AI Projects
Machine Vision
YOLOv8RF-DETRSupervised LearningUnsupervised Learning
Disclaimer: all videos shown here are prototype demos. No production footage is included.
About The Projects
A collection of machine vision projects covering object detection, defect inspection, fire and smoke monitoring, handwash sequence validation, and manufacturing quality checks. I prepare datasets, label and annotate images, fine-tune models, deploy the systems, and evaluate performance using supervised and unsupervised learning approaches with models such as YOLOv8 and RF-DETR.
Motive
Many industrial workflows depend on fast, repeatable visual checks. These projects show how computer vision can support quality control, safety monitoring, CCTV analytics, and process compliance across different real-world scenarios.