The Project Leaf Recognition initiative focuses on developing an image-processing tool to detect and measure water hyacinth leaf damage caused by biocontrol agents. mental management efforts.
Project Leaf Recognition Read More »
The Aquatic Weeds Programme (AWP) focuses on predicting and managing water hyacinth growth in Hartbeespoort Dam using a machine learning model.
Aquatic Weeds Programme Read More »
This project utilises predictive modelling to monitor and manage the spread of invasive water hyacinth at Hartbeespoort Dam.
Tracking Water Hyacinth Movement at Hartbeespoort Dam Read More »
This project tracks and predicts water hyacinth spread in Hartbeespoort Dam using AI and satellite data.
Tracking Water Hyacinth Movement Project Read More »
This project automates object detection and manipulation using a robotic arm integrated with a vision-based system.
Robotic Arm with Real-Time Object Detection Read More »
The ARWSS enhances waste management by automating sorting and promoting recycling.
Automated Robotic Waste Sorting System Read More »
The AI-Driven Drone System detects potholes, boosting road safety and cutting repair costs.
Pothole Detection System Read More »
The AI-Driven Drone System enhances security for South African farms and wildlife.
Drone Perimeter Monitoring System Read More »
The Object Avoidance System enhances drone safety, preventing collisions across various industries.
Object Avoidance System for Drones Read More »
This project improves drone-assisted SAR operations by enhancing visibility and communication.
Sky Search and Rescue Read More »