Overview of Public Safety Analytics
In the Public Safety sector, the customer’s primary requirement is to get about the rescues and total survey completed of public safety before investing. Real-time and the support of clients journey, proactively anticipating clients needs. Today’s customers also want to know about the prediction of rescued requests and people’s surveys and status for the following safety. Further, the customer wants to get detailed insights about the sector with the requested rescues and helmet and seat belt status year to year analysis. Machine learning models help them predict the people and rescues status to get insights related to the performance. Therefore Public Safety analytics is necessary.
Solution Public Safety Data Analytics
- With Xenonstack Support, one can build accurate and predictive models in real-time data. To better understand the people for rescues and detect a person while wearing the seat belt and helmet.
- As a result, we have given a demo of dashboards for reference; you will be confident after getting the details with the proper status as an AI-based predicted model.
Click on the Button and request us to give you the demo of our Machine Learning prediction model. Here you will get insights related to total surveys and recuses and recuses asked for a status. Our model will provide you an accurate prediction of all the information like a helmet and set belt status and the monthly status of a customer’s rescues and status.