CCTV Street Garbage Detection And Alert System
Arjun S
Phagwara, Punjab
- 0 Collaborators
This program classifies an input image (Image of street from CCTV Camera) as clean/unclean. This can later be used to automatically send alerts to respective authorities when a street is found to be unclean. Once a street is found to be unclean, it automatically sends an email alert to the respective authorities who can then take action. ...learn more
Project status: Under Development
Intel Technologies
Intel Opt ML/DL Framework
Overview / Usage
This program classifies an input image (Image of street from CCTV Camera) as clean/unclean. This can later be used to automatically send alerts to respective authorities when a street is found to be unclean.
Once a street is found to be unclean, it automatically sends an email alert to the respective authorities who can then take action.
The Problem: It is impossible to manually identify streets that require cleaning at a given time.
The Solution: With "CCTV Street Garbage Detection And Alert System", authorities can get updates about the streets that are unclean.
Methodology / Approach
This Machine Learning based program is built using tensorflow and classifies images from any CCTV camera to identify streets that are unclean. The model is trained with hundreds of images of clean and unclean images so as to let the program identify a new image as clean or unclean.
Technologies Used
Artificial Intelligence, Machine Learning, Supervised Learning, Tensorflow, Python
Repository
https://github.com/ArjunInventor/CCTV-Street-Garbage-Detection