{"title":"Camera\/Embedded Camera - I2C Camera","description":"\u003cp\u003eAn \u003cstrong data-start=\"3\" data-end=\"17\"\u003eI2C Camera\u003c\/strong\u003e connects to embedded systems like \u003cstrong data-start=\"52\" data-end=\"68\"\u003eRaspberry Pi\u003c\/strong\u003e, \u003cstrong data-start=\"70\" data-end=\"81\"\u003eArduino\u003c\/strong\u003e, or \u003cstrong data-start=\"86\" data-end=\"95\"\u003eESP32\u003c\/strong\u003e using the \u003cstrong data-start=\"106\" data-end=\"122\"\u003eI2C protocol\u003c\/strong\u003e, which requires two wires (SDA for data, SCL for clock). It is \u003cstrong data-start=\"186\" data-end=\"201\"\u003eeasy to use\u003c\/strong\u003e, supports multiple devices on the same bus, and is \u003cstrong data-start=\"253\" data-end=\"266\"\u003elow power\u003c\/strong\u003e and \u003cstrong data-start=\"271\" data-end=\"282\"\u003ecompact\u003c\/strong\u003e, making it perfect for small, battery-powered projects. Common uses include \u003cstrong data-start=\"359\" data-end=\"376\"\u003eimage capture\u003c\/strong\u003e in Raspberry Pi and Arduino projects, \u003cstrong data-start=\"415\" data-end=\"443\"\u003erobotic object detection\u003c\/strong\u003e, and \u003cstrong data-start=\"449\" data-end=\"471\"\u003esmart home devices\u003c\/strong\u003e like security cameras.\u003c\/p\u003e","products":[{"product_id":"ov5640camera","title":"Waveshare OV5640 Camera Board A 5MP Image Sensor Module","description":"\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWaveshare OV5640 Camera Board A 5MP Image Sensor Module\u003c\/strong\u003e is a compact camera module built around the \u003cstrong\u003eOV5640\u003c\/strong\u003e image sensor. It provides up to \u003cstrong\u003e5 megapixel\u003c\/strong\u003e image capture with maximum output resolution of \u003cstrong\u003e2592 × 1944\u003c\/strong\u003e, making it suitable for embedded vision projects, camera experiments, MCU imaging systems, and compatible development boards that support OV5640 style camera interfaces. The module uses an \u003cstrong\u003eSCCB control interface\u003c\/strong\u003e and an \u003cstrong\u003e8-bit DVP data interface\u003c\/strong\u003e, and supports multiple common video and image output formats.\u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eOV5640 image sensor\u003c\/strong\u003e with up to 5MP capture capability.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaximum output resolution\u003c\/strong\u003e up to 2592 × 1944.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1.4um × 1.4um pixels\u003c\/strong\u003e with OmniBSI technology for high sensitivity and low noise.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutomatic image controls\u003c\/strong\u003e including AEC, AWB, ABF, and ABLC.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eImage quality adjustment\u003c\/strong\u003e for saturation, hue, gamma, sharpness, and lens correction.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple output formats\u003c\/strong\u003e including YUV, RGB565\/555\/444, CCIR656, RAW RGB, and compressed data.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSCCB control interface\u003c\/strong\u003e compatible with I2C style control access.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e8-bit DVP interface\u003c\/strong\u003e for embedded camera connections.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOV5640 Camera Board A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSensor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOV5640\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePixels\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5 megapixel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum Resolution\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2592 × 1944\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePixel Size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.4um × 1.4um\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCCD Size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1\/4 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAperture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eF2.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFocal Length\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.8mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDiagonal Angle\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e63 degree\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOutput Formats\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eYUV(422\/420), YCbCr422, RGB565\/555\/444, CCIR656, RAW RGB, compressed data\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Voltage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eControl Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSCCB (I2C compatible)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eData Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDVP 8-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e35.70mm × 23.90mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEmbedded vision projects\u003c\/strong\u003e using compatible MCU or processor boards.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eImage capture and video experiments\u003c\/strong\u003e in custom camera systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI vision and object detection prototypes\u003c\/strong\u003e when paired with suitable host hardware.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEducational camera interface projects\u003c\/strong\u003e involving DVP and SCCB communication.