Traffic camera maker FLIR has added artificial intelligence to its traffic camera software which it says optimises traffic flow on roads and at intersections.
It says that, combined with its Acyclica cloud platform its ThermiCam and TrafiCam cameras can be used by cities to apply AI-camera data to predict traffic, prevent congestion and potential accidents, and create safer roads for drivers, cyclists, and pedestrians 24 hours a day.
FLIR says the AI-enabled cameras help control traffic dynamically at the edge through real-time data capture and processing, and provide input to traffic signal controllers at intersections, which improves traffic flow and safety in the moment.
The company adds that with the ability to capture heat energy data through a thermal sensor within the ThermiCam AI, and a visible low-light, high-definition sensor within the TrafiCam AI, cities’ traffic signals have complete continuous monitoring, in all weather conditions and even through smoke for tunnel monitoring. The cameras are also Wi-Fi enabled for travel time calculations and other origin-destination applications. In the future, the cameras can be retrofitted with 5G cellular antennas to support vehicle-to-everything connectivity, which will further improve road safety.
“FLIR traffic systems are currently installed in 75 countries, and with the addition of ThermiCam AI and TrafiCam AI, FLIR now offers a fully integrated solution that enables traffic engineers and city planners to apply AI-based learnings to continuously optimise traffic flow,” said Rickard Lindvall, General Manager, Solutions Business, FLIR Systems. “The integrated solution enables cities to improve urban roadway design to make cities safer and more liveable.”
