Machine Learning of motion patterns in the penal system
Violence in prison is no exception: suicides, for example, can be prepared and carried out in unobserved moments. Suicides in prisons often cause collateral damage beyond the tragedy of the event, ranging from increased media coverage to irritation among employees and inmates.
The project will provide important insights for the digitization of the prison regime system and offers the chance to develop highly innovative solutions from Austria for prisons worldwide.
The goals of this project are:
- define behavioural patterns and scenarios in prison to be detected by a 3D sensor
- using 3D image analysis to register behavioural patterns of people in real-time to identify critical movement patterns
- analyse the possibilities to support security personnel in prison by the detection of motion patterns
- development of a prototype