Project Overview
An inside look into our AI-powered smart bin implementation and architecture.
Problem Statement
Urban waste management is increasingly difficult due to inefficient and neglected manual segregation. Existing smart bins are often either too costly or too basic. There's a need for a compact, affordable AI-powered system that can automatically detect and sort waste while providing real-time analytics to raise awareness.
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Auto Trash Sorting System
Objectives
This project aims to build a low-cost, AI-powered smart bin using Jetson Nano for real-time waste classification and automated sorting.
- Features cloud-based analytics
- User feedback via LEDs or voice
- Scalable design ready for commercial use
The system supports eco-friendly habits and is ideal for deployment in smart environments.
Technical Approach
Our architecture securely captures inputs via IoT and Camera Modules, passing data through neural networks to determine the proper disposal mechanism.
Expected Outcome
A compact AI-powered smart bin prototype using Jetson Nano enables real-time waste detection and sorting with over 90% accuracy.
It features a live dashboard for analytics, a patentable design with intelligent feedback systems, and is built for cost-effective scaling. The solution has strong commercialization potential across smart cities, institutions, and CSR initiatives, with scope for future IoT, solar, and AR integration.
Product & Technology Details
CleanCred AI is a smart waste segregation system built on edge AI using NVIDIA Jetson Nano. It uses computer vision models (CNNs like MobileNet) to classify waste in real time through a camera module.
The system integrates:
- AI-based image classification for waste detection
- Motorized mechanisms for automated waste sorting
- Sensors (IR/ultrasonic) for object detection and bin monitoring
- Real-time data logging with optional cloud dashboard (Firebase/IoT)
- User feedback system using LEDs, audio, and display
It operates offline with low latency and is designed to be scalable, energy-efficient, and suitable for deployment in public and private spaces like schools, offices, and smart cities.
📷 CNN MobileNet
⚙️ Motorized Sorting
☁️ Cloud Firebase IoT
Quick demo
See our AI-powered smart bin in action.