The ESP32-CAM would stream the images to PC via WebSocket packages, then the remote software in PC would receive the images and do the object detection with Tensorflow Lite(SSD Mobilenetv2) or Keras (YOLOv3).

Components are used: ESP32-CAM module, RC Servo x2, 5V Battery.

The software contains 2 parts

1. ESP32-CAM firmware
   

• Dependency: Download https://github.com/Links2004/arduinoWebSockets as zip file and add this library to your Arduino Libraries by Sketch/Include Library/Add Zip...
  
• Use Arduino IDE to flash firmware to ESP32-CAM module.
  

2. Remote control software (Can be run on Ubuntu or Windows PC)
   

• ubuntu: Install virtualenv
  

sudo apt-get install python3-pip
sudo pip3 install virtualenv
cd ESP32CamObjectDetection/remote
virtualenv -p python3 <env_name>
source <env_name>/bin/activate
(<env_name>)$ pip install -r requirementVirtualenv.txt

• windows 10: Not yet checked but it should be similar
  

Run remote control:

(<env_name>)$ cd remote
(<env_name>)$ python3 main.py

Note: If your computer does not have GPU, update setting.ini by changing GPU = 0, or you can change like this to run the code in CPU.

For use GPU, download the pretrained model here and place in the remote folder.

SSD Mobilenetv2: https://github.com/tensorflow/models/tree/master/research/object_detection

Keras-Yolov3 https://github.com/qqwweee/keras-yolo3