{"product_id":"arducam-imx219-auto-focus-camera-module-drop-in-replacement-for-raspberry-pi-v2-camera-and-jetson-nano","title":"Arducam IMX219 Auto Focus Camera Module, Drop-In Replacement for Raspberry Pi V2 Camera and Jetson Nano","description":"\u003cmeta name=\"description\" content=\"Buy Arducam IMX219 Auto Focus Camera Module, Drop-In Replacement for Raspberry Pi V2 Camera and Jetson Nano 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\u003eArducam IMX219 Auto Focus Camera Module, Drop-In Replacement for Raspberry Pi V2 Camera and Jetson Nano\u003c\/h1\u003e\n\n\u003cp\u003eThe Arducam IMX219 Auto Focus Camera Module is a high-performance 8MP camera with motorized autofocus capability, designed as a direct replacement for the Raspberry Pi V2 Camera Module and compatible with NVIDIA Jetson Nano platforms. This module addresses the critical limitation of fixed-focus optics in standard Pi cameras by delivering dynamic focus adjustment for applications requiring variable subject distances and depth-of-field control. Professional developers, roboticists, and machine vision engineers utilize this module for real-time object detection, surveillance systems, and computer vision projects where focus accuracy directly impacts inference performance.\u003c\/p\u003e\n\n\u003ch2\u003eProduct Overview\u003c\/h2\u003e\n\u003cp\u003eThe Arducam IMX219 leverages the Sony IMX219 8MP sensor paired with a motorized focus mechanism controlled via I2C interface, enabling software-driven autofocus without hardware modifications. The module maintains the standard Raspberry Pi camera connector pinout, ensuring seamless integration with existing CSI\/DSI ribbon cable infrastructure on Raspberry Pi 3B+, 4, and Jetson Nano platforms. The autofocus system operates through contrast-detection algorithms, continuously scanning the focal plane to achieve sharp images across object distances from 10cm to infinity. Power consumption remains minimal at approximately 250mA during active focusing, with focus adjustment completing within 500-800ms depending on lighting conditions and subject contrast.\u003c\/p\u003e\n\n\u003cp\u003eThe optical design incorporates a 3.04mm focal length lens with f\/2.0 aperture, delivering superior low-light performance compared to standard Pi cameras while maintaining a 66-degree field of view suitable for general-purpose imaging and surveillance applications. The autofocus motor operates silently with no mechanical vibration, critical for time-lapse photography and video recording where focus hunting artifacts can degrade output quality. The module supports both MJPEG and H.264 video encoding at 1080p 30fps, with still image capture at full 8MP resolution. Integration with standard Python libraries like Picamera2 and OpenCV requires minimal code modifications, with focus control accessible through simple I2C commands.\u003c\/p\u003e\n\n\u003ch2\u003eKey Specifications\u003c\/h2\u003e\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\u003eAuto Focus Camera Module with CSI Ribbon Interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eArducam\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\u003eSensor\u003c\/td\u003e\n\u003ctd\u003eSony IMX219 8MP CMOS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eResolution\u003c\/td\u003e\n\u003ctd\u003e3280 x 2464 pixels (8 megapixels)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Formats\u003c\/td\u003e\n\u003ctd\u003e1080p 30fps H.264, MJPEG streaming\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocal Length\u003c\/td\u003e\n\u003ctd\u003e3.04mm with motorized autofocus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAperture\u003c\/td\u003e\n\u003ctd\u003ef\/2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eField of View\u003c\/td\u003e\n\u003ctd\u003e66 degrees diagonal\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus Range\u003c\/td\u003e\n\u003ctd\u003e10cm to infinity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus Adjustment Time\u003c\/td\u003e\n\u003ctd\u003e500-800ms\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003e250mA during autofocus operation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003eCSI\/DSI ribbon connector (Raspberry Pi standard), I2C control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompatibility\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 3B+, 4, Jetson Nano\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eMotorized Autofocus Mechanism: Contrast-detection autofocus with 500-800ms adjustment time enables sharp imaging across variable subject distances without