Put a Spotlight on Safety Violations with Computer Vision
Atollogy’s proprietary computer vision algorithms have been helping yard operations for over two years. Initially, clients asked us to improve cycle times and other efficiency issues with 24×7 monitoring, analytics, and alerts to bottlenecks. Over the last twelve months, many of these clients asked us to look for safety and security violations. Ironically, the same areas of interest to spot safety violations also help to improve security in that the smart monitoring never blinks and can detect unauthorized people and equipment with time-stamped license plate capture and vehicle/person image capture day or night.
The safety requests include speeding violations, illegal turns, unauthorized leaving of vehicles, and unsafe safe rack usage. Safety racks have been widely adopted to improve safety in rail and truck loading operations. When used properly, they significantly reduce the chances of accidental falls from the tops of rail cars and bulk hauling trucks. Problems arise when poorly trained and/or inexperienced drivers misuse the equipment. In these cases, the chances of severe injuries increase dramatically.
In 2018, The National Safety Council calculated the cost per medically consulted injury in 2018 was $41,000, while the cost per death was $1,190,000. These figures include estimates of wage losses, medical expenses, administrative expenses, and employer costs, but exclude property damage costs except to motor vehicles.1 It is not unusual for a major OSHA investigation to take over six months and consume plenty of senior management resources. Fatal accidents also exact a major emotional toll on any organization.
Atollogy has developed a great balance between computer-vision and human-verified output to capture, identify, and analyze safety violations. It includes the ability to categorize violations’ severity from minor to the most critical. With license plate recognition, the worst safety offenders can be spotlighted.
In this example, the most severe violations are highlighted with timestamps, location, violation types, image capture of the incident, and a link to the video.
In this incident, we see one of the most dangerous examples of the misuse of any safety equipment. The driver has lifted the cage and is working outside of its profile and is not of any use. There is nothing to prevent him from falling off his truck.
One of the most valuable features of the Atollogy solution is to highlight major offenders. It should not come as any surprise that a handful of drivers represent a vast majority of violations.
There is an ever-growing shortage of experienced drivers and equipment operators. Any OSHA-reported accident brings major financial costs and emotional stress to all sizes of operations. It makes good sense to invest in Atollogy’s computer vision to reduce accidents through automated monitoring and alerts. Atollogy offers a simple to deploy, and effective solution that pays for itself the first time an accident is prevented.