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi and controller integration experiments\u003c\/strong\u003e with compatible camera interface support.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eProduct List\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eOV5640 Camera Board A x1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eOther Content\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/OV5640-Camera-Board-size.jpg?v=1712744896\" alt=\"Waveshare OV5640 Camera Board A dimensions\"\u003e\u003c\/p\u003e\n\u003cp\u003eThe dimensions image is useful when fitting the OV5640 Camera Board A into a compact enclosure or matching it to a custom embedded carrier board.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/1_0a626d3a-55fa-468e-9a65-d736224d0a78.png?v=1779244639\" alt=\"Waveshare OV5640 Camera Board A front view\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/2_5918ec82-ec57-454f-bf3c-22baa2f45ff4.png?v=1770800587\" alt=\"Waveshare OV5640 Camera Board A angled view\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/3_872e7361-3953-4f6d-87c9-9e21d06a3c05.png?v=1770800584\" alt=\"Waveshare OV5640 Camera Board A rear view\"\u003e\u003c\/p\u003e\n\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/OV5640_Camera_Board_(A)\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eWiki \/ User Guide\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.waveshare.com\/w\/upload\/d\/d7\/RPi-Camera-Manual.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eRaspberry Pi Camera Manual\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.waveshare.com\/upload\/1\/14\/OV5640_datasheet.pdf\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eOV5640 Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/CM4-IO-BASE-A\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eCompatible CM4 IO Base Reference\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eIs this a USB webcam?\u003c\/strong\u003e\u003cbr\u003eNo. This is an embedded camera module with an \u003cstrong\u003e8-bit DVP interface\u003c\/strong\u003e and \u003cstrong\u003eSCCB control interface\u003c\/strong\u003e, not a USB camera.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat makes Board A different from other OV5640 modules?\u003c\/strong\u003e\u003cbr\u003eWaveshare offers multiple OV5640-based camera boards, so the key difference is usually the \u003cstrong\u003eboard layout\u003c\/strong\u003e, \u003cstrong\u003econnector style\u003c\/strong\u003e, and how it matches the target carrier or controller board.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat kind of host hardware is required?\u003c\/strong\u003e\u003cbr\u003eYou need a development board or processor platform that supports \u003cstrong\u003eOV5640 style camera input\u003c\/strong\u003e over DVP and can configure the sensor through \u003cstrong\u003eSCCB\u003c\/strong\u003e.\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":43474578768070,"sku":"Waveshare-13926","price":22.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/1_0a626d3a-55fa-468e-9a65-d736224d0a78.png?v=1779244639"},{"product_id":"ov2640-camera-board","title":"Waveshare OV2640 Camera Board (1622x1200)","description":"\u003ch2\u003e\u003cstrong\u003eThis product is now sold out. To purchase, please click the \u003cspan role=\"button\" data-url=\"ca:\/\/s?q=I_need_the_purchase_link\" tabindex=\"0\"\u003elink below\u003c\/span\u003e.\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003ca href=\"https:\/\/upenelab.com\/products\/ov5640camera\" target=\"_blank\" rel=\"noopener\"\u003e\u003cstrong\u003ehttps:\/\/upenelab.com\/products\/ov5640camera\u003c\/strong\u003e\u003c\/a\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWaveshare OV2640 Camera Board\u003c\/strong\u003e is a compact \u003cstrong\u003e2 megapixel digital camera module\u003c\/strong\u003e based on the \u003cstrong\u003eOV2640\u003c\/strong\u003e image sensor. With support for \u003cstrong\u003eUXGA 1622 × 1200\u003c\/strong\u003e resolution, multiple video output formats, and direct camera interface integration, this \u003cstrong\u003ecamera board\u003c\/strong\u003e is suitable for embedded imaging, robotics vision, image capture, smart hardware, and microcontroller camera experiments.\u003c\/p\u003e\n\u003cp\u003eThe \u003cstrong\u003eOV2640 Camera Board\u003c\/strong\u003e provides a practical balance between image quality, size, and cost. It supports common output formats such as \u003cstrong\u003eYUV\u003c\/strong\u003e, \u003cstrong\u003eRGB565\u003c\/strong\u003e, and \u003cstrong\u003e8-bit compressed data\u003c\/strong\u003e, and is suitable for projects requiring image acquisition with \u003cstrong\u003eRaspberry Pi\u003c\/strong\u003e, \u003cstrong\u003eSTM32\u003c\/strong\u003e, and other development platforms that support camera interfacing. This makes it a strong option for entry-level machine vision, DIY camera systems, and embedded image-processing development.