Dimension Detector

System for finding the heights of buildings in San Jose for network tower installation . ● Trained and recognized objects from images crawled from image-net using deep learning techniques and YOLO, DARKNET framework, and OpenCV in Java to detect dimensions of buildings. ● Proposed algorithm plan to estimate detection accuracy using recognized object sizes to pixel ratio . ● Revised and solved software to elucidate problem of finding optimal network tower location utilizing Java and OpenCV ; algorithm had 92% success rate for buildings under 10 stories.