Purpose and goal
The purpose is to use machine learning to process multiple sources of information and larger amounts of information when work resources, ie guards, are to be sent on assignments in different environments. The goal is that the right resources are used for the conditions that apply to the moment and advice on measures before something serious happens.
Expected results and effects
The expected result is a measurable difference in response times for security guards, more information to the security guard about the conditions for solving the mission and suggestions on procedures. This provides greater security and a better execution of alarm tasks performed by one or more security guards.
Planned approach and implementation
With a knowledgeable partner, available data will be inventoried and analyzed to find alternatives to information retrieval that will expand the manual process that exists today. After that, a dispatch function, message support and statistics collection will be developed. Guardians, operators and supervisors must have access to the information in real time.