manual lens adjustment or fixed aperture compromises\u003c\/li\u003e\n\u003cli\u003eDirect Drop-In Replacement: Standard CSI ribbon connector and identical form factor ensure plug-and-play compatibility with Raspberry Pi and Jetson Nano without hardware modifications or adapter boards\u003c\/li\u003e\n\u003cli\u003e8MP Sony IMX219 Sensor: Professional-grade CMOS sensor with 3280x2464 resolution delivers superior image quality and low-light performance compared to standard Pi camera modules\u003c\/li\u003e\n\u003cli\u003eSoftware-Controlled Focus: I2C interface allows programmable focus control through Python libraries, enabling automated focus routines, focus-stacking, and dynamic focus adjustment within application logic\u003c\/li\u003e\n\u003cli\u003eWide Compatibility: Supports both Raspberry Pi OS and NVIDIA Jetson Linux with standard Picamera2 and OpenCV libraries, minimizing development overhead\u003c\/li\u003e\n\u003cli\u003eSilent Operation: Brushless motor mechanism produces no audible noise or vibration, critical for time-lapse, video production, and surveillance applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eMachine Vision and Object Detection: Enable precise focus on moving objects in robotics applications and automated inspection systems where fixed-focus optics fail to maintain sharpness across variable working distances\u003c\/li\u003e\n\u003cli\u003eSurveillance and Security Systems: Deploy autofocus capability in CCTV setups to maintain image clarity across changing lighting conditions and subject distances, improving facial recognition and license plate OCR accuracy\u003c\/li\u003e\n\u003cli\u003eTime-Lapse and Macro Photography: Utilize focus-stacking capabilities through software control to capture extended depth-of-field images, ideal for nature documentation and product photography on Raspberry Pi platforms\u003c\/li\u003e\n\u003cli\u003eAutonomous Vehicles and Robotics: Integrate dynamic focus adjustment for real-time visual perception in navigation systems, obstacle detection, and environmental mapping where focus accuracy directly impacts autonomous decision-making\u003c\/li\u003e\n\u003cli\u003eScientific Research and Microscopy: Support variable magnification imaging and precise focal plane positioning in DIY microscopy setups and biological specimen analysis without mechanical focus mechanisms\u003c\/li\u003e\n\u003cli\u003eJetson Nano AI Projects: Combine with NVIDIA's edge AI frameworks for real-time computer vision inference with optimized focus performance, enhancing accuracy in face detection, gesture recognition, and custom ML model deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHow to Use\u003c\/h2\u003e\n\u003cp\u003eInstallation requires disconnecting power from your Raspberry Pi or Jetson Nano, gently lifting the CSI ribbon connector latch, removing the existing camera module ribbon, and inserting the Arducam IMX219 ribbon into the same connector with the blue stripe facing the USB ports. Reconnect the latch and power on the system. Enable the camera interface through raspi-config on Raspberry Pi or verify CSI camera support on Jetson Nano. Install Picamera2 library using pip install picamera2 and verify camera detection with libcamera-hello command. For autofocus control, import the Arducam focus library and initialize focus parameters with simple I2C commands: focus_mode set to autofocus, then call focus_trigger() within your capture loop. Test focus performance using libcamera-still with --autofocus-mode set to continuous or manual, adjusting focus sensitivity parameters based on your lighting environment and subject contrast.\u003c\/p\u003e\n\n\u003cp\u003eFor advanced applications, implement focus-stacking by capturing multiple images with focus positions incrementally adjusted through software, then blend images using OpenCV or PIL to create extended depth-of-field composites. Monitor focus adjustment time and motor current to optimize responsiveness in real-time video applications. In low-light scenarios below 100 lux, enable longer exposure times and increase ISO sensitivity to provide adequate contrast for autofocus algorithms. For Jetson Nano deployments, utilize GStreamer pipelines with autofocus-enabled camera source to stream video with dynamic focus adjustment to remote clients or local recording systems. Test focus reliability across your specific use case lighting conditions before deployment in production systems.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cdetails\u003e\n\u003csummary\u003eIs the Arducam IMX219 compatible with Raspberry Pi 5 and Compute Module 4?