Grant: Engage Grants Program

OBACS Corporation offers object-based, high performance computational software solutions and services based on the SCINET Scientific Software Framework for data analysis and visualization. SCINET, developed by OBACS, integrates a variety of scientific disciplines such as Mathematics, Physics, Chemistry, GIS and more into a single, flexible yet very modular and powerful architecture. It is built on the Microsoft .NET platform and 100% compliant with the Common Language Infrastructure (CLI) specifications. Computer vision and 2 dimensional object detection/recognition algorithms are of significant importance to a variety of industries. For example in GIS industry, the algorithms are used to extract natural and man-made features such as mountains, rivers, forests and road networks from aerial images while in biology it is used to detect and count cancer cells in a petri dish. Although the use of the technology may differ from industry to industry, its fundamental principles are same and applicable to any target industry if implemented and incorporated accordingly. The principal goal of this collaboration is to equip SCINET Scientific Software Framework with computer vision algorithms with the focus on 2-dimensional object detection and extraction from raster images.