M5Stack UnitV2 USB Version without Camera
Par un écrivain mystérieux
Description
PRODUCT DETAILSDescriptionThe UnitV2 USB is the latest high efficiency AI recognition module from M5Stack, it adopts Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, 128MB-DDR3 memory and 512MB NAND Flash. It offers USB-A universal interface, which allows you to connect various UVC Cameras, Built-in Linux operating system, integrated with rich hardware and software resources and development tools brings you a simple and efficient AI development experience right out of the box!Product FeaturesSigmstar SSD202DDual-core Cortex-A7 1.2GHz processor128MB DDR3512MB NAND FlashUSB-A universal interface, can be connected to various UVC camerasWi-Fi 2.4GHzDevelopment method:Equipped with 12 ways AI image functions: QR code, face detection, line tracking, movement, shape matching, image streaming, classification, color tracking, face recognition, target tracking, shape detection, custom object detectionSupport online preview, UIFlow (used as serial port json format)Linux system(OpenCV, SSH, JupyterNotebook)Include1 x M5Stack UnitV2 USB1 x 16g TF Card1 x USB-C cable (50cm)1 x bracket1 x back clipApplicationAI recognition function developmentIndustrial visual recognition classificationMachine vision learningUNIT-V2 series comparisonSpecUNIT-V2UNIT-V2 M12UNIT-V2 USBLens equipmentNormal focal length (FOV 68°)Normal focal length (FOV 85°) + wide-angle focal length (FOV: 150°)Without lens, USB-A universal interface, can be connected to various UVC camerasCMOSGC2145GC2053/SpecificationsSpecificationsParametersSigmstar SSD202DDual Cortex-A7 1.2GHz ProcessorFlash512MB NANDRAM128MB-DDR3CameraNot equipped with a lens, USB-A universal interface, can be connected to various UVC camerasInput voltage5V @ 500mAHardware PeripheralsTypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Built-in active cooling fan x1Indicator lightRed, WhiteWi-Fi150Mbps 2.4GHz 802.11 b/g/nEthernet network cardSR9900LEARN AND DOCUMENTSDOCUMENTS Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios Use the latest Linux AI smart camera UnitV2 produced by M5Stack to build a non-performing product screening function that simulates industrial application scenarios.
Open-source modular toolkits for IoT devices based on ESP32-updated version of ESP8266. With stackable modules, user-friendly IDE, enabling rapid and high-quality prototyping, STEM education, engineering and mechanical use.
PRODUCT DETAILSDescription The UnitV2 USB is the latest high efficiency AI recognition module from M5Stack, it adopts Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, 128MB-DDR3 memory and 512MB NAND Flash. It offers USB-A universal interface, which allows you to connect various UVC Cameras, Built-in Linux operating system, integrated with rich hardware and software resources and development tools brings you a simple and efficient AI development experience right out of the box!Product Features Sigmstar SSD202D Dual-core Cortex-A7 1.2GHz processor 128MB DDR3 512MB NAND Flash USB-A universal interface, can be connected to various UVC cameras Wi-Fi 2.4GHz Development method: Equipped with 12 ways AI image functions: QR code, face detection, line tracking, movement, shape matching, image streaming, classification, color tracking, face recognition, target tracking, shape detection, custom object detection Support online preview, UIFlow (used as serial port json format) Linux system(OpenCV, SSH, JupyterNotebook) Include 1 x M5Stack UnitV2 USB 1 x 16g TF Card 1 x USB-C cable (50cm) 1 x bracket 1 x back clip Application AI recognition function development Industrial visual recognition classification Machine vision learning UNIT-V2 series comparison Spec UNIT-V2 UNIT-V2 M12 UNIT-V2 USB Lens equipment Normal focal length (FOV 68°) Normal focal length (FOV 85°) + wide-angle focal length (FOV: 150°) Without lens, USB-A universal interface, can be connected to various UVC cameras CMOS GC2145 GC2053 / Specifications Specifications Parameters Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor Flash 512MB NAND RAM 128MB-DDR3 Camera Not equipped with a lens, USB-A universal interface, can be connected to various UVC cameras Input voltage 5V @ 500mA Hardware Peripherals TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Built-in active cooling fan x1 Indicator light Red, White Wi-Fi 150Mbps 2.4GHz 802.11 b/g/n Ethernet network card SR9900 LEARN AND DOCUMENTSDOCUMENTS Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios Use the latest Linux AI smart camera UnitV2 produced by M5Stack to build a non-performing product screening function that simulates industrial application scenarios.
Open-source modular toolkits for IoT devices based on ESP32-updated version of ESP8266. With stackable modules, user-friendly IDE, enabling rapid and high-quality prototyping, STEM education, engineering and mechanical use.
PRODUCT DETAILSDescription The UnitV2 USB is the latest high efficiency AI recognition module from M5Stack, it adopts Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, 128MB-DDR3 memory and 512MB NAND Flash. It offers USB-A universal interface, which allows you to connect various UVC Cameras, Built-in Linux operating system, integrated with rich hardware and software resources and development tools brings you a simple and efficient AI development experience right out of the box!Product Features Sigmstar SSD202D Dual-core Cortex-A7 1.2GHz processor 128MB DDR3 512MB NAND Flash USB-A universal interface, can be connected to various UVC cameras Wi-Fi 2.4GHz Development method: Equipped with 12 ways AI image functions: QR code, face detection, line tracking, movement, shape matching, image streaming, classification, color tracking, face recognition, target tracking, shape detection, custom object detection Support online preview, UIFlow (used as serial port json format) Linux system(OpenCV, SSH, JupyterNotebook) Include 1 x M5Stack UnitV2 USB 1 x 16g TF Card 1 x USB-C cable (50cm) 1 x bracket 1 x back clip Application AI recognition function development Industrial visual recognition classification Machine vision learning UNIT-V2 series comparison Spec UNIT-V2 UNIT-V2 M12 UNIT-V2 USB Lens equipment Normal focal length (FOV 68°) Normal focal length (FOV 85°) + wide-angle focal length (FOV: 150°) Without lens, USB-A universal interface, can be connected to various UVC cameras CMOS GC2145 GC2053 / Specifications Specifications Parameters Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor Flash 512MB NAND RAM 128MB-DDR3 Camera Not equipped with a lens, USB-A universal interface, can be connected to various UVC cameras Input voltage 5V @ 500mA Hardware Peripherals TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Built-in active cooling fan x1 Indicator light Red, White Wi-Fi 150Mbps 2.4GHz 802.11 b/g/n Ethernet network card SR9900 LEARN AND DOCUMENTSDOCUMENTS Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios Screening of defective products for M5Stack UnitV2 applications in industrial application scenarios Use the latest Linux AI smart camera UnitV2 produced by M5Stack to build a non-performing product screening function that simulates industrial application scenarios.
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M5Stack UnitV2 Webinar
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