ฝัง
- เผยแพร่เมื่อ 9 ก.พ. 2025
- Problem Definition:
Waste mismanagement is a major issue due to improper segregation at the source. Manual sorting is inefficient, costly, and poses health risks. Mixed waste leads to overflowing landfills, pollution, and ineffective recycling. A smart, automated waste segregation system using AI and IoT can solve this by classifying waste accurately, reducing human effort, and promoting sustainable waste management.
Solution:
An AI and IoT-based Smart Waste Segregation System automates waste sorting using sensors and machine learning. It detects and classifies waste into biodegradable, non-biodegradable, and recyclable categories. The system then directs each type to the appropriate bin using a mechanical sorting mechanism. IoT integration enables real-time monitoring and data collection, optimizing waste management and reducing landfill waste. This approach enhances recycling efficiency, minimizes human effort, and promotes environmental sustainability.
Uniqueness:
This system stands out with AI-powered waste detection, IoT-based real-time monitoring, and automated sorting, making waste management faster, smarter, and more efficient than traditional manual methods.
Difference from Others:
Unlike traditional systems that rely on manual sorting or basic mechanical methods, this system uses AI for accurate waste classification and IoT for real-time tracking and data optimization. It reduces human involvement, enhances efficiency, and ensures more precise recycling, making it far more advanced and sustainable compared to conventional waste management methods.
