Project StopLift

StopLift grew out of a Harvard Business School field study on Retail Loss Prevention entitled “Project StopLift”. One of the study’s major findings was that, while CCTV is the most widespread of all loss prevention technologies, it is often the most underutilized–it is just too expensive and time-consuming for humans to monitor or review video comprehensively.
Combining with engineering talent and computer vision research insights from MIT, the Project StopLift team realized that video recognition could be used to automate and, thus, make possible the comprehensive examination of surveillance video.