• deep convolutional networks
• face recognition
• object detection

The theme of public safety, in light of the latest dramatic events, has recently become a relevant aspect, especially in large urban areas. The possibility to act promptly in case of dangers or alarms can be of fundamental importance in determining the favorable outcome of the interventions. For example, identifying and tracking an individual or a suspicious vehicle that moves in an urban context may require significant deployment of forces, with costs that can sometimes render the interventions ineffective.
The intelligent camera represents a technology that can help manage this problem and that in recent years has seen a rapid development in many directions. The most interesting aspect is certainly its low cost. Furthermore, the advent of the 5G network and its integration with drone technology could provide a synergy for the development of innovative and low-cost public security applications. The visual information detected by the camera (photo and video) can be effectively exploited in the phase of identification on the ground, through the use of artificial intelligence technologies based on deep learning. The development of these technologies has been enormous as well. Thanks to the power of graphics cards equipped with Graphics Processing Units (GPU), recognizing in real time, in a video, a face of a person or a specific object in motion is now within the reach of a home computer.