UnitV(OV7740) SKU:U078-C Tutorial&Quick-Start Choose the development platform you want to use, view the corresponding tutorial&quick-Start. V-Function V-Training Maixpy Description UnitV(OV7740) is the new AI Camera powered by Kendryte K210, an edge computing system-on-chip(SoC) with dual-core 64bit RISC-V CPU and state-of-art neural network processor. UNIT-V AI Camera features its integration with machine vision capabilities, featuring the unprocessed acceptability to AI Visioning with high energy efficiency and low cost. We co-oped with Sipeed providing the MicroPython environment makes programming on UNIT-V easier. Support MicroPython development environment, which makes the program code more concise when you use UNIT-V for project development.Equipped with OV7740 image sensor, it is an ideal choice for machine vision project. It is equipped with two programmable keys and an RGB LED indicator on the front for convenient status display.At the bottom, there is a HY2.0*4P interface and a type-C interface compatible with grove, which is convenient to connect with the main controller. Support TF card to expand memory, related material and model file call more convenient. Product Features Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal) Dual Independent Double Precision FPU 8MiB 64bit width On-Chip SRAM Neural Network Processor(KPU) / 0.8Tops Field-Programmable IO Array (FPIOA) AES, SHA256 Accelerator Direct Memory Access Controller (DMAC) Micropython Support Firmware encryption support On-board Hardware resources: Flash: 16M Camera :OV7740 Button: button * 2 Indicator light: WS2812 LED External storage: TF card/Micro SDExternal storage: TF card/Micro SD Interface: HY2.0/compatible GROVE Include 1x UNIT-V(include 20cm 4P cable and USB-C cable) Applications Face recognition/detection Object detection/classification Obtaining size and coordinates of the target in real-time Obtaining the type of detected target in real-time Shape recognition Video recoder USB Drive problems UnitV/M5StickV/M5StickC/ATOM may not work without driver in some systems. Users can manually install FTDI driver to fix this problem. Specification Resources Parameter Kendryte K210 Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal) SRAM 8MiB Flash 16M Input voltage 5V 500mA KPU Neural network parameter size 5.5MiB - 5.9MiB Interface TypeC x 1, GROVE(I2C+I/0+UART) x 1 RGB LED WS2812 x 1 Button x 2 Image Sensor OV7740(30W pixels) FOV 65deg External storage TF Card/Micro SD Net weight 8g Gross weight 45g Product Size 40mm * 24mm * 13mm