UNIT-V
SKU:U078
Description
UNIT-V is the new AI Camera powered by Kendryte K210 .An edge computing system-onchip(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 OV2640 (2 megapixel) 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 PH2.0*4P
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.
Features:
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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:
o Flash: 16M
o Camera :OV2640
o Button: button * 2
o Indicator light: WS2812 LED
o External storage: TF card/Micro SD
o Interface: PH2.0/compatible GROVE
Size: 4mm * 2.5mm * 1.5mm
Weight: 4g
Applications/What can UNIT-V do?
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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
Package Includes
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1x UNIT-V(include 20cm 4P cable and USB-C cable)
About KENDRYTE K210
The Kendryte K210 is a system-on-chip (SoC) that integrates machine vision. Using TSMC’s
ultra-low-power 28-nm advanced process with dualcore 64-bit processors for better
power efficiency, stability and reliability. The SoC strives for ”zero threshold” development
and to be deployable in the user’s products in the shortest possible time, giving the product
artificial intelligence
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Machine Vision
Better low power vision processing speed and accuracy
KPU high performance Convolutional Neural Network (CNN) hardware accelerator
Advanced TSMC 28nm process, temperature range -40°C to 125°C
Firmware encryption support
Unique programmable IO array maximises design flexibility
Low voltage, reduced power consumption compared to other systems with the same processing
power
3.3V/1.8V dual voltage IO support eliminates need for level shifters
The chip contains a high-performance, low power RISC-V ISA-based dual core 64-bit CPU
with the following features:
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Core Count: Dual-core processor
Bit Width: 64-bit CPU 400MHz
Frequency: 400MHz
ISA extensions: IMAFDC
FPU: Double Precision
Platform Interrupts: PLIC
Local Interrupts: CLINT
I-Cache: 32KiB x 2
D-Cache: 32KiB x 2
On-Chip SRAM: 8MiB
About OV2640
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Output Formats(8-bit):
o YUV(422/420)/YCbCr422
o RGB565/555
o 8-bit compressed data
o 8-/10-bit Raw RGB data
Maximum Image Transfer Rate according to specific format
o UXGA/SXGA: 15fps
o SVGA: 30fps
o CIF: 60fps
Scan Mode: Progressive
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Camera specifications
o CCD size : 1/4 inch
o Field of View : 65 degree
o Maxmium Pixel: 2M
SD card test
UNIT-V does not currently recognize all types of MicroSD cards. We have tested some
common SD cards. The test results are as follows.
Brand
Storage
Type
Class
Format
Test Results
Kingston
8G
HC
Class4
FAT32
OK
Kingston
16G
HC
Class10
FAT32
OK
Kingston
32G
HC
Class10
FAT32
NO
Kingston
64G
XC
Class10
exFAT
OK
SanDisk
16G
HC
Class10
FAT32
OK
SanDisk
32G
HC
Class10
FAT32
OK
SanDisk
64G
XC
Class10
/
NO
SanDisk
128G
XC
Class10
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NO
XIAKE
16G
HC
Class10
FAT32
OK(purple)
XIAKE
32G
HC
Class10
FAT32
OK
XIAKE
64G
XC
Class10
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NO
TURYE
32G
HC
Class10
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NO
Links
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Web page - sipeed
datasheet - K210
Example
If you want the complete code, please click here
https://docs.m5stack.com/#/en/unit/unitv/4-10-20
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