Product details
M5StickV K210 AI Camera (without wifi)
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 advanced neural network processor.
M5StickV AI Camera possesses machine vision capabilities, equips OmniVision OV7740 image sensor, adopts OmniPixel®3-HS technology, provides optimum low light sensitivity, supports various vision identification capabilities. (e.g. Real-time acquisition of the size, type, and coordinates of the detected target ) In addition to an OV7740 sensor, M5StickV features more hardware resources such as a speaker with built-in I2S Class-D DAC, IPS screen, 6-axis IMU, 200mAh Li-po battery, and more.
It is able to perform convolutional neural network calculations at low power consumption, so M5StickV will be a good zero-threshold machine vision embedded solution. It is in support of MicroPython, which makes your code to be more concise when you use M5stick-V for programming.
Switching operations?
Power on: Long press power button for 2 seconds
Power off: Short press power button for 6 seconds
Applications:
• Face recognition/detection
• Object detection/classification
• Obtaining the size and coordinates of the target in real-time
• Obtaining the type of detected target in real-time
• Shape recognition
• Video/Display
• Game simulator
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 advanced neural network processor.
M5StickV AI Camera possesses machine vision capabilities, equips OmniVision OV7740 image sensor, adopts OmniPixel®3-HS technology, provides optimum low light sensitivity, supports various vision identification capabilities. (e.g. Real-time acquisition of the size, type, and coordinates of the detected target ) In addition to an OV7740 sensor, M5StickV features more hardware resources such as a speaker with built-in I2S Class-D DAC, IPS screen, 6-axis IMU, 200mAh Li-po battery, and more.
It is able to perform convolutional neural network calculations at low power consumption, so M5StickV will be a good zero-threshold machine vision embedded solution. It is in support of MicroPython, which makes your code to be more concise when you use M5stick-V for programming.
Switching operations?
Power on: Long press power button for 2 seconds
Power off: Short press power button for 6 seconds
Applications:
• Face recognition/detection
• Object detection/classification
• Obtaining the size and coordinates of the target in real-time
• Obtaining the type of detected target in real-time
• Shape recognition
• Video/Display
• Game simulator
