One of the primary concerns for officers on patrol is balancing the use of technology while maintaining focus on the road. Existing systems often require manual interaction, such as selecting zones, pressing buttons or touching screens to operate what is supposed to be an automated system, which can distract the officers and create a potential safety hazard. 

16% of serious casualty road crashes resulting in hospitalisation occur because of distracted driving. Enforcement officers are well-trained and experienced, but they’re not immune to the fundamental risk of distraction.

The AI Co-Pilot feature of SenFORCE eliminates this issue by allowing users to interact with the system entirely through voice commands.

This voice control functionality is a game-changer, enabling officers to adjust scanning modes, start or stop scanning, and switch between cameras without taking their hands off the wheel. By minimising physical interaction with the system, AI Co-Pilot significantly enhances safety, allowing officers to keep their focus on the road and their surroundings.

Moreover, the system goes beyond the hands-free control by providing voice feedback feature that ensures officers receive real-time updates about the current state of their equipment, such as camera modes or internet connectivity. This two way communication not only keeps officers informed but also reinforces confidence that the system is functioning as intended, further reducing distractions and the cognitive load on the driver.

Meanwhile, the system also improves the efficiency and effectiveness of compliance officers. 

AI Co-Pilot enables officers to add voice annotations to their captured data, providing additional insights or details that might be crucial for later analysis. This capability ensures that officers can quickly note important observations during a patrol without stopping to manually input data or type out notes. The use of voice for this task allows for more seamless data collection, without disrupting the flow of their duties.

The Force Capture feature also allows officers to take video memos of areas or situations of interest, further enriched by voice annotations. These video and audio logs can be reviewed later, providing a more comprehensive view of the events that transpired. This enhanced level of documentation can improve the quality and depth of investigations, making it easier to connect dots.

Finally, AI Co-Pilot’s Route Mapping feature provides officers with a summary of the paths covered during each scanning session, along with markers that indicate where detections were captured. This information can be accessed both in the vehicle and from a central office, streamlining the process of reviewing patrols and investigations. Officers and supervisors can easily search through routes, review key moments, and ensure that no critical areas were missed during a patrol.

Over time, this data can help build a more accurate picture to track patterns and identify hotspots, and why that is the case. Councils have a vague understanding that officers tend to write more tickets in a certain area, but with AI Co-Pilot, they’ll be better equipped to articulate enforcement efficiency and monitor how it changes (and the impact that improved enforcement has on those trouble areas).

Combining voice control, real-time feedback, voice annotations, and route mapping, SenFORCE’s AI Co-Pilot empowers law enforcement officers to make faster, more informed decisions, all while keeping hands on the wheel and staying focused on the road ahead. This innovative solution represents a leap forward in the role that AI will play in compliance and enforcement, and ensures that officers have the tools they need to perform their duties safely and effectively.