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Research: Drone video effective in identifying multiple vehicle collision hazards
Investigators found no difference in first responder recognition of scene hazards between a walk-around size-up and UAS flyover video
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By Greg Friese, P1 Contributor
Emergency responders have proposed numerous uses for drones to size-up incidents, deliver supplies or look for missing persons. Researchers in Prince Edward Island, Canada, compared the effectiveness and time to conduct a multi-vehicle collision scene size-up with a drone video versus the standard practice of direct visualization and walk around.
Their research, "Comparison of Unmanned Aerial Vehicle Technology Versus Standard Practice in Identification of Hazards at a Mass Casualty Incident Scenario by Primary Care Paramedic Students" was published in Disaster and Public Health Preparedness.
Twenty-one University of Prince Edward Island primary care paramedic students participated in the prospective observational cohort study. Students completed a standardized 30-minute scene lecture on hazard identification in mass casualty and disaster incidents. Next the students were given an hour introduction to unmanned aerial vehicle technology by a UAS pilot.
Researchers created a full-scale, 10-car collision with seven hazards:
- Power line
- Fuel spill
- Active shooter
- Unstable vehicle
- Hazardous material placard
- Potential explosive
Students were randomized into either a UAS group or Standard Practice (SP) group.
After a short briefing, students were directed to the scene or the UAV ground station. SP participants walked the scene verbalizing hazards to a researcher. UAV participants directed the UAV pilot and verbalized hazards as they saw them on a video monitor to a researcher. The time to complete hazard identification was measured, as well as the order hazards were identified.
Participants in both groups identified all of the hazards. Students in the UAV group had a mean time to identify all seven hazards of 3 minutes and 41 seconds. Students who walked the scene identified the hazards in a mean time of 2 minutes 34 seconds. This difference was not statistically significant.
Memorable quotes on scene size-up with a UAV
The researchers acknowledged several limitations with the study, including a small convenience sample of participants. Here are four memorable quotes from the research article:
"Despite a proliferation of UAV technology, we were unable to find any studies that compared UAV technology to standard practice (SP) in this context."
"This study did not demonstrate a statistically significant difference in the time to hazard identification between the UAV and SP group."
"We demonstrated that this technology allowed the primary care paramedic student to correctly identify all hazards from a safe distance without exposure that could cause harm."
"This study demonstrated the accurate, safe, and feasible use of UAV technology in the identification of hazards at a MCI scenario by primary care paramedic students."
Key takeaways of unmanned aircraft system training for police
Here are four takeaways for police trainers and incident commanders on use of an unmanned aircraft system for scene-size-up and other public safety applications:
1. Replicate methodology for UAS size-up training
This research describes an easy to replicate or modify curriculum for teaching emergency responders about hazard identification and using UAS video versus a 360-walk-around for scene size-up. Police trainers are encouraged to follow or customize the methodology described by the researchers for upcoming mass casualty incident full-scale exercises.
2. Sequence education activities for student success
Every student identified all seven hazards, regardless of their size-up methodology. The progression or sequence of activities sets students up for a successful learning experience.
The instructional method of "hear one, see one and do one" is a tried and true practice for public safety education. How well do your regular training activities match this sequence?
- Classroom instruction to teach or refresh foundational knowledge through lecture, group discussion, case review and other types of active learning.
- Demonstration and supervised practice of skills through use of video, low- and high-fidelity simulation and functional competency assessments.
- Full-scale exercises and team leader assessments for students to put all of the different skills together into a continuous and dynamic assessment.
3. Hazard identification is not always this easy
Students quickly identified all of the hazards because they knew they were being assessed on identification of hazards.
Law enforcement researchers have looked at hazard recognition in academy recruits and experienced officers. A study conducted at the University of Illinois Police Training Institute involving 100 recruits and 75 veteran officers found that many officers in both groups failed to notice a gun at any point during a simulated stop.
Research of patient care documentation used paramedics with body-worn cameras in a simulation that had multiple complexities and stressful stimuli, such as firearms, drug paraphernalia and a distraught family member. While watching the body-worn camera video, it is obvious that some of the hazards go unrecognized by the paramedics.
4. UAS education for public safety personnel
UAS video, either owned or operated by public safety personnel, or made available to an incident commander from a bystander or media partner, is likely to be an increasingly common occurrence. All public safety personnel have an obligation to learn the potential uses for UAV technology, including drawbacks and regulations regarding use.
The study required students to direct a UAV operator over and around the simulated MCI. The researchers propose cross-training paramedics as UAV operators. Another option would be pre-deployment or just-in time training on preferred terms and instructions for directing the drone operator.
Have you incorporated drones into incident size-up training for academy recruits or experienced police officers? Share your successes and lessons learned in the comments.
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