IOT Based Garbage Monitoring system 🤖
Bossard's Smart Bin Continuous Replenishment using Algorand stateful and stateless smart contracts, standard assets and atomic transfers.
Simulation code for Smart garbage bin level indication using AWS Cloud Services
Smart IoT waste management system featuring automated operation, sensor integration, and intelligent monitoring.
IoT-based smart waste sorter using ESP32 — auto-classifies wet, dry and metal waste with ThingSpeak cloud monitoring
Smart trash bin with real-time waste classification using EfficientNet-B3, ESP32, and MQTT — automatically opens the right bin based on detected waste type.
Industrial Edge Multi-Object & Dual-Stream Waste Segregation Perception Engine with Volumetric Mass & CO2e Telemetry
ESP32-based smart waste sorting bin with IR and capacitive sensors, servo flap control, and a built-in Wi-Fi dashboard for manual and automatic sorting.
Automated Smart Bin using Arduino: A touchless waste bin that uses an ultrasonic sensor and servo motor to open the lid when motion is detected. Powered by Arduino Uno, it promotes hygiene and automation in public and home environments.
KI-gestützte Mülltrennung über deine Webcam / AI-driven trash sorting through your webcam - Lite-Version meines Jugend forscht-Siegerprojekts SortiMate, ohne zusätzliche Hardware
ECOBIN - AI-powered smart waste sorting bin with computer vision (Gemini 2.0), MQTT, ESP32, Raspberry Pi. IoT Lab project @ UAlg
Sistema IoT de reciclaje inteligente con ESP32, backend serverless en Supabase (PostgreSQL) y dashboard dinámico en GitHub Pages con actualización en tiempo real.
Cura is a smart trash bin powered by Arduino, featuring real-time fill level monitoring with an ultrasonic sensor and a 16x2 I2C LCD display. It provides smooth, accurate readings, fun animations, and status alerts to make waste management engaging and efficient. Includes a calibration utility for easy setup and customization.
Affordable smart waste segregation bin for home users using Arduino and sensors. Seeking hardware optimization feedback.
Home Assistant integration for TIBI waste collection quotas (Wallonia, Belgium) — tibi.monconteneur.be
Multi-task deep learning pipeline for automated waste sorting — classifies incoming waste by material type, recyclability, liquid content, & component count using four CNN models. Achieved 92.4% accuracy on real-world external data. Built in collaboration with Nestlé & Dawar; deployed in a physical smart bin prototype. — AUC Senior Thesis 2026
An autonomous, touchless waste management system using ESP32, ultrasonic sensing, and PWM servo actuation. Features a custom 3D-printable design for hygienic, hands-free operation.
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