The camera is connected to the K210 processor through a MIPI-CSI interface.
### Peripherals
The camera is connected to the K210 processor through a MIPI-CSI interface.
### Peripherals
The module features a microSD card slot for storage expansion, allowing users to store and retrieve data, models, and firmware.
| I2C Interface | The module provides an I2C interface for connecting external sensors, actuators, and other devices. |
The module features a UART interface for serial communication with other devices.
The module provides a range of general-purpose input/output (GPIO) pins for connecting external devices and peripherals.
The module features an onboard power management system, including a voltage regulator and a battery management system.
### AI Capabilities
| Neural Network Processing Unit (NPU) | The K210 processor features a dedicated NPU, which enables efficient and fast processing of neural networks and machine learning models. |
The module supports various AI frameworks, including TensorFlow Lite, Caffe, and more.
### Operating System
The module comes with FreeRTOS, a popular real-time operating system (RTOS) for IoT devices.
### Dimensions and Weight
54.2 x 21.6 x 12.5 mm (2.13 x 0.85 x 0.49 in)
approximately 20g (0.71 oz)
Functionality
| The M5StickV K210 AI Camera (without wifi) is designed to enable AI-enhanced computer vision and machine learning capabilities in various IoT devices, including |
Image recognition and classification
Object detection and tracking
Facial recognition
Augmented reality (AR) applications
Industrial automation and inspection
Smart home and security systems
Robotics and autonomous systems
Overall, the M5StickV K210 AI Camera (without wifi) is a powerful and versatile AI camera module that provides an ideal platform for developing and deploying AI-enhanced IoT devices.
M5StickV K210 AI Camera (without WiFi) DocumentationOverviewThe M5StickV K210 AI Camera (without WiFi) is a compact, AI-enabled camera module powered by the K210 RISC-V processor. This module is designed for IoT applications that require computer vision capabilities without the need for wireless connectivity. The camera module features a high-resolution sensor, onboard storage, and a range of interfaces for connecting to microcontrollers and other devices.FeaturesHigh-resolution CMOS sensor (up to 5 megapixels)
K210 RISC-V processor with AI acceleration
Onboard storage (up to 16MB)
I2C, SPI, UART, and USB interfaces
Supports various image formats (JPEG, BMP, etc.)
Programmable in C/C++ and MicroPythonGetting StartedBefore using the M5StickV K210 AI Camera, ensure you have:A compatible microcontroller or development board
A USB cable for programming and data transfer
A power source (optional, depending on the application)Code Examples### Example 1: Capturing and Saving an Image using C/C++This example demonstrates how to capture an image using the camera module and save it to the onboard storage.```c
#include <Arduino.h>
#include <M5StickV_K210_Camera.h>M5StickV_K210_Camera camera;void setup() {
// Initialize the camera module
camera.begin();
}void loop() {
// Capture an image
camera.capture();
// Save the image to onboard storage
camera.saveImage("image.jpg");
delay(1000);
}
```### Example 2: Object Detection using MicroPython and the OpenMV LibraryThis example demonstrates how to use the OpenMV library to detect objects in a captured image.```python
import sensor
import image
from machine import I2C# Initialize the camera module
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time_to_skip=2000)# Create an I2C object for communicating with the camera
i2c = I2C(scl=Pin(22), sda=Pin(21))# Create an image object
img = sensor.snapshot()# Find blobs in the image
blobs = img.find_blobs([(255, 255, 255)], pixels_threshold=100, area_threshold=100)# Iterate through the detected blobs
for blob in blobs:
# Draw a rectangle around the blob
img.draw_rectangle(blob.rect(), color=(255, 0, 0))# Display the image with detected blobs
print(img)
```### Example 3: Streaming Camera Feed using UARTThis example demonstrates how to stream the camera feed over a UART connection.```c
#include <Arduino.h>
#include <M5StickV_K210_Camera.h>M5StickV_K210_Camera camera;
HardwareSerial Serial1(1);void setup() {
// Initialize the camera module
camera.begin();
// Initialize the UART connection
Serial1.begin(115200);
}void loop() {
// Capture an image
camera.capture();
// Send the image data over UART
camera.sendImageUART(Serial1);
delay(100);
}
```These examples demonstrate the basic usage of the M5StickV K210 AI Camera (without WiFi) in various contexts. For more advanced applications, please refer to the component's datasheet and the documentation for the K210 RISC-V processor.