Waste segregation
An image-based classifier accepts suitable kitchen and garden materials and diverts rejected materials using a servo-controlled mechanism.
Project 01 / 2025
VermiTure: An Automated Vermicomposting with a Segregation System of Kitchen and Garden Waste for African nightcrawler
An automated composting system with a YOLOv11 model trained to filter unsafe materials, integrating embedded hardware with a cloud backend and Flutter app for live monitoring and AI-generated insights.
The challenge
What this project solves
Traditional vermicomposting requires repeated manual checks of feeding, moisture, aeration and worm activity. VermiTure combines a waste-segregation conveyor, automated bedding controls and a remote monitoring application for African nightcrawlers.
Core capabilities
Environmental controls
Soil sensors trigger misting; aeration fans support appropriate bedding conditions. Testing documented misting below 50% moisture and stopping at 80%.
Worm activity
An MLX90640 thermal camera captures activity patterns and stores images linked to composting schedules.
Harvest and feeding
A food-leveling rake distributes new material, while a separate soil-sifter rake assists vermicast collection.