Publicized code for the standalone implementation of DCNN-based screw detection using Xception and other architectures for automated disassembly processes in electronics recycling workflows.
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Updated
Oct 16, 2025 - Python
Publicized code for the standalone implementation of DCNN-based screw detection using Xception and other architectures for automated disassembly processes in electronics recycling workflows.
Asynchronous Python client for Twente Milieu.
Autonomous robot using deep learning to recycle household trash into their corresponding bins.
This system combines RFID, weight sensors, image recognition, and user rewards to streamline plastic bottle recycling.
The swolfpy-processmodels module is responsible for calculating and reporting the LCI of the waste management processes.
This repository is dedicated to the development of a Program for the calculation of Circular Economy policies in input-output analysis starting from multi-regional supply-use tables
Open data for recycling stations in Sweden
A Home Assistant integration that uses the new South Gloucestershire recycling APIs to show live data about household recycling dates and statuses
A non-intrusive, not scary, open source, and simple home-monitoring solution.
End-to-end implementation of "ReSort-AI: Recycling Sorting Automation with AI Vision System", released for reproducibility and reusability.
Züri Trash Bot is a convenient way to query paper and cardboard collection dates for people living in Zürich.
Publicized code for the standalone implementation of wire detection using an EfficientNetB7-based U-Net architecture for automated disassembly processes in robotics applications.
RegularRecycler scans through all trash folders on linux system and deletes files older than a given number of days or size in MB. Set it up with a LazyCron schedule to keep the Trash clear of old files.
Web app basata su intelligenza artificiale per identificare, catalogare e classificare correttamente i rifiuti.
A Home Assistant integration to pull in trash and recycling scheduled for residents in Delaware, Ohio.
This is a mirror of my final project I did with my colleagues at Le Wagon Data Science & AI bootcamp
There is a huge component shortage from broken supply chains (especially during COVID) and challenging with e-recycling lead to massive waste and pollution. Our project automatically disassembles electronics to make reuse or recycling much easier, leading us to a more circular economy.
Database design and tools for collecting compound names to identify and determine their ecotoxicological hazard profiles
Publicized code for the standalone implementation of wire detection using an EfficientNetB7-based U-Net architecture for automated disassembly processes in robotics applications.
Home Assistant custom integration for simple recurring waste bin schedules
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