Shaping the future of The Police

Incoming emergency calls offer numerous opportunities for the use of AI and assistive systems to simplify the work of the operators.
AI can automatically capture key information and provide additional information by analyzing the language and semantics of emergency calls. The availability of this information then enables, among other things, the automatic creation of a case. It can also serve as a guide for dispatchers on what information needs to be requested from the caller and provide direct support for routing and operational planning.

Once an emergency call is received, it can be assigned to the most appropriate patrol in a semi-automated process.
Using AI, this assignment can be optimized for each operation based on pre-defined criteria. These criteria can include hard factors such as proximity to the location, availability, refueling, and break times, as well as soft factors such as language skills, conflict management training, and mission-specific experience.

Thanks to extensive sensor technology, patrol cars in the field can record relevant environmental variables and share them with each other. This means that before, during and after an operation, patrol cars can receive up-to-date data about their area of operation collected by other patrol cars.
Thanks to intelligent communication between the integrated systems, the recorded data is consolidated, shared with other vehicles and the control center, and can then be added to the incident file, for example.

Once the call has been assigned to an appropriate patrol, the response time can be optimized by an intelligent routing system.
The optimal route to the scene should take into account criteria that go beyond “normal” route calculation: For example, current police reports should be taken into account to avoid blocked or closed areas, or routes closed to regular traffic should be used. In the future, the system could also communicate with traffic control centers to prioritize traffic lights or influence local street lighting.

By connecting to multiple systems with intelligent interfaces, the dispatch center can access critical information about the location and person(s) involved immediately upon receiving an emergency call. This information can be forwarded to the appropriate emergency services.
In this way, emergency operators immediately receive visually available information, such as people involved, building plans, or neighboring emergency forces.

Before the patrol arrives on the scene, a drone can be sent ahead to scout and assess the situation for the best possible self-protection.
To secure the extended or difficult-to-view perimeter, the drone can perform a more extensive scan upon arrival, for example, to detect movement of people or relevant changes. These images are also transmitted to the operations center and, if necessary, to the deployed forces.

If necessary, the self-protection of the emergency services can be supplemented by an automated exchange of information, supported by sensors and cameras in the vehicle and on the body of the emergency forces, so that the control center is precisely informed about the situation in the field and the emergency services are immediately supported in the perception of danger.

A digital assistant helps officers record notes and witness statements and simplifies case follow-up.
By providing targeted assistance, such as checklists or instructions, the assistant can help officers process the incident in the field. Captured images and evidence coding are automatically and directly added to the case.

It must be possible to work in the field safely and, if necessary, independently of power and the Internet, so that data can be recorded in the field even without a connection. New information captured by the car, drone, or patrol officer’s devices could be uploaded via a separate uplink and added to the process.
In addition, patrol cars and drones in areas with weaker network coverage could be connected to each other and act as repeaters. Such a “mesh network” ensures stability and reliability of communications. Data will not be lost in the event of vehicle loss or power failure.

All case-related data and information is automatically collected. This includes emergency calls, information from the incident dossier, environmental scans by drone, bodycam and car, voice, photo and video material from the incident, incident evidence codes, copies of instructions issued, data investigation documents, forms and notes, times of arrival and departure from the incident site, extended information such as weather data and emergency services involved in the incident, as well as the incident history with time stamp and GPS location on the map.

Information on the current inventory of all resources relevant to the mission, including a digital logbook:
By using sensor technology in the patrol car, an intelligent inventory system can be established. The removal of items from the trunk is detected and recorded. As soon as the vehicle is assigned, the emergency services know what equipment is available and what may be missing.
An automatic, digital logbook also makes it possible to track when and where equipment has been removed.