Invision AI is developing sensing and computing capabilities for rail systems in Canada that can operate in severe winter conditions as part of a Can$1.4m project.
Within a six-month period, the system was prototyped and installed on a Metrolinx Go train, operating on multiple lines in Toronto, Ontario.
The system is installed on the front of the train and includes radars, cameras and Lidar along with a cyber-secured 4G/LTE connected data collection and processing system.
Invision AI says these technologies collect data which can then be used to train the system to recognise obstacles and other dangers.
The data gathering activities will continue for an additional six months in different weather and environmental conditions.
Additionally, the technology equipped on the train is providing real-time information and data such as next-generation positioning, train telemetry and diagnostics information.
Invision AI insists the solution will provide operators with enhanced safety and 'look ahead' sensing to detect and track potential obstacles and accurate real-time data collection for maintenance and operations teams.
According to Invision AI, the solution will contribute to fewer delays and improved safety for passengers.
Caroline Mulroney, Ontario minister of transportation, says: “No matter what the weather is, safety within Ontario’s transit networks remains our top priority. This partnership between Metrolinx, Thales and Invision AI shows the potential benefit emerging technologies could have on the future of transit in our province.”
The Ontario government’s contribution to this project, through Avin’s WinterTech Development programme, of $483,600 leveraged funds of $992,760 from Invision AI, Thales Canada and Metrolinx.
The Avin's WinterTech Development programme supports small and medium-sized enterprises and their partners by commercialising winter-ready innovative mobility solutions.