Home Assistant integration framework for (garbage collection) schedules
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Updated
Jul 13, 2024 - Python
Home Assistant integration framework for (garbage collection) schedules
Asynchronous Python client for Twente Milieu.
platform for annotation of images, training an object detection model (fixed model, different datasets), running detection with pre-trained and in-app trained models, reviewing detection result on a georeferenced map. specialized for waste detection. management of legal landfills through input waste form and 3D point cloud scans.
My thesis project - machine learning classifiers for visual sorting of plastic waste. I created a support vector machine and a convoluted neural network to recognize different types of plastic waste.
The dashboard aims to help users and residents correctly select recyclable waste. Helping by providing whether the garbage is recyclable or not. The code has a database of small words that is updated over time.
🗑️ Product lifecycles, waste management, and the impact of non-recyclable materials on garbage accumulation and disposal.
Tableaux de bord thématiques Odema
Analyseauswertung für Abfälle nach den Vorgaben der Deponieverordnung (DepV) - ZOW Tabelle
¿Dónde Reciclo? es una herramienta desarrollada por DATA Uruguay y CEMPRE Uruguay que permite encontrar puntos de recepción y zonas de recolección de residuos reciclables, información sobre disposición de residuos de todo tipo y consejos para la clasificación en casa.
A program for Life Cycle Assessment (LCA) calculations of supply chain waste and material footprints
Revolutionizing waste management with IoT, our system employs Arduino, ESP32, ultrasonic sensors, and load cells to monitor bin fill levels. LED indicators and a web interface enhance real-time monitoring and data collection.
Data about a global project What a Waste that aggregated data on solid waste management from around the world
The list of environmentally-friendly robots projects 🌍 💚 🤖⭐
Food Flow is a sustainable food redistribution platform aimed at combatting food waste and insecurity through cutting-edge technologies including federated learning, AWS, and various microservices.
AI to combat environmental pollution
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