Automated Triaging - AI Watches the Videos and Recommends What You Need To Act On

As video telematics becomes more popular, there is a problem that no one is talking about but everyone feels acutely. With the ever-increasing use of AI to detect risky driving and alert drivers, more alerts are being given to the drivers to reduce risk in real-time. This is great. The problem is the mountain of videos that are dumped on the fleet personnel for review!

‍

For example, a 100-vehicle fleet generating five events daily will mean 500 videos uploaded daily! The number of videos generated (and to be reviewed) increases exponentially for a larger fleet with thousands of vehicles.

‍

When faced with a mountain of videos and unable to review them, most fleet managers will switch to a reactive mode. This deprives the fleet of the benefit of reducing risky driving with coaching. Fleets want to improve driver engagement, commend good driving, and coach drivers to reduce risk. But where do they start?

‍

Triaging in the context of video telematics refers to figuring out which among the thousands and hundreds of videos matter, which to review, and which to act on. This is such a big problem that some enterprise fleets have a safety department to review videos manually, while other video telematics providers offer a manual review service! Both these options are not only expensive but also not feasible for everyone.

‍

Picture this: What if there was a way that AI would review the videos and surface only those event videos that are particularly risky? What if you could configure the system to indicate what risky behaviors matter to the fleet the most? This way, time will be better spent engaging the drivers than sifting through the mountain of videos.

‍

Automated Triaging  

‍

Instead of bombarding fleet managers with endless alerts and event videos, RideView’s Automated Triaging acts as an intelligent filter, ensuring that only the most relevant and high-risk events are shown for review. It eliminates the manual grind of sifting through hours of video, allowing teams to focus on what truly matters: coaching drivers and improving safety.

‍

Why does this matter?

‍

Previously, fleet managers had to select events based on their configurations manually. Now, the system intelligently automates selection by prioritizing the most critical safety incidents, reducing manual effort and inconsistencies. For example, if a driver habitually uses the cellphone while driving and triggers 20 events a day, does one need to review 20 event videos to know that this driver has a problem with using the phone while driving? Similarly, if a driver has the habit of tailgating, does a safety manager have to review all the tailgating event videos to know that this driver has to be coached on avoiding tailgating?  Traditional systems miss the bigger picture, creating an overload of event videos to be reviewed. Faced with a mountain of event videos dumped on them, the fleet personnel either spend time reviewing numerous videos (often repetitive) or ignore them (more dangerous!).

‍

The Automated Triaging cuts through the clutter by:

• Using AI to select events: The AI understands the severity or the level of risk associated with each risky event or risky behavior and can showcase videos that cross a risk threshold only. The fleet will still know that there were more event videos, and they can opt to view them.
• Reducing repetitive videos: Drivers with risky habits have repetitive behaviors, and as a result, numerous videos are created in a single day or sometimes even during the same trip. Viewing 1-2 videos of a driver's behavior is enough for the safety personnel to get a complete picture of the behavior they need to address through coaching.
• Saves time: Time is a precious commodity for fleets of all sizes—tools are meant to save effort and time. By reducing repetitions and showcasing the highest-severity risky event videos, the fleet personnel save a lot of time—time that can be spent speaking to the drivers.

‍

The power of AI-driven event selection

‍

At the heart of Automated Triaging is advanced AI that doesn’t just react – it analyzes and understands. Here’s how it works: After each trip, the system automatically reviews events and flags those needing coaching based on their severity and the specific rules you've set for your fleet. It's like having a safety expert working 24/7!

‍

A large construction fleet that takes safety very seriously was the first to try out the automated triaging - the feedback was overwhelmingly positive. The safety department would identify the drivers to be coached using automated triaging and, if needed, go into more safety events for a particular driver depending on need. They reduced the frequency of risky events by nearly 70% by spending more time engaging with drivers and coaching them rather than sifting through many videos.

‍

‍

Additionally, if the fleet has enabled driver-facing AI, the system will automatically prioritize drowsy driving events. It smartly selects events for everything else based on how often they occur. It even has a rule to prevent overkill: it won't select more than five events of the same behavior. For example, even if a driver has 20 speeding events, you'll only need to review the five most severe ones to convey the message. 

‍

Of course, you're always in control. Even with automated selection enabled, you can still manually select events for coaching. The manually selected events will not be subject to the automated system's limits.

‍

What sets RideView apart?

‍

It is all about using AI for improved UX and improved outcomes!  Unlike expensive manual review processes and expecting fleets to review many videos, our AI-powered triaging method systematically prioritizes critical safety events, allowing fleets to spend their valuable time on coaching efforts. The difference is clear: While other solutions dump safety event videos demanding manual review, RideView automates triaging using AI-driven filtering. This smart filtering prioritizes the truly high-risk events, reduces the load of videos from repetitive behaviors, and streamlines the entire coaching process – ensuring fleet managers spend less time sifting through videos and more time enhancing fleet and driver safety.

‍

In an industry where every second counts, Automated Triaging is not just an upgrade – it’s a necessity. This is Video Telematics 3.0, where UX and outcomes come first, not features!

‍