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/1_27cbc3e3-acf3-4f86-9650-a74f6c5de6a8.png?v=1770801615\" alt=\"Waveshare OV2640 Camera Board main image\"\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2 megapixel OV2640 camera module\u003c\/strong\u003e for compact embedded image capture\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eUXGA 1622 × 1200 resolution\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eSupports YUV(422\/420), YCbCr422, RGB565\/555, and 8-bit compressed output\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3.3V power supply\u003c\/strong\u003e with \u003cstrong\u003e1.7V to 3.3V I\/O logic level\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eImage transfer rate up to 15fps at UXGA \/ SXGA\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 30fps at SVGA\u003c\/strong\u003e and \u003cstrong\u003e60fps at CIF\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact low-cost camera board\u003c\/strong\u003e for embedded vision projects\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eSuitable for robotics, camera experiments, and microcontroller imaging\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cstrong\u003eSpecifications\u003c\/strong\u003e\u003c\/h4\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eBrand\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003eWaveshare\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003ePart Number\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003eOV2640 Camera Board\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eSensor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003eOV2640\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003ePixels\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e2 Megapixel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eArray Size\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003eUXGA 1622 × 1200\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e3.3V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eI\/O Voltage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e1.7V ~ 3.3V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eOutput Formats\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003eYUV(422\/420), YCbCr422, RGB565\/555, 8-bit compressed data\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eMax Image Transfer Rate\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003eUXGA\/SXGA 15fps, SVGA 30fps, CIF 60fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eDimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e35.7 × 23.9 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003e\u003cstrong\u003eField of View\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 8px; border: 1px solid #ddd;\"\u003eAbout 65 degrees\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEmbedded image capture\u003c\/strong\u003e in MCU and SoC projects\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotics vision\u003c\/strong\u003e and basic machine vision experiments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDIY camera systems\u003c\/strong\u003e and image acquisition prototypes\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eSTM32 and other camera-interface development boards\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEducational vision projects\u003c\/strong\u003e for image sensor learning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart hardware\u003c\/strong\u003e that needs compact camera integration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cstrong\u003eProduct List\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eOV2640 Camera Board × 1\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cstrong\u003eOther Content\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eCompact 2MP imaging module\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe \u003cstrong\u003eWaveshare OV2640 Camera Board\u003c\/strong\u003e is designed as a low-cost digital camera module that makes embedded image capture easier for custom electronics and development projects. It is especially useful when you need a simple camera board without stepping up to higher-cost autofocus or flash-equipped modules.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSelection positioning\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWithin the Waveshare camera board family, the \u003cstrong\u003eOV2640 Camera Board\u003c\/strong\u003e sits in the compact and lower-cost segment, making it suitable for developers who want a practical \u003cstrong\u003e2MP camera module\u003c\/strong\u003e for experimentation, prototyping, and embedded imaging.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDevelopment ecosystem\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis \u003cstrong\u003ecamera board\u003c\/strong\u003e is often used in embedded projects and microcontroller camera applications. If you want related background reading, your site also has useful ecosystem articles on \u003ca href=\"https:\/\/upenelab.com\/blogs\/ecosystem\/waveshare\" rel=\"noopener\" target=\"_blank\"\u003eWaveshare\u003c\/a\u003e and \u003ca href=\"https:\/\/upenelab.com\/blogs\/ecosystem\/raspberry-pi-single-board-and-modular-computers-based-on-arm-architecture-and-running-the-linux-operating-system\" rel=\"noopener\" target=\"_blank\"\u003eRaspberry Pi\u003c\/a\u003e.\u003c\/p\u003e\n\u003ch4\u003e\u003cstrong\u003eResources\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/OV2640_Camera_Board\" rel=\"noopener\" target=\"_blank\"\u003eWiki\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.waveshare.com\/upload\/b\/bf\/OV2640-Camera-Board-Schematic.pdf\" rel=\"noopener\" target=\"_blank\"\u003eSchematic\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.waveshare.com\/upload\/8\/85\/OV2640-Camera-Board-code.zip\" rel=\"noopener\" target=\"_blank\"\u003eDemo Code\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.waveshare.com\/upload\/5\/58\/OV2640-Camera-Board-Manual.pdf\" rel=\"noopener\" target=\"_blank\"\u003eUser Manual\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.waveshare.com\/upload\/e\/e3\/OV2640.pdf\" rel=\"noopener\" target=\"_blank\"\u003eOV2640 Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/OV_Camera_Board_Datasheets\" rel=\"noopener\" target=\"_blank\"\u003eOV Camera Board Datasheets\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/documentation\/\" rel=\"noopener\" target=\"_blank\"\u003eRaspberry Pi Documentation\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cstrong\u003eFAQ\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eWhat resolution does the OV2640 Camera Board support?