El Vigilante - Santos

Video Demo: https://youtu.be/-QPwhqUjOpc

Site: https://hericmr.github.io/cameras/

Description:

"El Vigilante - Santos" is rapository with some scripts that allows users to view real-time camera feeds from some locations in Santos, Brazil. Developed in Python using OpenCV, this app leverages the public cameras from the Santos city government for a virtual watch.

The project is composed of a single Python script, project.py, which handles all the functionality of the program. The script starts by presenting the user a list of available cameras to choose from. Each camera is associated with a unique number, and the user simply needs to input the number corresponding to the camera they wish to view. If any invalid inputs are inserted by the user a ValueError will be called.

Once a camera is selected, the program uses the OpenCV library to access the video stream from the camera and display it in a new window. The video stream continues indefinitely until the user decides to stop it by pressing the 'q' key.

Ufortunaly in the codespace enviroment the OpenCV window does not open, this aplication needs to be instaled in a native graphic machine).

This project uses the following Python libraries:

• OpenCV: For accessing and displaying the video streams.
• multiprocessing: For displaying diferent windows in same time.

Files:

• project.py: The main Python file that contains the functions for this project. This includes functions for displaying the menu, selecting the camera, and streaming the video feed.

• requirements.txt: A file listing all the Python libraries that the project depends on.

Functions:

• show_menu(): This function displays a text-based menu of the available camera locations to the user.

• show_feed_camera(lugar, url): This function takes the location and URL of the camera as parameters. It establishes a connection with the camera feed and streams it onto an OpenCV window in real-time.

• select_camera(): This function lets the user select the camera location. It calls the exibir_menu() function to allow the user to choose the location, and then fetches the appropriate URL from the cameras dictionary.

• main(): The main function initializes the cameras dictionary with all the available camera locations and their respective URLs. It then calls the select_camera() function to start the program.

The app has been designed keeping simplicity and usability. Whether you're a local trying to monitor or a tourist looking to explore Santos virtually. I chose to develop this project because i wanted to show up my beautiful city, and to gain experience working with video streams and the OpenCV library.

Very nice, dont you think?