Early detection of suspicious/unattended packages, bags, boxes is among the most important requirements of existting security systems. Detection of suspicious/unattended objects and detection of the person leaving these objects in crowded places such as shopping malls, bus stations, train stations and airports will provide a revolutionary advantage to preventive civil security applications.
An effective suspicious/unattended object detection requires motion detection, object tracking and face recognition ablities in the video analytics software. Since these applications require multi-camera tracking, efficiency of communication among multiple cameras is highly important for the performance of the application. As in all other security applications we developed, we used i-bex Video Analytics Platform in our suspicious/unattended object detection application. i-bex Video Analytics Platform can detect suspicious/unattended objects in crowded places and match this object with the person who left it with its face recognition ability.

