Install the text file FIRST!! before running any of the scripts or else it won't work!
- TYPE py -m pip install -r requirements.txt in your python environment terminal to execute text file
- For MAC USERS use python -m pip install -r requirements.txt
- It will track any movement from the video footage
- Identify the object that is on screen and display a label
- The script attached will seek permission from camera and identify any object from the footage
- The Dashboard is the user interface where I control can control the review and edit the slips stored
- Every script run is stored under the 'output_videos' folder, this GUI will list all the files in that folder
- The user can watch the clips, Rewind, Fastforward, and Delete clips at will
- Deleted clips are permanently deleted from the file system as well
- This script will play stored video clips from different scenarios and apply AI algorithm to identify objects
- The objects in the clips will be catergorised and tracked showcasing the capabilities of the OpenCV & YOLO framework
- When a person is detected, it captures a screenshot
- Sends an email alert with the screenshot attached
- It helps to identify house pets i.e cats and dogs
- It works in low light conditiosn like at night
I have provided a youtube link where I demo the application, you can see the full capabilities and the functions of my application via the link below:
Here are the output screenshots from my app:
[Video Playlist GUI]
[Object Identification]
-It has successfully identified the dog and the tennis ball in the moving footage
[Intruder Alert]
- When an intruder has been detected, the system sends out an alert and the camera will track the movements of the intruder
- The yolov3.weights is currently over 200MB therefore, you might have an issue trying to download it
- However, it is very crucial since it contains the pre-trained model for the classifier