Robert Rogulic, a transportation industry executive, attended a webinar about an executive's experience implementing AI-based cameras as part of a transformational safety solution. AI software coupled with video cameras can maintain indefinite focus on safety issues, alerting managers to take proactive steps. This combination of computer vision and AI uses existing camera networks to detect abnormalities and report them to safety teams in real time, serving as a multiplier to protect facilities, vehicles, and ensure employee safety on the job, unlike traditional reviews after accidents occurred.

1. How AI-Based
Cameras
Support
Preventive
Safety Protocols

2. Robert Rogulic is a longtime transportation industry executive
who directs Tri-National, Inc., as a provider of door-to-door
freight movement solutions. A member of the Truckload
Carriers Association (TCA), Robert Rogulic closely follows new
developments in his field. A TCA webinar focused on one
executive’s experience in implementing AI-based cameras as
part of delivering a transformational safety solution.
A key aspect of the AI equation is that, after only 18 minutes
of viewing camera footage, one’s ability to recognize
aberrations diminishes significantly. By contrast, AI-based
software systems, coupled with video cameras, can maintain
focus indefinitely on behaviors and activities that present
safety issues. Alerts are transmitted to safety managers, who
then are able to take proactive steps to avoid incidents.
This combination of computer vision and AI takes advantage
of already deployed networks of cameras. Traditionally, tapes

3. would be reviewed once accidents occurred, with lifesaving
rules retroactively developed through observing what went
wrong. The approach of detecting abnormalities and
reporting to safety teams in real time serves as a multiplier in
protecting facilities and vehicles, as well as ensuring the
continued safety of employees on the job.