Wish List 0

K210 Development Board Kit Ai Artificial Intelligence Machine Vision Risc V Face Recognition Camera Deep Learning

Rs. 5,206.00 Rs. 5,935.00

Sipeed MAix: 
AI at the edge
AI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be run at the edge.
MAIX is Sipeed’s purpose-built module designed to run AI at the edge, we called it AIoT. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge, and the competitive price make it possible embed to any IoT devices. As you see, Sipeed MAIX is quite like Google edge TPU, but it act as master controller, not an accelerator like edge TPU, so it is more low cost and low power than AP+edge TPU solution.

In hardware, MAIX have powerful KPU K210 inside, it offers many excited features:
-1st competitive RISC-V chip, also 1st competitive AI chip, newly release in Sep. 2018
-28nm process, dual-core RISC-V 64bit IMAFDC, on-chip huge 8MB high-speed SRAM (not for XMR :D), 400MHz frequency (able to 800MHz)
-KPU (Neural Network Processor) inside, 64 KPU which is 576bit width, support convolution kernels, any form of activation function. It offers 0.25TOPS@0.3W,400MHz, when overclock to 800MHz, it offers 0.5TOPS. It means you can do object recognition 60fps@VGA
-APU (Audio Processor) inside, support 8mics, up to 192KHz sample rate, hardcore FFT unit inside, easy to make a Mic Array (MAIX offer it too)
-Flexible FPIOA (Field Programmable IO Array), you can map 255 functions to all 48 GPIOs on the chip
-DVP camera and MCU LCD interface, you can connect an DVP camera, run your algorithm, and display on LCD
-Many other accelerators and peripherals: AES Accelerator, SHA256 Accelerator, FFT Accelerator (not APU's one), OTP, UART, WDT, IIC, SPI, I2S, TIMER, RTC, PWM, etc.

SPECIFICATION
FreeRtos & Standard SDK   Support FreeRtos and Standrad development kit.
MicroPython Support       Support MicroPython on M1
Machine vision            Machine vision based on convolutional neural network
Speech Recognition        High performance microphone array processor
ELECTRICAL SPECIFICATION
Supply voltage of external power supply   4.8V ~ 5.2V
Supply current of external power supply   >600mA
Temperature rise                          <30K
Range of working temperature              -30℃ ~ 85℃
RF                                        ESP8285 Tensilica L106 32-bit MCU
Wireless Standard                         802.11 b/g/n
Frequency Range                           2400Mhz - 2483.5Mhz
TX Power(Conduction test)                 802.11.b : +15dBm ,802.11.g : +10dBm(54Mbps) ,802.11.n : +10dBm (65Mbps)
Antenna Connector                         IPEX 3.0x3.0mm
Wi-Fi mode                                Station/SoftAP/SoftAP+Station

OVERVIEW:

-MAix Go is bigger and better than M1 Dock.

-all pins out, with standard M12 lens DVP camera, and the Camera can be fliped from front to rear!

-It have on board JTAG&UART based on STM32F103C8, so you can debug M1 without extra Jlink.

-It have lithium battery manager chip with power path management function, you can use the board with lithium battery and usb power without conflict~

-It have I2S Mic, Speaker, RGB LED, Mic array connector, thumbwheel, TF card Slot and so on.

-This suit include 2.8 inch LCD too, and have an simple case for it.

PACKAGE INCLUDES:

1 PCS x K210 Development Board Kirisc V Face Recognition Camera Deep Learning

2 PCS x ACRYLIC Case                        

1 PCS x 2.8inch touch LCD            

1 PCS x OV2640 with M12 4mm lens   

1 PCS x WiFi Antenna              

1 PCS x Type-C USB cable             

1 PCS x Li-ion Battery              

6 PCS x Screw&Stud                            

https://github.com/sipeed/kendryte-standalone-sdk

https://youtu.be/TaoEwmwEAE8

15 days 

Write a review

Please login or register to review