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Video surveillance information systems assist forensics to examine and analyze the evidence from crime scenes to develop objective findings in the investigation of crime. Often, the existing surveillance information systems exploit an array of security cameras and IoT devices monitoring the same crime scene from different points of view while the crime unfolds over a range of time. However, none can automatically and selectively merge big data streams connected to such systems to provide a holistic, end-to-end safety picture.This work proposes a trajectory prediction architecture framework within a multi-sensor surveillance system. We developed a novel position measurement technique using monocular depth perception networks with multi-camera setup using triangulation. We tested and compared our technique with a single camera sensor in our first experiment and as the multi-camera setup determines the …