How K&B Transportation uses AI cameras to catch rolling stops and tailgating
Lance Evans, K&B's safety director, explains how AI-powered dashcams identify risky behaviors and what fleets still need human oversight to catch.
What driving behaviors do AI cameras flag at K&B Transportation?
AI-powered camera systems at K&B Transportation identify following too closely, rolling stops, and traffic signal violations, according to Lance Evans, the fleet's director of safety. The cameras feed data to coaching and training programs, giving safety managers specific incidents to review rather than relying on post-crash reconstruction or driver self-reporting.
Evans spoke with HDT in June 2026 about how the fleet uses data and artificial intelligence to improve safety and driver coaching. K&B operates dry van and refrigerated freight across the U.S., and the company has deployed phone-blocking technology, geofenced speed caps, and AI cameras to cut distracted driving in recent years.
Why AI camera data still requires human review
Evans emphasized that AI still requires human oversight. Safety managers must review flagged data for errors and verify that AI-generated content is accurate and useful before acting on it. The camera systems can misidentify events or flag behavior that falls within acceptable thresholds when road conditions or traffic patterns change.
Fleets that rely on AI-generated coaching without human review risk alienating drivers with false positives or missing context that explains why a driver braked hard or changed lanes abruptly. Evans did not specify which camera vendor K&B uses or how many false positives the fleet sees per thousand miles.
How fleets use AI camera data for driver coaching
K&B uses the camera data to build coaching sessions around specific behaviors rather than generic safety reminders. A driver who triggers multiple following-distance alerts in a week gets targeted feedback on that behavior, backed by video clips showing the exact gap and closing speed. Evans noted that the specificity improves driver buy-in compared to broad safety meetings.
Other fleets have embedded dashcam video directly into safety platforms to cut the time managers spend switching between systems. Fleetworthy embedded Lytx video into its Safety+ platform in June 2026, letting managers review video and driver data in one screen instead of logging into separate dashboards.
What this means for small fleets adopting AI cameras
Small fleets considering AI camera systems should budget for the human time required to review flagged events, not just the hardware and subscription cost. A three-truck fleet that generates 50 flagged events per week per truck needs someone to spend 5 to 10 hours reviewing video, filtering false positives, and preparing coaching sessions. That labor cost often exceeds the camera subscription in the first year.
Fleets also need a process for handling driver pushback when AI flags behavior the driver believes was safe given the circumstances. Evans did not detail K&B's appeal process, but fleets that deploy AI cameras without a clear escalation path see higher driver turnover when coaching feels arbitrary or punitive.
