public safety departments around the world have implemented next-generation work centers that combine multiple data sources into a single, unified image using new technology and data analysis software. This will allow public security officials to assess the situation in real time and make appropriate decisions.
The definition of next-generation job centers is an example of real-time crime centers (RTCCs). Public safety departments can use data visualization, analytics, and artificial intelligence tools in RTCC to gain insights from old and real-time inputs. This skill allows for more accurate and faster decision making.
A cognitive engine, an artificial intelligence application capable of processing unstructured data from a variety of sources so that users – in this case public safety departments – can easily extract functional data, is a crucial enabling technology for this type of research. Law enforcement can use these cognitive engines to destroy and evaluate body camera material, edit multimedia, create transcripts, and more.
In the RTCC regulations, analysts and researchers can access 15-20 separate sources of information to identify a person of potential interest. Cognitive engines go through all of these sources and compile the data into aggregation displays and mapping systems, providing faster, more concise information to enable decision-making. Cognitive engines are also useful for law enforcement to improve transparency with the public outside of response functions. Cognitive engines can help authorities disclose information about police encounters with people more easily.
A cognitive engine is an artificial intelligence program that takes unstructured data, analyzes it, and then produces a structured result. Cognitive engines are used for many purposes. For example, there are engines for language recognition, translation, content detection, summary, emotional analysis and more, for example in the field of text analysis. Target recognition, license plate recognition, and optical character recognition are used for video analysis.
Benefits of cognitive engines for public safety
The use of cognitive motor technology in RTCC benefits public safety departments in many ways. One is enhanced transparency. The faster the evidence can be properly processed and corrected, the faster it can be released to the public. Cognitive engines are also force factors. They help reduce the resources and time staff need to analyze the evidence. Staff need to focus on more valuable work instead of time-consuming but low-value tasks such as editing and transcription