The 'Urban Security' system receives, stores and organizes geo-referenced information from various sources (video/image streams from video surveillance cameras, sensors, GPS, metadata, etc.) and uses them to provide a tool for monitoring and controlling urban areas and supporting operational and management decisions. The platform allows:
● The acquisition of data from different sources, in particular through processing nodes that exploit computer vision and video analysis techniques;
● The analysis of the data collected, transforming it into useful information that can be viewed on the platform;
● The management of citizen reports;
● The real-time notification of dangerous situations, so that action can be taken quickly;
● The production of statistics, risk maps and reports;
● The predictive analysis, as a decision support tool for operational and decision-making needs;
● The management of processing nodes, user profiles and thresholds.
The algorithm is able to detect the presence of people in a video-surveillance area.
Learn moreThe solution allows to detect the density of aggregation of people and to report in real time the formation of a crowd or the presence of groups.
Learn moreThe solution allows you to count the number of people passing through a video surveillance area in both running directions.
Learn moreThe algorithm can detect, track and interpret anomalous movements.
Learn moreThe algorithm is able to detect the presence of a fire and/or smoke.
Learn moreThe algorithm is able to detect the presence of people fleeing from dangerous situations.
Learn moreThe solution allows to calculate automatically and in real time the distance between each person framed by the camera and all the others present.
Learn moreThe algorithm is capable of detect and report in real time the presence or absence of objects within a specific area video surveillance.
Learn moreThe algorithm is able to detect the aggregation density of vehicles on a video-monitored road section.
Learn moreThe algorithm allows you to count the number of vehicles passing through a video surveillance area in both running directions.
Learn moreThe algorithm allows to detect the presence of a vehicle traveling along a road section in the wrong direction.
Learn moreThe algorithm is able to detect the presence of a stationary vehicle in a video-surveillance area-
Learn moreThe algorithm is able to detect the queue of stationary or slow-moving vehicles.
Learn moreThe algorithm is able to identify the number plates of vehicles entering or passing through a video surveillance area.
Learn moreThe algorithm allows you to calculate the speed of a vehicle in real time and prevent the formation of queues and traffic.
Learn moreThe algorithm allows you to monitor road space, detecting the positioning of vehicles and free parking spaces.
Learn moreThe algorithm is able to detect the presence of people in a video-surveillance area.
Learn moreThe algorithm is capable to recognize a person by comparing the biometric model of the face extracted from a video stream with those present in a watch-list.
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