M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и
M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и
M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и
M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и
M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и
M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и

M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и


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M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и

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M5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты иM5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты иM5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты иM5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты иM5Stack Stick V AI smart chip K210 camera development board with built-in MPU688 | Электронные компоненты и

Auction Title will be here!
Features:
Dual-core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz (normal)
Double precision FPU
8MiB 64-bit on-chip SRAM
Neural Network Processor (KPU) / 0.8 top
Programmable IO Array (FPIOA)
Dual hardware 512-point 16-bit complex FFT
SPI, I2C, UART, I2S, RTC, PWM, timer support
AES, SHA256 accelerator
Direct Memory Access Controller (DMAC)
Support Micropython
Firmware encryption support
On-board hardware resources:
Flash: 16 million.
TFT: ST7789. 135 * 240 IPS 1.14 SPI
Camera: OV7740
PCM: MAX98357
Power Management IC: AXP192
Buttons: front and side.
Lithium battery: 200mAh.
Indicator: RGBW.
External storage: TF card / Micro SD
Motion sensor: MPU6886.
Interface: CONNEXT.
contain
M5Stick-V
Tpye-C USB

Function Description
1.1 Kendrick K210
Kendryte K210 is a system-on-chip (SoC) with integrated machine vision. It uses TSMC's ultra-low-power 28-nanometer advanced process and dual-core 64-bit processor, which has good power performance, stability and reliability. This solution is dedicated to zero-threshold development and can be deployed in the user's product in the short term, thereby providing artificial intelligence to the product
Machine vision capabilities
Better low-power visual processing speed and accuracy
Convolutional artificial neural network hardware accelerator KPU can perform high-performance convolutional artificial neural network calculations
TSMC 28nm advanced process, stable temperature range -40 ° C to 125 ° C
Supports firmware encryption, which is difficult to crack using common methods
Unique programmable IO array makes product design more flexible
Low voltage and low power consumption compared to systems with the same processing power
Supports 3.3V / 1.8V dual voltage, no level shifting required, saving cost

1.1.1 CPU
The chip is equipped with a dual-core 64-bit high-performance low-power CPU based on RISC-V ISA and has the following functions:
Number of cores: dual-core processor
Processor bit width: 64-bit CPU 400MHz
Nominal frequency: 400MHz
Instruction Set Extension: IMAFDC
Floating Point Processing Unit (FPU): Double Precision
Platform interrupt management: PLIC
Local interrupt management: CLINT
Instruction cache: 32KiB x 2
Data cache: 32KiB x 2
On-chip SRAM: 8MiB

1.2 OV7740
Supported output formats: RAW RGB and YUV
Support image size: VGA, QVGA, CIF or other smaller sizes
Supports elimination of dark spots
Supports internal and external frame synchronization
Standard SCCB serial interface
Digital Video Port (DVP) Parallel Output Interface
Embedded one-time programmable (OTP) memory
On-Chip Phase-Locked Loop (PLL)
Embedded 1.5 V voltage regulator

1.2.1 Specifications
Array size: 656 x 488
Power: Core: 1.5VDC ± 5%-Analog: 3.3V ± 5% -I / O: 1.7 ~ 3.47V
Temperature range:-Operation: -30 ° C to 70 ° C-Stable image: 0 ° C to 50 ° C
Output format: -8 / 10-bit raw RGB data 8-bit YUV
Lens size: 1/5 inch
Input clock frequency: 6 ~ 27 MHz
Large image transfer rate: VGA (640x480): 60 fps-QVGA (320 x 240): 120 fp
Sensitivity: 6800 mV / (Lux-sec)
Large exposure interval: 502 x tROW
Pixel size: 4.2μm × 4.2μm
Image area: 2755.2μm × 2049.6μm
Package / chip size: -CSP3: 4185μm × 4345μm-COB: 4200μm × 4360μm

1.3 MAX98357
Single-supply operation (2.5V to 5.5V)
3.2W output power: 4Ω, 5V
2.4mA quiescent current
Efficiency: 92% (RL = 8Ω, POUT = 1W)
22.8µVRMS output noise (AV = 15dB)
0.01kHz THD + N at 1kHz
No MCLK required
8kHz to 96kHz sampling rate
Support left channel, right channel and (left channel / 2 + right channel / 2) output
Mature edge rate control eliminates filtering of Class D amplifier output
77dB PSRR at 1kHz
Low RF sensitivity suppresses TDMA noise from GSM transmission
Click suppression circuit

1.4 AXP192
Working voltage: 2.9V-6.3V (AMR: -0.3V ~ 15V)
Configurable intelligent power selection system
Adaptive USB or AC adapter input current and voltage limits
Internal diode resistance is less than 100mΩ

1.5 MPU6886

1.5.1 Gyro Function
The three-axis MEMS gyroscope in MPU-6886 has multiple functions:
Digital output X, Y and Z-axis angular rate sensors (gyros), user-programmable full-scale range of ± 250 dps, ± 500 dps, ± 1000 dps, and ± 2000 dps, integrated 16-bit ADC
Digitally Programmable Low-Pass Filter
Low-power gyroscope operation
Factory calibrated sensitivity scale factor
Lens size: 1/5 inch
Self-test

1.5.2 Accelerometer function
The three-axis MEMS accelerometer in MPU-6886 has multiple functions:
Digital output X, Y, and Z axis accelerometers with programmable full-scale ranges of ± 2g, ± 4g, ± 8g, and ± 16g, integrated 16-bit ADC
User-programmable interrupt
Wake-up interrupt for low-power operation of the application processor
Self-test

What can the application / M5Stick-V do?
Face recognition / detection
Object detection / classification
Get the size and coordinates of the target in real time
Get detected target types in real time
Shape recognition
Video / audio recording / display
Game simulator


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