Toronto, ON - August 15, 2017 - Geotab today announced that Seeing Machines’ (AIM: SEE) driver-safety solution, Guardian Solution (Guardian), is now available in the Geotab Marketplace. Guardian is the latest Add-In application in the Marketplace, which launched in 2015 as a complement to the MyGeotab platform.
Seeing Machines, a leader in computer vision technologies, developed Guardian using advanced computer vision technology to detect and minimize driver fatigue and distraction events and associated accidents in commercial fleet applications such as trucking. The system has demonstrated it can achieve over 90% reduction in fatigue and distraction related driver events based on studies of worldwide deployment experience. Guardian provides real-time, in-cabin alerts when fatigue or distraction is detected by the driver facing sensors, which work in all light conditions including night driving and the use of sunglasses. A forward-facing camera monitors the road and captures event video for analysis and assistance with accident or liability claims - all of which can provide valuable driver training insights and help reduce insurance costs.
The Guardian application is further connected to a 24/7 monitoring center and cloud analytics engine that gives fleet owners a variety of customizable intervention and analytics programs to complement their driver training and wellness initiatives. Guardian integrates with Geotab’s fleet management solution so dispatchers and drivers can intervene upon confirmed detection of danger events or patterns, with cloud analysis reporting of events also available.
The Geotab Marketplace provides an extensive ecosystem of valuable business focused applications and Add-Ons, helping customers add value to their Geotab fleet management solution. Launched in 2015 as a complement to the MyGeotab platform.
“Geotab is a great partner fit for Seeing Machines and our culture of innovation in safety,”said Paul Angelatos, SVP Fleet Rail and Off-Road at Seeing Machines. “Seeing Machines is the industry’s first and leading machine learning video based drowsiness and distraction protection technology service with the goal now to accelerate our roll-out further with telematics leaders like Geotab, to protect drivers and fleets and improve road safety. The development of an integrated solution means Geotab customers can now readily add Guardian to their telematics solution.”
“As we continue to stretch our arms in the artificial intelligence and machine learning space, we look to partner with pioneers such as Seeing Machines in order to provide our customers with new and ground-breaking technologies to streamline workflows,” said Joey Marlow, Geotab Executive Vice President of U.S. Operations. “We are delighted to add Seeing Machines and its advanced computer vision technology, Guardian, to the Geotab Marketplace. With Guardian, we are able to dramatically increase safety for not only the truck driver, but surrounding motorists by preventing fatigued driving.”
Seeing Machines, (AIM: SEE) is an industry leader in computer vision technologies which enable machines to see, understand and assist people. Seeing Machines deploys its machine learning vision platform to deliver precision sensing and interpretation of heads, faces and eyes for this purpose. A key application today is Driver Monitoring Systems to manage drowsiness, distraction and cognitive state which is key enabling technology for automotive ADAS/Autonomous Driving as well as for Guardian, the Company’s retrofit commercial fleet solution. The Guardian telematics solution combines an in-cabin safety intervention system with 24/7 monitoring and cloud analytics services delivered on a SaaS basis which prevents accidents, saves costs and lives. The Company also serves Aviation, Rail, Off-Road and the broad precision eye tracking markets, and offers a range of solutions from embedded software and FOVIO processors to aftermarket system and service solutions. Seeing Machines is based in Canberra, Australia and has offices and people around the world. www.seeingmachines.com.