Project archive.
A selection of industrial monitoring, tracking, automation, and computer vision work. Descriptions distinguish prototypes from deployed workflows.
AI-Based Fruit Ripeness Detection and Automated Sorting System
An intelligent fruit ripeness detection and automated sorting prototype developed using YOLOv8n deep learning and Raspberry Pi 4. The system uses computer vision to identify fruit ripeness conditions and classify detected fruit into three categories: Unripe, Ripe, and Overripe. The project explores edge AI, real-time image processing, and automated sorting to support more consistent fruit quality classification.
Manufacturing Digital Transformation Exposure
Learning and supporting digitalisation initiatives in a manufacturing environment, with exposure to industrial automation, programming, networking, IoT, and connected monitoring applications.