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CleanSweep.AI
A-EYE on SCATTERED GARBAGE! An AI & ML solution to solve some of the basic but most important problems in day to day life. ...learn more
Project status: Published/In Market
Intel Technologies
oneAPI,
OpenVINO,
Intel Python
Overview / Usage
Problem Statement:- Scattered scrap detection is a significant problem in many countries around the world. It can lead to a number of negative consequences, including environmental degradation, public health issues, and decreased quality of life for residents. Garbage can accumulate in public spaces, such as streets, parks, and beaches, due to individuals littering or improperly disposing of waste. In some areas, waste collection systems may be inadequate or inefficient, leading to a build-up of garbage in certain areas.
Methodology / Approach
Objective:- The goal is to design an object classification model which segregates garbage and scattered scrap from the given input data from various sources like dashcams, CCTVs installed on roads, etc. The video is processed and the density of garbage is then calculated and processed through a machine learning algorithm. If waste is detected as greater than a certain threshold, then the concerned authorities are intimated with the help of an escalation algorithm.
Solution:- The solution to solve the above problem is implementing a Garbage Detection Model using the Single Shot Detector Algorithm which is trained on the TACO Dataset.
Technologies Used
TECH STACK
API: - Twilio
Garbage Detection: - Single Shot Detector
GUI: - Streamlit
Libraries: - OpenCV, TensorFlow, Yagmail, Geocoder
Documents and Presentations
Repository
https://github.com/Akhil5347/cleansweep
Collaborators