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How AI-Based
Cameras
Support
Preventive
Safety Protocols
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
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.

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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.