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Neural Network Abandoned Object Detection

The module detects stationary objects (bags, suitcases, or backpacks) that remain in the monitored area longer than a specified time interval. The module achieves high accuracy due to the use of the latest machine vision and artificial intelligence technologies.

Functional Features and Advantages

  • Detection of stationary objects (bag, suitcase, or backpack) that are in the observation area for longer than the time interval specified by the administrator. The module classifies such objects as abandoned items.
  • Generation of alarm messages for detected events, with the option to resend them after a specified time interval.
  • Storage of information about abandoned and missing objects in the archive, with real-time display of event data.
  • Archive search for alarm events within a specified time range.
  • The abandoned object detector automatically records stationary potentially dangerous objects in a defined control zone, improving security staff efficiency and reducing the human factor.
  • Timely notification of unattended suspicious objects helps prevent threats to property and human life.
  • Saved images and video clips of detected objects can help during incident investigations.

Typical Solutions

MUSEUM / SHOPPING AND ENTERTAINMENT CENTER It is designed to monitor high-value cultural or material assets: paintings, sculptures, jewelry display cases, safes, ATMs, etc. The use of an intelligent module for detecting abandoned/removed items makes it possible to automate the monitoring of objects for which the storage location is strictly defined, promptly respond to changes in the location of protected items and prevent theft and reduce financial losses.
TRAIN STATION / AIRPORT / SUBWAY It helps security teams at major transport and logistics hubs improve the effectiveness of anti-terrorism measures. The use of the Sagitech abandoned object detector makes it possible not only to detect a suspicious object and notify law enforcement agencies, but also to quickly locate the relevant video segment to identify the person or group who left the object, as well as find the owners of lost items.
SAFE CITY It allows law enforcement agencies to use contextual video analytics to identify potentially dangerous situations in crowded places (in city squares and streets, in parks and stadiums, etc.) and promptly take counter-terrorism measures to protect law and order and ensure public safety.