The brains behind INTSITE’s autonomous solutions, Mor brings vast experience in the design and implementation of complex software architecture and innovative usage of Machine Learning algorithms.
Prior to founding the company, Mor served as a Guidance, Navigation and Control (GNC) Engineer in the Missilery and Control Department of the Missile Division at “Rafael Advanced Defense Systems” and as the Algorithms Group Team Leader at Cnoga Medical.
Mor’s experience and knowledge in writing autopilots, guidance, navigation and trajectory algorithms for missiles led him to explore the proprietary technologies used by INTSITE. Mor has 12 years of experience in the field and holds a Bachelor’s degree in Aerospace Engineering from the Technion.
Industry: Information Technology and Services
Value: INTSITE’s patent-pending technology combines Computer Vision, Deep Learning, and aerospace algorithms with off-the-shelf hardware (camera and other sensors) to transform any heavy machinery into smart and autonomous robots (machines) in a fast and cost-effective manner. Safety and performance are enhanced as the machinery becomes “smarter” – estimating the machine posture and visual perception.
By connecting all of INTSITE’s machines to the cloud, we are creating a vast network of heavy machinery at worksites across the globe, enabling data-driven decisions and allowing worksite activity to be monitored in real-time.
Offer: INTSITE’s patent-pending technology combines Computer Vision, Deep Learning, and aerospace algorithms with off-the-shelf hardware (camera and other sensors) to transform any heavy machinery into smart and autonomous robots (machines) in a fast and cost-effective manner. Safety and performance are enhanced as the machinery becomes “smarter” – estimating the machine posture and visual perception.
By connecting all of INTSITE’s machines to the cloud, we are creating a vast network of heavy machinery at worksites across the globe, enabling data-driven decisions and allowing worksite activity to be monitored in real-time.
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