VisionMap
Dean Mark is an experienced algorithm developer currently working at VisionMap since 2018, specializing in deep learning object detection and segmentation for remote sensing applications. Previously, Dean held the role of algorithm developer and project leader at RSIP Vision, where significant contributions included the development of an algorithm for reconstructing electrical activation maps in cardiac arrhythmia. Earlier experience includes a student position as a software developer for the Office of the Prime Minister of Israel and a software developer role in the IDF Intelligence Corps, utilizing Java and C# .NET technologies, respectively. Dean holds a Master’s Degree in Condensed Matter Physics from the Weizmann Institute of Science and a Bachelor’s Degree in Physics and Mathematics from Tel Aviv University.
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VisionMap
VisionMap takes the photogrammetric challenge higher, setting a new standard for productivity in the geospatial data industry. Their technology empowers aerial survey providers to fly at higher altitudes and to acquire larger areas - without compromising on high resolution and high accuracy photogrammetric products. Their integral, fully automaticand highly-efficient processing system enables mapping providers to deliver top grade products in less time and with substantial reduction in operational and processing costs.