Smart City

Computer vision and video analysis techniques, based on face recognition, are used to certify the training provided through e-learning / smart learning systems.

Plate Recognition

The algorithm is capable to identify and recognize a person in real time comparing the face in a video stream with a watch-list

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Crowd Detection

The algorithm is able to automatically classify the emotional state of an individual at a certain moment based on the analysis of the face

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People Counting

The algorithm is able to detect the number plates of vehicles in transit in the monitored area in real time

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Vehicle Counting

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 Speed Detection

Reco solutions, based on Face Recognition, are resilient to impersonation attacks

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Road Space Analyzer

The algorithm is able to detect, track and interpret human movements

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Carriageway Crossing Detection

The algorithm is able to detect and classify clothing items correctly and precisely

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Detection of a vehicle in the wrong direction

The algorithm is able to detect and classify clothing items correctly and precisely

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Object Recognition

The algorithm is capable to identify and recognize a person in real time comparing the face in a video stream with a watch-list

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Face Recognition

The algorithm is capable to identify and recognize a person in real time comparing the face in a video stream with a watch-list

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