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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.
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m5-docs
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