Smart City

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.

People Detection

The algorithm is able to detect the presence of people in a video-surveillance area.

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Man Down Detection

The algorithm is able to detect the presence of a man on the ground

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People Crowd Detection

The 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.

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People Counting

The solution allows you to count the number of people passing through a video surveillance area in both running directions.

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Abnormal Behaviour Detection

The algorithm can detect, track and interpret anomalous movements.

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Smoke/Fire Detection

The algorithm is able to detect the presence of a fire and/or smoke.

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Detection of fleeing subject

The algorithm is able to detect the presence of people fleeing from dangerous situations.

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Social Distancing

The solution allows to calculate automatically and in real time the distance between each person framed by the camera and all the others present.

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Object Recognition

The algorithm is capable of detect and report in real time the presence or absence of objects within a specific area video surveillance.

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Vehicle Crowd Detection

The algorithm is able to detect the aggregation density of vehicles on a video-monitored road section.

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Vehicle Counting

The algorithm allows you to count the number of vehicles passing through a video surveillance area in both running directions.

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Detection of a vehicle in the wrong direction

The algorithm allows to detect the presence of a vehicle traveling along a road section in the wrong direction.

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Detection vehicle stopped on the road

The algorithm is able to detect the presence of a stationary vehicle in a video-surveillance area-

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Vehicle Tail Detection

The algorithm is able to detect the queue of stationary or slow-moving vehicles.

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Plate Recognition

The algorithm is able to identify the number plates of vehicles entering or passing through a video surveillance area.

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Vehicle Speed Detection

The algorithm allows you to calculate the speed of a vehicle in real time and prevent the formation of queues and traffic.

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Road Space Analyzer

The algorithm allows you to monitor road space, detecting the positioning of vehicles and free parking spaces.

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Carriageway Crossing Detection

The algorithm is able to detect the presence of people in a video-surveillance area.

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Face Recognition

The 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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