Machine Learning Approaches for Tracking and Multi-Sensor Analytics

Galvanize Denver (Platte Street)

In this Meetup presentation, KickView research engineer Tevis Gehr will give a survey of some challenges and applications of machine learning to real-time object detection and tracking problems. He will cover the basics of the deep learning technologies and include some specific examples of how we utilize these technologies at KickView to solve real world AI problems. About KickView: KickView is a Denver-based AI startup that has become a leader in intelligent processing of multi-sensor data. We use both machine learning and traditional techniques to extract information from various sources of RF, video, and acoustic data, along with other modalities. About Tevis Gehr: Tevis Gehr is a machine learning engineer with a background in mechanical engineering and mathematics who enjoys combining these and other interests to contribute to efforts in developing cutting-edge applications for automation, sensor processing and robotics. 
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Machine Learning Approaches for Tracking and Multi-Sensor Analytics

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Machine Learning Approaches for Tracking and Multi-Sensor Analytics

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