{"product_id":"m5stack-unitv-k210-ai-camera-m12-version-ov7740","title":"M5Stack UnitV K210 AI Camera M12 Version (OV7740)","description":"\u003cp\u003eIntroducing the UNIT-V M12 AI Camera - the ultimate embedded solution for machine vision enthusiasts and professionals alike. This powerful camera unit combines cutting-edge technology with a compact design to give a great performance.\u003c\/p\u003e \u003cp\u003eEquipped with an M12 lens and powered by the advanced K210 processor, the UNIT-V M12 offers unparalleled processing capabilities. Its dual-core 64-bit RISC-V CPU and neural network processor edge computing system-on-chip ensure efficient and lightning-fast operations, enabling seamless execution of complex algorithms.\u003c\/p\u003e \u003cp\u003eThe camera unit features an OV7740 wide-angle camera module with an M12 optical lens, providing versatility for different imaging requirements. Users have the freedom to replace the lens with other M12 options, allowing for customised imaging solutions. Additionally, the UNIT-V M12 boasts two programmable buttons and a TF card expansion slot, providing convenient control and ample storage capacity.\u003c\/p\u003e \u003cp\u003eDesigned for seamless integration, the UNIT-V M12 comes equipped with an HY2.0-4P interface and a TYPE-C interface, enabling effortless data connection to the controller. Its compact form factor makes it suitable for embedding in various devices, while its machine vision processing capabilities enable a wide range of image recognition tasks. From the real-time acquisition of target size and coordinates to identifying object types, this camera excels at delivering accurate and actionable data.\u003c\/p\u003e \u003cp\u003eOne of the standout features of the UNIT-V M12 is its ability to perform convolutional neural network calculations. This empowers users with a low-threshold machine vision solution, making it accessible to both beginners and experts in the field.\u003c\/p\u003e \u003ch2\u003eFeatures\u003c\/h2\u003e \u003cul\u003e \u003cli\u003eDual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU \/ 400Mhz(Normal)\u003c\/li\u003e \u003cli\u003eDual Independent Double Precision FPU\u003c\/li\u003e \u003cli\u003e8MiB 64bit width On-Chip SRAM\u003c\/li\u003e \u003cli\u003eNeural Network Processor (KPU) \/ 0.8Tops\u003c\/li\u003e \u003cli\u003eField-Programmable IO Array (FPIOA)\u003c\/li\u003e \u003cli\u003eAES, SHA256 Accelerator\u003c\/li\u003e \u003cli\u003eDirect Memory Access Controller (DMAC)\u003c\/li\u003e \u003cli\u003eMicropython Support\u003c\/li\u003e \u003cli\u003eFirmware encryption support\u003c\/li\u003e \u003cli\u003eOn-board Hardware resources: \u003cul\u003e \u003cli\u003eFlash: 16M\u003c\/li\u003e \u003cli\u003eCamera: OV7740\u003c\/li\u003e \u003cli\u003eButton: button: x2\u003c\/li\u003e \u003cli\u003eExternal Storage: TF card\/Micro SD\u003c\/li\u003e \u003cli\u003eInterface: HY2.0\/compatible GROVE\u003c\/li\u003e \u003c\/ul\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003ch2\u003eSpecifications\u003c\/h2\u003e \u003ctable width=\"734\"\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd width=\"272\"\u003e\u003cstrong\u003eResources\u003c\/strong\u003e\u003c\/td\u003e \u003ctd width=\"462\"\u003e\u003cstrong\u003eParameters\u003c\/strong\u003e\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eKendryte K210\u003c\/td\u003e \u003ctd\u003eDual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU \/ 400Mhz(Normal)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eSRAM\u003c\/td\u003e \u003ctd\u003e8MiB\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eFlash\u003c\/td\u003e \u003ctd\u003e16M\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eInput voltage\u003c\/td\u003e \u003ctd\u003e5V @ 500mA\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eKPU Neural network parameter size\u003c\/td\u003e \u003ctd\u003e5.5MiB - 5.9MiB\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eInterface\u003c\/td\u003e \u003ctd\u003eTypeC 1x, GROVE (I2C+I\/0+UART) 1x\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eButton\u003c\/td\u003e \u003ctd\u003eCustom button x 2\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eImage Sensor\u003c\/td\u003e \u003ctd\u003eM12 wide-angle lens ov7740\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eFOV\u003c\/td\u003e \u003ctd\u003e80°\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eExternal storage\u003c\/td\u003e \u003ctd\u003eTF Card\/Micro SD\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eShell material\u003c\/td\u003e \u003ctd\u003ePlastic ( PC )+CNC (ALUMINIUM)\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Size\u003c\/td\u003e \u003ctd\u003e40 x 24 x 16.4mm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePackage Size\u003c\/td\u003e \u003ctd\u003e70 x 50 x 30mm\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003eProduct Weight\u003c\/td\u003e \u003ctd\u003e13.9g\u003c\/td\u003e \u003c\/tr\u003e \u003ctr\u003e \u003ctd\u003ePackage Weight\u003c\/td\u003e \u003ctd\u003e52.6g\u003c\/td\u003e \u003c\/tr\u003e \u003c\/tbody\u003e \u003c\/table\u003e \u003ch2\u003eResources\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e\u003ca href=\"https:\/\/docs.m5stack.com\/en\/unit\/UNIT-V%20M12\"\u003eProduct Wiki\u003c\/a\u003e\u003c\/li\u003e \u003c\/ul\u003e \u003ch2\u003ePackage Contents\u003c\/h2\u003e \u003cul\u003e \u003cli\u003e1x Unit V M12\u003c\/li\u003e \u003cli\u003e1x 20cm 4-Pin Grove Cable\u003c\/li\u003e \u003cli\u003e1x 100cm USB-C Cable\u003c\/li\u003e \u003c\/ul\u003e","brand":"M5Stack","offers":[{"title":"Default Title","offer_id":50847605391633,"sku":"U078-V-M12","price":37.9,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0901\/6285\/6209\/files\/m5stack-unitv-k210-ai-camera-m12-version-ov7740-m5stack-u078-v-m12-40782323384515.jpg?v=1735216327","url":"https:\/\/abcd3032.myshopify.com\/products\/m5stack-unitv-k210-ai-camera-m12-version-ov7740","provider":"Tayyab Zak","version":"1.0","type":"link"}