M5Stack UnitV2 - The standalone AI Camera for Edge Computing (SSD202D) TinyML
PRODUCT DETAILS Description UnitV2 is a high-efficiency AI recognition module launched by M5Stack, using Sigmstar SSD202D (integrated dual-core Cortex-A7 1.2GHz processor) control core, integrated 128MB-DDR3 memory, 512MB NAND Flash, and 1080P camera. With embedded Linux operating system and rich software and hardware resources and development tools integrated, this AI camera is committed to bringing users a simple and efficient AI development experience out of the box. Product Features Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor 128MB DDR3 512MB NAND Flash GC2145 1080P Colored Sensor Microphone Wi-Fi 2.4GHz Include 1 x M5Stack UnitV2 1 x 16g TF Card 1 x USB-C Cable (50cm) 1 x Stand 1 x Back Brick Applications AI recognition function development Industrial visual identification sorting 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 / Specification Resources Parameter Sigmstar SSD202D Dual Cortex-A7 1.2GHz Processor Flash 512MB NAND RAM 128MB-DDR3 Camera GC2145 1080P Colored Sensor Lens FOV 68° , DOF= 60cm- ∞ Power Input 5V @ 500mA Peripherals TypeC x1, UART x1, TFCard x1, Button x1, Microphone x1, Fan x1 Indicator light Red, White Wi-Fi 150Mbps 2.4GHz 802.11 b/g/n Operating Temperature 0°C to 60°C Net weight 18g Product Size 48*18.5*24mm Package Size 157*38*38mm Case Material Plastic ( PC ) LEARN AND DOCUMENTS DOCUMENTS 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.