Skip to main content

Teledyne Flir cameras demonstrate AI capabilities

Detectors will distinguish between cars, vans, small and large trucks, bicycles and motorbikes
August 23, 2023 Read time: 2 mins
Traficam AI: embedded technology

At Teledyne Flir our AI cameras and sensors are significantly more successful in detecting different vehicle and other road user classes. 

Detectors from Flir will easily distinguish between cars, van small and large trucks and lorries, bicycles and motorcycles. Where GDPR compliance is a challenge we can offer Thermicam AI (below), which has a thermal sensor able to classify between vehicles and pedestrians but without the facial detection and recognition capabilities. 

Our system can even be taught to recognise customised classes. Our AI detectors are better at predicting trajectories. Based on vehicle parameters such as speed and direction, they can easily detect position, speed and heading even if, after having initially detected a vehicle, it then becomes occluded - making vehicle detection and classification much faster and more accurate. Another promising application of our AI range of products is that they enable setting up a digital twin of urban intersections and interurban environments. 

The digital twin is a concept that has already been popular in the manufacturing and production industries for many years. But instead of the virtual, real-time representation of business processes, tunnel operators can use the digital twin to get a complete overview of all traffic operations and activities. A digital twin establishes the exchange of data between the physical systems and their virtual representation. 

Based on this wealth of data, a digital twin can then generate a real-time bird’s eye view of traffic, offering operators an invaluable source for decision-making. Our AI cameras, like Teledyne Flir’s Thermicam AI and Traficam AI, also have their AI embedded into the camera. This means that it is not necessary to send camera data over the network to a central server or cloud service for processing. As a result, the network is not overloaded when there is no detection, and detection can happen with much less latency. 

To find out more about our AI capabilities, visit www.flir.co.uk/traffic/its-ai

Content produced in association with Teledyne Flir


 

For more information on companies in this article

Related Content

  • Flir traffic webinar
    October 16, 2015
    Flir Traficon Academy has organised an informative webinar on 29 October that it says will teach participants more about keeping traffic flowing. According to Flir, one of the biggest challenges for ITS specialists is handling a wide variety of road users. For many years, dedicated detection solutions used to be required for a reliable detection of pedestrians, cyclists, and vehicles. The webinar will show how Flir’s ThermiCam/TrafiSense sensor can be used for pedestrian presence detection, bicycle p
  • Step into the future with Yutraffic Studio
    November 20, 2024

    Yunex Traffic has announced the launch of Yutraffic Studio, a groundbreaking platform designed to revolutionize urban traffic management. With six innovative customers already on board, Yutraffic Studio is poised to transform how cities manage and optimize their transportation systems.

  • Flir online training in September
    September 12, 2016
    Flir’s traffic webinars during September provide an introduction to the TrafiOne smart city sensor for traffic monitoring and dynamic traffic signal control. TrafiOne uses thermal imaging to detect the presence of pedestrians and cyclists that are approaching and waiting at the kerb or using the crossing. What’s new in FLUX 3.0 looks at the new features of this video management system, which collects traffic data, events, alarms and video images created by a wide variety of video detection modules. Th
  • Transit takes on demanding role
    April 2, 2021
    Community transport - or paratransit - has historically formed the basis of demand-responsive operations. But with new routing technologies, David Crawford sees wider potential