\u003c\/strong\u003e\u003cbr\u003eThe \u003cstrong\u003eWaveshare OV2640 Camera Board\u003c\/strong\u003e supports up to \u003cstrong\u003eUXGA 1622 × 1200\u003c\/strong\u003e resolution.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat output formats are available?\u003c\/strong\u003e\u003cbr\u003eThis camera board supports \u003cstrong\u003eYUV(422\/420)\u003c\/strong\u003e, \u003cstrong\u003eYCbCr422\u003c\/strong\u003e, \u003cstrong\u003eRGB565\/555\u003c\/strong\u003e, and \u003cstrong\u003e8-bit compressed output\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat kinds of projects is this camera board suitable for?\u003c\/strong\u003e\u003cbr\u003eThe \u003cstrong\u003eOV2640 Camera Board\u003c\/strong\u003e is suitable for embedded imaging, robotics vision, camera experiments, and microcontroller-based image acquisition projects.\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":43675903787206,"sku":"Waveshare-8532","price":10.85,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/4_f5ff892d-07c4-4945-b97b-1cee5cdae759.png?v=1779244151"},{"product_id":"huskylens-ai-camera","title":"Gravity Huskylens AI Camera","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003ca href=\"https:\/\/upenelab.com\/blogs\/learn\/raspberry-pi-ai-camera-vs-gravity-huskylens-ai-camera\" rel=\"noopener\" style=\"color: rgb(43, 0, 255);\" target=\"_blank\"\u003eRead our article\u003c\/a\u003e\u003c\/span\u003e about the comparison of Gravity Huskylens AI Camera and the Raspberry Pi AI Camera.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e   \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/Kv1HiN7nmg4?si=M0mdq76wxqylCD6C\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e   \u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cstrong\u003eGravity Huskylens AI Camera: The Smart Vision Sensor for AI-Powered Projects\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e   \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/97c0591d3821b7e31b0a57c39f3f08b1.png?v=1728054566\"\u003e\u003c\/p\u003e\n\u003cp\u003e    \u003c\/p\u003e\n\u003cp\u003eThe \u003cstrong\u003eGravity Huskylens AI Camera\u003c\/strong\u003e is an innovative, easy-to-use vision sensor designed to bring artificial intelligence to a wide variety of projects. Whether you’re a beginner looking to experiment with AI or an advanced developer wanting to integrate machine learning into your DIY creations, Huskylens simplifies AI-powered object detection, face recognition, and more—all without needing to write complex code.\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/1_aa4aeca8-1766-4e67-a892-eb279da9016c.jpg?v=1728054584\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e   \u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eAI Capabilities Without the Hassle\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eUnlike traditional vision sensors that require extensive programming, Huskylens comes with built-in machine learning algorithms that allow you to recognize objects, faces, lines, colors, and tags at the press of a button. Simply point the camera at an object or face, press the learning button, and Huskylens will remember it for future detection. This makes the camera incredibly versatile for both beginners and seasoned developers working on AI projects.\u003c\/p\u003e\n\u003cp\u003eThe \u003cstrong\u003ebuilt-in display\u003c\/strong\u003e provides real-time feedback, showing what Huskylens sees and detects, making setup and adjustments easier than ever. This eliminates the need for trial and error, as you can visually confirm when the camera successfully learns and recognizes objects.\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eSix Built-In AI Functions\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe Huskylens AI camera comes with \u003cstrong\u003esix powerful AI functions\u003c\/strong\u003e, ready for use:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eObject Detection\u003c\/strong\u003e: Identify and track objects in real time.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFace Recognition\u003c\/strong\u003e: Detect and recognize faces, ideal for security and smart gadgets.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLine Tracking\u003c\/strong\u003e: Perfect for robotics projects, enabling autonomous path-following robots.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eColor Recognition\u003c\/strong\u003e: Detect specific colors, useful in sorting machines or creative applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTag Recognition\u003c\/strong\u003e: Recognize pre-defined tags for interactive projects.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eObject Classification\u003c\/strong\u003e: Distinguish between different types of objects for more advanced applications.