Biography
Biography: Balamuralidhar P
Abstract
Low altitude aerial Imaging and analytics is getting much business interest these days. This is due to the availability of affordable unmanned aerial vehicles and miniaturized sensors for cost effective spatial data collection. Applications include inspection of infrastructures and spatially distributed systems such as power lines, wind farms, pipelines, railways, buildings, farms and forests. Predominantly they use vision based sensing. However multi spectral, hyperspectral and laser based mapping are also used in certain cases. Advances in image processing and computer vision research coupled with high performance embedded computing platforms are generating interesting possibilities in this area. Traditional techniques along with deep learning and cognitive architectures are being explored to provide automatic analysis and assessment of the huge data acquired. In this talk some of our experiences and learnings on computer vision applications in related areas will be presented.