Our senior design capstone team consisted of two students from each of three engineering disciplines: mechanical, electrical, and computer. We worked on creating a software prototype to connect to security cameras for monitoring, detecting, and predicting crime throughout a city, and tracking evading suspects in real-time to alert law enforcement of their location when a crime is committed. We tested the software using publicly available IP cameras and used machine learning to analyze the video feeds in real-time to identify individual people and track them from camera to camera. Currently, Video Surveillance as a Service simply streams video feeds from security cameras to a tablet, smartphone, or computer. Our system demonstrated the possibly of having an Active Surveillance as a Service solution, actually analyzing the videos in real-time for direct response to a situation as opposed to a passive, retroactive response. Our project placed 1st in the college among 60 senior design projects spanning six engineering fields.