Driving Innovation: Direct Imaging vs. Conventional Exposure
It’s Only Common Sense: Selling to Today's Generation of Buyers
Dan’s Biz Bookshelf: ‘Believe in Better'
FLIR Systems Announces AI Traffic Cameras for Predictive Traffic Management
November 11, 2020 | Business WireEstimated reading time: 1 minute
FLIR Systems, Inc. announced two intelligent traffic system cameras, the FLIR TrafiSense™ AI* with thermal imaging and the FLIR TrafiCam™ AI visible camera, both with artificial intelligence (AI) to optimize traffic flow on roadways and at intersections. When combined with the FLIR Acyclica™ cloud platform, cities can apply the 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 traffic systems are currently installed in 75 countries, and with the addition of TrafiSense 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 optimize 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 livable.”
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. With the ability to capture heat energy data through a thermal sensor within the TrafiSense 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 (V2X) connectivity, which will further improve road safety.
The FLIR Acyclica cloud platform provides the tools and analytics needed to better understand traffic data. When TrafiSense AI and TrafiCam AI are paired with the Acyclica cloud platform, cities can apply their AI-based learnings to real time data to make predictive traffic pattern changes for more efficient and safer cities.
Share on:
Suggested Items
Specially Developed for Laser Plastic Welding from LPKF
06/25/2025 | LPKFLPKF introduces TherMoPro, a thermographic analysis system specifically developed for laser plastic welding that transforms thermal data into concrete actionable insights. Through automated capture, evaluation, and interpretation of surface temperature patterns immediately after welding, the system provides unprecedented process transparency that correlates with product joining quality and long-term product stability.
Smart Automation: The Power of Data Integration in Electronics Manufacturing
06/24/2025 | Josh Casper -- Column: Smart AutomationAs EMS companies adopt automation, machine data collection and integration are among the biggest challenges. It’s now commonplace for equipment to collect and output vast amounts of data, sometimes more than a manufacturer knows what to do with. While many OEM equipment vendors offer full-line solutions, most EMS companies still take a vendor-agnostic approach, selecting the equipment companies that best serve their needs rather than a single-vendor solution.
Keysight, NTT, and NTT Innovative Devices Achieve 280 Gbps World Record Data Rate with Sub-Terahertz for 6G
06/17/2025 | Keysight TechnologiesKeysight Technologies, Inc. in collaboration with NTT Corporation and NTT Innovative Devices Corporation (NTT Innovative Devices), today announced a groundbreaking world record in data rate achieved using sub-THz frequencies.
Priority Software Announces the New, Game-Changing aiERP
06/12/2025 | Priority SoftwarePriority Software Ltd., a leading global provider of ERP and business management software announces its revolutionary aiERP, leveraging the power of AI to transform business operations.
Breaking Silos with Intelligence: Connectivity of Component-level Data Across the SMT Line
06/09/2025 | Dr. Eyal Weiss, CybordAs the complexity and demands of electronics manufacturing continue to rise, the smart factory is no longer a distant vision; it has become a necessity. While machine connectivity and line-level data integration have gained traction in recent years, one of the most overlooked opportunities lies in the component itself. Specifically, in the data captured just milliseconds before a component is placed onto the PCB, which often goes unexamined and is permanently lost once reflow begins.