AI-Powered Image Object Detection and Annotation for Defense Systems
As part of a defense industry project, I worked on integrating high-resolution cameras and AI-powered image processing algorithms into cruise missiles and UAVs. My role involved utilizing OpenCV and CNN-based YOLO models to enable real-time detection of military and civilian objects. The labeling tasks centered on training and validating object detection within these systems using annotated images collected from embedded hardware. • Labeled and annotated images for object detection using bounding boxes • Worked with Python and OpenCV library for image processing • Participated in AI model training and validation cycles • Focused on defense and real-time object detection applications.