Bird’s-eye view of students waiting to cross the street at their school bus stop as a motorist illegally passes the stop arm and flashing red lights. Safe Fleet’s Predictive Stop Arm uses AI-enhanced software to determine when the speed of a vehicle indicates it will not stop in time and sounds an alarm to students as well as the school bus driver.
helpless against violators. “Bus drivers were calling on the radio and saying I
got a license plate number, but there was really nothing we could do because there wasn’t a police officer there,” Byrd said. “If it was frequent, I would contact the police department and they would actually send over an officer because they really took that serious.” In addition to BusPatrol cameras, Byrd installed the
Zonar Coach on his training bus, which tracks driver behavior, for example, recording when drivers make hard stops or overturn. Looking down the road, Byrd said weighing products that promise to alert drivers when students are detected in the danger zone. Meanwhile, Rob Scott, vice president of strategy at
video camera and storage manufacture 247Security, said product development is driven by customer needs, like the addition of sensors that detect vape use. “You look around and say, ‘Okay, well, what can we do
now to make to make our solution better for the con- sumer?’” Scott observed. “If we go back 10 years, and think about what we were producing then, if we had sat on that and thought, ‘Okay, well, this is good enough,’ I
32 School Transportation News • MAY 2025
think we’d be in trouble today.” Scott said today’s transportation managers are asking
for more real-time footage and better ways of sorting through the plethora of feeds. “From a video standpoint, we’ll continue to look at that
formula of getting video in front of the right person the right time,” Scott said.
Learned Behavior At the same time, many advancements work best with, not in place of, the driver. Although Netradyne’s stop- arm cameras can automatically capture violator footage, company President Adam Khan stressed the importance of keeping drivers on the loop and engaged. “You can never really walk away from partnering with
the driver, so if the driver can flag the footage to say, ‘Hey, I got to a stop and there was a big dog and that’s why I didn’t drop the kids off, or I was late, or I couldn’t move,’ you still want that,” Khan said. “If you do this out- side of the driver in a vacuum, you’re only going to get very simple results.” Additionally, Khan said new AI-tools can give drivers
PHOTO COURTESY OF SAFE FLEET.
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