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ESP32 WiFi Camera Lite📖
1.ESP32 camera basic course
  • 1.Development environment
  • 2.Compile and use routine
  • 3.How to update firmware
2.Configure camera on PC
  • Configure camera on PC
3.View video on APP
  • View video on APP
4.Configure camera on MCU
IIC
  • Arduino
  • Microbit
  • STM32
  • MSPM0G3507
  • MSPM0G3519new
  • PICO
  • Raspberry Pi
  • Jetson
  • RDK X5
Serial Port
  • Arduino
  • Microbit
  • STM32
  • MSPM0G3507
  • MSPM0G3519new
  • PICO
  • Raspberry Pi
  • Jetson
  • RDK X5
5. APP remote control servo gimbal
  • 1. STM32 drives the servo gimbal
  • 2.Arduino drives the servo gimbal
  • 3.Pico
  • 4.MSPM0G3507 drives the servo gimbal
  • 5.MSPM0G3519 drives the servo gimbalnew
  • 6. Microbit drives the servo gimbal
  • 7. Raspberry Pi drives the servo gimbal
  • 8. Jetson drives the servo gimbal
  • 9.RDK X5 driving servo gimbal
6. Expansion tutorials
  • ESP32
  • Robot car
Download
  • RemoteCtrl_APP(iOS_Android)
  • 3D_Model_File
  • Code
  • Software_Tools
  • Module_fireware
  • Protocols_Hardware
Download ZIP

Welcome to ESP32 WiFi Camera Lite repository

Jetson

jetson configure camera

Note: The ESP32 camera needs to record the factory firmware. The ESP32 camera does not need to swipe the firmware after it is in hand. Data reading

1. Experimental preparation

  • Jetson master control one piece
  • The ESP32 camera

2. Wiring diagram

jetsonESP32 camera
Board3SDA
Board5SCL
GNDGND
5V5V

image-20241227120903955

The physical connection chart:

image-20241227122721530

Jetson pin drawing:

image-20241227115655972

3. Experimental steps and experimental effects

  1. Open a new Jetson terminal and send the source code of this experiment to Jetson

  2. Open the code just passed, and you need to change the position of the arrow in the picture to modify it to the corresponding AI mode.

    image-20241227154222201

  3. Execute the following instructions, the default data will return, because it does not open the camera recognition

python3 I2C_TEST.py

image-20241227143207927

  1. Log in to WIFI IP configured through the serial port, or connect the hotspot of the camera. Because I have configured the wifi before, the following figure uses the IP address of the previously configured wifi IP address to log in to the camera to open the camera

image-20241227153225404

  1. Because we set it as a cat and dog mode, we put cats and dogs in front of the camera to select cats or dogs,

image-20241227154257791

At the same time, the terminal will print out the current central coordinates, and the area has been selected.

image-20241227154801340

 

Face recognition mode

When switching the adult face recognition mode, the terminal will print the current face ID

image-20241227160821240

xxxxxxxxxx
python3 I2C_TEST.py

image-20241227161720404

Recognize the face. When you don't get the face, press the key button to indicate the face of the face

image-20241227161814933

The picture below appears that the record is successful, and the record is a face 1

image-20241227161827891

At this time, you can press and press the key for two seconds, and then release the key to recognize the current face.

image-20241227161850245

At the same time, the terminal will print out the current central coordinates and the recognized face.

image-20241227161941344

Color detection mode

When we switch to color detection mode,

image-20241227162125115

xxxxxxxxxx
python3 I2C_TEST.py

image-20241227162150150

Recognize color. Press the button to appear a box, you can use this box to frame the color you want to use.

image-20241227162207781

Press and press the key for two seconds, let go and press it again to identify the color selected by the current box, and the red box appears at the same time.

image-20241227162217320

At the same time, the terminal will print out the current central coordinates,

image-20241227162322949

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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