Datasheet

interface and a type-C interface compatible with grove, which is convenient to connect
with the main controllor. 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
Case Material: PC + ABS
On-board Hardware resources:
Flash: 16M
Camera :OV2640
Button: button * 2
Indicator light: WS2812 LED
External storage: TF card/Micro SD
Interface: PH2.0/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
Specification
Resources Parameter
Kendryte K210 Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU
/ 400Mhz(Normal)
2/3