\u003c\/summary\u003e\n\u003cp\u003eThe Arducam IMX219 uses the standard 15-pin CSI ribbon connector found on Raspberry Pi 3B+, 4, and earlier models. Raspberry Pi 5 introduced a new 22-pin CSI connector, requiring an adapter board for compatibility. Compute Module 4 features the standard CSI connector and is fully compatible. Verify your specific Raspberry Pi model before purchase, as CSI connector variations exist across product generations.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eHow does autofocus performance compare in low-light conditions below 100 lux?\u003c\/summary\u003e\n\u003cp\u003eAutofocus relies on contrast detection, which requires sufficient scene contrast to function reliably. Below 100 lux, focus hunting may occur as the algorithm struggles to identify sharp transitions. Enable longer exposure times (shutter speeds above 1\/30s) and increase ISO sensitivity to 400-800 to provide adequate contrast. In extremely low-light scenarios below 50 lux, consider supplementing with infrared illumination or switching to manual focus mode with preset distance values for more predictable performance.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eCan I use the autofocus feature while recording video continuously?\u003c\/summary\u003e\n\u003cp\u003eYes, autofocus operates during video recording by setting focus_mode to continuous autofocus. However, focus adjustments introduce brief pauses (500-800ms) visible as focus breathing in video output. For smooth video production, use manual focus mode by setting focus position to a fixed distance appropriate for your scene depth, or enable autofocus only during scene transitions. Adjust focus_sensitivity parameters to reduce unnecessary refocusing on minor contrast changes within stable scenes.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eWhat is the minimum working distance for sharp focus?\u003c\/summary\u003e\n\u003cp\u003eThe Arducam IMX219 achieves sharp focus from 10cm minimum working distance to infinity. At distances closer than 10cm, the autofocus mechanism cannot achieve sharp focus due to optical design limitations. For macro photography requiring closer focus, consider using supplementary close-up lenses (typically 10-20 diopter achromatic doublets) mounted in front of the camera module to extend macro capability while maintaining autofocus functionality.\u003c\/p\u003e\n\u003c\/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eDoes autofocus consume significant power during operation?\u003c\/summary\u003e\n\u003cp\u003eAutofocus motor draws approximately 250mA during active focus adjustment, consuming power only during focus movement (500-800ms per adjustment). In continuous autofocus mode with stable scenes, power consumption remains minimal as the motor remains idle. For battery-powered applications, implement manual focus or periodic autofocus triggers rather than continuous autofocus to reduce average power consumption. Monitor total system power budget when combining autofocus with other power-intensive components like AI accelerators on Jetson Nano.\u003c\/p\u003e\n\u003c\/details\u003e\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\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\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\u003cul\u003e\n\u003cli\u003eGenuine Products: Sourced directly from authorized distributors with authentication\u003c\/li\u003e\n\u003cli\u003eExpert Team: Our technical team\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eBuy Arducam IMX219 Auto Focus Camera Module, Drop-In Replacement for Raspberry Pi V2 Camera and Jetson Nano Online in India\u003c\/h2\u003e\n\u003cp\u003ePurchase the \u003cstrong\u003eArducam IMX219 Auto Focus Camera Module, Drop-In Replacement for Raspberry Pi V2 Camera and Jetson Nano\u003c\/strong\u003e online at \u003ca href=\"https:\/\/theengineerstore.in\"\u003eThe Engineer Store\u003c\/a\u003e, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat.\u003c\/p\u003e\n\u003cp\u003eOur team in Bengaluru is available 24\/7 to support your journey from product selection to project completion.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":43847501643939,"sku":"TES-EV00006745","price":2766.92,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0628\/4479\/7091\/products\/cjvdjv-314x252.jpg?v=1703855526","url":"https:\/\/www.theengineerstore.in\/kn\/products\/arducam-imx219-auto-focus-camera-module-drop-in-replacement-for-raspberry-pi-v2-camera-and-jetson-nano","provider":"The Engineer Store","version":"1.0","type":"link"}