\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eWide Compatibility and Easy Integration\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eOne of Huskylens' biggest strengths is its \u003cstrong\u003ewide compatibility\u003c\/strong\u003e with multiple microcontroller platforms, including \u003cstrong\u003eArduino\u003c\/strong\u003e, \u003cstrong\u003eRaspberry Pi\u003c\/strong\u003e, and \u003cstrong\u003emicro:bit. \u003c\/strong\u003eThe camera supports both \u003cstrong\u003eUART\u003c\/strong\u003e and \u003cstrong\u003eI2C communication protocols\u003c\/strong\u003e, making it versatile for use in a wide range of projects—from robotics to smart home devices.\u003c\/p\u003e\n\u003cp\u003e    \u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/2_55a587ed-4d67-402c-9edd-0ac22313f759.jpg?v=1728056144\"\u003e\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003cp\u003eThe \u003cstrong\u003eplug-and-play\u003c\/strong\u003e nature of Huskylens makes it incredibly easy to integrate into any project, even for those with minimal technical knowledge. This user-friendly design allows developers to focus on creating and innovating without getting bogged down by complex coding or setup processes.\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eReal-Time Learning and Recognition\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eOne of the most exciting features of the \u003cstrong\u003eGravity Huskylens AI Camera\u003c\/strong\u003e is its ability to \"learn\" in real-time. Unlike traditional machine learning models that require extensive training and datasets, Huskylens allows you to instantly teach the camera new objects, faces, or tags simply by pressing a button. This real-time learning feature is perfect for developers who need a quick, responsive AI solution without the overhead of setting up complex software environments.\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eCompact Design, Big Potential\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eHuskylens’ \u003cstrong\u003ecompact and lightweight design\u003c\/strong\u003e makes it an ideal component for embedded systems and portable applications. Whether you’re building a \u003cstrong\u003esmart robot\u003c\/strong\u003e, a \u003cstrong\u003evision-based security system\u003c\/strong\u003e, or a \u003cstrong\u003ecreative interactive art project\u003c\/strong\u003e, the camera’s small size makes it easy to integrate without taking up much space or adding significant weight.\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eIdeal Applications\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp\u003eThe \u003cstrong\u003eGravity Huskylens AI Camera\u003c\/strong\u003e opens up a world of possibilities across multiple industries and DIY fields:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotics\u003c\/strong\u003e: Create autonomous robots capable of detecting obstacles, following lines, or recognizing faces.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Home\u003c\/strong\u003e: Build vision-based security systems, smart doorbells, or AI-enhanced home gadgets.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInteractive Gadgets\u003c\/strong\u003e: Develop AI-powered toys, art installations, or interactive exhibits that respond to objects, colors, or people.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEducational Projects\u003c\/strong\u003e: Perfect for classrooms and workshops, Huskylens introduces students to AI and machine learning in an accessible, hands-on way.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003ch3\u003e\u003cstrong\u003eWhy Choose the Gravity Huskylens AI Camera?\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEasy-to-use AI\u003c\/strong\u003e: No need for complex programming—teach the camera to recognize objects and faces with just a button press.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuilt-in display\u003c\/strong\u003e: Real-time feedback ensures accurate learning and detection, making the setup process straightforward.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWide compatibility\u003c\/strong\u003e: Works seamlessly with Arduino, Raspberry Pi, micro:bit and other platforms, supporting both UART and I2C.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSix AI functions\u003c\/strong\u003e: Object detection, face recognition, line tracking, color recognition, tag recognition, and object classification.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePortable and compact\u003c\/strong\u003e: Small enough to fit into any project, from robotics to wearable devices.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/0hAPzXUZwWo?si=zUxE13q544DYUf80\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003cp\u003eThe \u003cstrong\u003eGravity Huskylens AI Camera\u003c\/strong\u003e is the perfect tool for developers looking to integrate artificial intelligence into their projects quickly and easily. Its advanced capabilities, combined with its user-friendly design, make it ideal for a wide range of applications, whether you’re building robots, smart home devices, or interactive gadgets.\u003c\/p\u003e\n\u003c!----\u003e\u003c!----\u003e","brand":"DFRobot","offers":[{"title":"Default Title","offer_id":43846836551878,"sku":"DF-SEN0305","price":55.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0621\/0050\/4774\/files\/Gravity_Huskylens_AI_Camera_1.webp?v=1754033696"}],"url":"https:\/\/upenelab.com\/collections\/camera-embedded-camera-i2c-camera.oembed","provider":"OpenELAB Technology Ltd.","version":"1.0","type":"link"}