accuracy and low-light performance suitable for outdoor surveillance and machine vision applications\u003c\/li\u003e\n\u003cli\u003eDirect CSI interface eliminates USB overhead, allowing real-time video streaming at 30fps while preserving CPU bandwidth for OpenCV processing and AI inference tasks\u003c\/li\u003e\n\u003cli\u003eUltra-low power consumption of 250mA enables extended battery operation in portable robotics, drone payloads, and remote IoT monitoring stations\u003c\/li\u003e\n\u003cli\u003eNative driver support in Armbian and FriendlyWrt ensures immediate functionality without kernel recompilation or complex configuration procedures\u003c\/li\u003e\n\u003cli\u003eFixed-focus design with 20cm minimum focusing distance optimizes for typical robotics applications while eliminating mechanical failure points\u003c\/li\u003e\n\u003cli\u003eCompact 25x25mm form factor with flexible ribbon cable allows integration into space-constrained enclosures and gimbal-mounted systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\n\u003cul\u003e\n\u003cli\u003eAutonomous robotics and drone systems requiring real-time visual odometry and obstacle detection using OpenCV or TensorFlow Lite on the NanoPi Duo2's ARM processor\u003c\/li\u003e\n\u003cli\u003eIoT-based surveillance and monitoring systems where low power consumption enables months of operation on battery backup in remote locations\u003c\/li\u003e\n\u003cli\u003eMachine vision inspection systems for quality control in manufacturing, leveraging the CSI interface for deterministic latency in time-critical applications\u003c\/li\u003e\n\u003cli\u003eEducational computer vision projects and embedded systems courses where students learn image processing fundamentals with hands-on hardware integration\u003c\/li\u003e\n\u003cli\u003eWildlife monitoring and environmental sensing applications where compact form factor and low power enable long-term unattended deployment\u003c\/li\u003e\n\u003cli\u003eGesture recognition and human-computer interaction systems utilizing the NanoPi Duo2's dual-core processor for real-time pose estimation\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHow to Use\u003c\/h2\u003e\n\n\u003cp\u003eTo integrate the 5MP Camera Module with your NanoPi Duo2, first ensure the single-board computer is powered off. Locate the 24-pin CSI camera connector on the NanoPi Duo2 motherboard, typically positioned near the USB ports. Gently lift the retention clip on the CSI connector, insert the ribbon cable with the blue side facing downward and the metal contacts aligned with the connector pins, then press the retention clip firmly to secure the cable. Power on the NanoPi Duo2 and verify camera detection by running the command lsmod to confirm the ov5640 kernel module loads automatically.\u003c\/p\u003e\n\n\u003cp\u003eFor software integration, install the required camera libraries using apt-get install python3-opencv and apt-get install libcamera-dev. Test basic functionality with fswebcam or libcamera-hello commands to verify image capture. For advanced applications, utilize Python OpenCV bindings to access the camera through \/dev\/video0 device node, or employ the libcamera API for lower-level sensor control. Configure camera parameters such as exposure, white balance, and ISO through v4l2-ctl command-line tools before deploying production code. Ensure adequate cooling around the camera module in high-temperature environments, as the OV5640 sensor performance degrades above 60 degrees Celsius.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eIs this camera module compatible with NanoPi Neo or other FriendlyElec boards?\u003c\/summary\u003e\n\u003cp\u003eThe 5MP Camera Module is specifically designed for NanoPi Duo2 with its dedicated CSI connector pinout. While other FriendlyElec boards like NanoPi Neo2 and NanoPi 4 have CSI connectors, they use different ribbon cable configurations and may require adapter boards. We recommend verifying connector compatibility with your specific board model before purchase. Contact our technical team for compatibility guidance on other FriendlyElec platforms.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat is the minimum focusing distance and can I use this for macro photography?