Machine learning system detects guns in real time

The system uses a deep neural network: a complex artificial simulation of the human brain which'learns' to identify patterns by processing huge amounts of data, either with or without human supervision. This can allow for the rapid analysis of language, scientific images, video and other, subtle forms of information, such as facial expressions. The University of Granada researchers decided to train their software to recognise the drawing of a firearm, using a dataset of low-quality videos from YouTube, and cult 90s films featuring trigger-happy characters, including Pulp Fiction, Mission Impossible and James Bond films. Using this data, they were able to train their system to detect guns in video with over 96.5 per cent effectiveness. When a gun appears in the video, the programme sends an alert, which appears as a red box surrounding the weapon on the screen.