Note: M5StickV does not support for microphone function, which will be added on upcoming Wifi version M5StickV+.
1. M5Stack recently launched the new AIOT(AI+IOT) 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.
2. M5stick-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 onM5stick-V easier.
3.The module comes with the OmniVision OV7740 sensor, using the OmniPixel®3-HS technology, providing a best-in-class low light sensitivity, making it ideal for machine vision. In addition to an OV7740 sensor, M5stick-V features more hardware resources such as a speaker with built-in I2S Class-D DAC, IPS screen, 6-axle IMU, 200mAh Li-po battery, and more.
4. More than the visioning, M5stick-V also features the embedded APU – Audio Processor. With its hardware beam-forming support and dual 512-point FFT units, the M5stick-V is also capable of a series of machine hearing works like voice wake-up to speech recognition.
Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)
Dual Independent Double FPU
8MiB 64bit width On-Chip SRAM
Neural Network Processor(KPU) / 0.8Tops
Field-Programmable IO Array (FPIOA)
Dual hardware 512-point 16bit Complex FFT
SPI,I2C,UART,I2S, RTC,PWM,Timer Support
AES, SHA256 Accelerator
Direct Memory Access Controller (DMAC)
Firmware encryption support
On-board Hardware resources:
– Flash: 16M.
– TFT: ST7789. 135*240 IPS 1.14 SPI
– Camera :OV7740
– PCM: MAX98357
-Button: Front and side.
-Indicator light: RGBW .
-External storage: TF card/Micro SD
-Gy ro: MPU6886.
1.1 KENDRYTE K210
The Kendryte K210 is a system-on-chip (SoC) that integrates machine vision and machine hearing. 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
Better low power vision processing speed and accuracy
KPU high performance Convolutional Neural Network (CNN) hardware accelerator
Advanced TSMC 28nm process, temperature area -40°C to 125°C
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