Detecting abandoned objects with computer vision
Unattended objects can spell imminent safety hazards and serious security concerns. AI-driven abandoned object detection empowers you to pinpoint discarded items and trigger real-world action to mitigate threats in near-real-time. Using computer vision to automatically identify and define abandoned objects involves leveraging a number of separate machine learning models, including Object Detection, Object Localization, Object Classification, and Dwell-time, as well as configuring condition-based communications to alert personnel.
Many industries use video analytics to identify abandoned objects – which are left unattended in specific areas, for predetermined periods of time – to trigger security protocols, conduct evacuations, notify authorities and activate emergency procedures. Core use cases include:
Security
Detect and act on abandoned luggage in public places, buildings (shopping centers, hotel foyers, hospital waiting rooms) and transport hubs (airport lounges, train station platforms, bus terminals).
OH&S
Identify fallen items and objects blocking clearways, as well as abandoned work stations.
Law enforcement
Assist missing persons investigations and prevent would-be crimes by detecting abandoned objects and vehicles.
*Disclaimer: Outcomes described and depicted are illustrative in nature. Learn more.