Security Camera Person/Vehicle recognizer

Project to analyze an ISAPI "stream" by polling on a specified frequency (i.e every 1, 5, 10 seconds).

Compare each image to prior, and save a copy if significant differences exist:

1. At least one more human recognized in image
2. At least one more animal recognized in image
3. At least one more vehicle recognized in image

Implementation Details:

• Implementation in Python 3.9 because of YOLO
  • sudo yum install -y openssl-devel libffi-devel xz-devel
  • wget https://www.python.org/ftp/python/3.9.6/Python-3.9.6.tgz
  • tar -zxf Python-3.9.6.tgz
  • cd Python-3.9.6; ./configure --with-openssl=/usr/; make clean; make; sudo make install;
• Considering using OpenCV (Open Computer Vision)
• Considering using YOLO (you only look once) recognition/categorization libraries
  • Current - https://github.com/ultralytics/yolov5
    • git clone https://github.com/ultralytics/yolov5
    • cd yolov5
    • python3 -m pip install -r requirements.txt
  • Older Darknet - https://pjreddie.com/darknet/yolo/

Using ISAPI HTTP endpoints like:

http://:@/ISAPI/Streaming/channels/101/picture?videoResolutionWidth=3840&videoResolutionHeight=2160