M5Stack UnitV2 - Standalone AI Camera for Edge Computing (SSD202D) TinyML _MAKE_POWER_CHARGER It has 8 Analog I/O

It has 8 Analog I/O pins and 8 digital pins

If you decide not to use the standoffs

no soldering is required to connect it to your system

The ideal spacing between the centres of the two sprockets is about 48 mm

Chapters begin with a clearly defined project goal and a discussion of ways to attack the problem

M5Stack UnitV2 - Standalone AI Camera for Edge Computing (SSD202D) TinyML _MAKE_POWER_CHARGER It has 8 Analog I/OThe 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 its embedded Linux operating system and rich software and hardware resources and development tools integrated, UnitV2 is committed to bringing users a simple and efficient AI development experience out of the box.