\u003c\/summary\u003e\n\u003cp\u003eThe 5MP Camera Module features a fixed-focus design optimized for 20cm minimum focusing distance to infinity, making it unsuitable for macro photography below 20cm. The fixed-focus lens is calibrated for typical robotics and surveillance applications where subjects are positioned beyond 20cm. For macro work, you would need to modify the lens assembly or use external magnification optics, which we do not recommend as it may void the warranty.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eCan I use this camera module with Python OpenCV on the NanoPi Duo2?\u003c\/summary\u003e\n\u003cp\u003eYes, the 5MP Camera Module integrates seamlessly with Python OpenCV through the \/dev\/video0 device interface. After installing python3-opencv, you can capture frames using cv2.VideoCapture(0) and process them with standard OpenCV functions. The NanoPi Duo2's dual-core ARM Cortex-A7 processor running at 1.2GHz can handle real-time processing of 30fps video streams for edge detection, color detection, and basic machine learning inference using TensorFlow Lite quantized models.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eDoes the camera module support night vision or infrared imaging?\u003c\/summary\u003e\n\u003cp\u003eThe standard 5MP Camera Module uses a visible-light OV5640 sensor without infrared sensitivity. However, the sensor includes an IR-cut filter that can be physically removed to enable near-infrared imaging when paired with IR LED illumination. This modification requires careful disassembly and is not recommended unless you have experience with camera sensor maintenance. We offer specialized IR-enabled camera modules separately if night vision capability is essential for your application.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhen will I receive my order?\u003c\/summary\u003e\n\u003cp\u003eOrders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eWhat is your return and warranty policy?\u003c\/summary\u003e\n\u003cp\u003eWe offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003cdetails\u003e\n\u003csummary\u003eAre bulk discounts available?\u003c\/summary\u003e\n\u003cp\u003eYes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.\u003c\/p\u003e\n\u003c\/details\u003e\n\n\u003ch2\u003eWhy Buy from The Engineer Store\u003c\/h2\u003e\n\n\u003cul\u003e\n\u003cli\u003eGenuine Products: Sourced directly from authorized FriendlyElec distributors with authentication certificates\u003c\/li\u003e\n\u003cli\u003eExpert Team: Our technical team validates every product before listing and provides integration guidance\u003c\/li\u003e\n\u003cli\u003eFast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse\u003c\/li\u003e\n\u003cli\u003ePan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata\u003c\/li\u003e\n\u003cli\u003ePayment Options: COD, UPI, credit\/debit cards, net banking, EMI available\u003c\/li\u003e\n\u003cli\u003eTechnical Support: 24\/7 expert guidance via email and WhatsApp for setup and troubleshooting\u003c\/li\u003e\n\u003cli\u003eReturns: 7-day return policy on manufacturing defects only\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eBuy 5MP Camera Module for NanoPi Duo2 Online in India\u003c\/h2\u003e\n\n\u003cp\u003ePurchase the \u003cstrong\u003e5MP Camera Module for NanoPi Duo2\u003c\/strong\u003e online at \u003ca href=\"https:\/\/theengineerstore.in\"\u003eThe Engineer Store\u003c\/a\u003e, India's trusted source for genuine electronics and embedded systems components. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on \u003cstrong\u003e5MP Camera Module for NanoPi Duo2\u003c\/strong\u003e with fast shipping and expert technical support for your computer vision and robotics projects.\u003c\/p\u003e\n\n\u003cp\u003eOur team in Bengaluru is available 24\/7 to support your journey from product selection through system integration and deployment. Whether you are building autonomous robots, IoT surveillance systems, or machine vision applications, we provide authentic FriendlyElec components with comprehensive technical guidance to ensure project success.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":43856881811619,"sku":"TES-EV00082671","price":1102.4,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0628\/4479\/7091\/products\/Friend_202-228x228.jpg?v=1704282241","url":"https:\/\/www.theengineerstore.in\/kn\/products\/5mp-camera-module-for-nanopi-duo2","provider":"The Engineer Store","version":"1.0","type":"link"}