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Computer vision is giving surveillance cameras digital brains to match their eyes, letting them analyze live video with no humans necessary. This could be good news for public safety, helping police and first responders more easily spot crimes and accidents and have a range of scientific and industrial applications. But it also raises serious questions about the future of privacy and poses novel risks to social justice.
The main objective is to improve the visualization and the decision-making process of human operators or existing video surveillance solutions by integrating real-time video data analysis algorithms to understand the content of the filmed scene and to extract the relevant information from it.
TagX offers to get the high-quality training data sets for AI cameras in security surveillance systems. Mainly using the bounding box image annotation to detect the various objects and recognize the suspicious actions, TagX can produce a huge quantity of training data sets for AI in security cameras and video surveillance in the cities, towns and societies for safe living.