Lenses for traffic systems

Intelligent Transportation Systems (ITS) rely on high-performance vision technologies and lenses to enable the real-time capture and analysis of images in traffic environments. Specialised optical systems play a crucial role in improving traffic flow, safety, and infrastructure efficiency, from vehicle detection to automated licence plate recognition (ALPR/ANPR) and pedestrian monitoring.

ITS camera systems with high-resolution and advanced lenses capture and analyse road scenes, including vehicles, cyclists and pedestrians. ANPR lenses, for example, ensure reliable recognition of licence plates even under challenging lighting and weather conditions. This data can be used to detect traffic violations, optimise signal timing, manage congestion or automate toll collection.

Additionally, vision-based sensors help to identify vulnerable road users at intersections or in crosswalks. By integrating these systems with traffic signal control, cities can enhance safety for pedestrians and cyclists through adaptive traffic management.

In cities such as Barcelona and Singapore, adaptive traffic signal control systems are used to dynamically manage traffic flow. These systems rely on a network of cameras, sensors and vision-based ITS technologies to monitor real-time traffic conditions, such as vehicle volumes, congestion levels and pedestrian crossings.

How it works:

Cameras with smart lenses capture live video of intersections. AI algorithms analyse vehicle movements, cyclist presence and pedestrian activity. Based on this data, the system adjusts traffic signal timing in real time to:

• reduce congestion during peak hours
• prioritise public transport and emergency vehicles
• increase safety for pedestrians and cyclists.

Result: 

Improved traffic flow, reduced emissions, a faster response to incidents and safer urban mobility — all driven by vision-enabled ITS components.

^{Urban intersection captured by a traffic camera system using high-performance lenses for adaptive traffic control and real-time monitoring of vehicles and pedestrians.}

Capture every detail with precision using ruggedized, high-performance optics for mobile mapping systems. Street mapping relies on advanced vision technologies to generate accurate 2D and 3D geospatial data. Key components in mobile mapping systems mounted on vehicles, drones, or surveying equipment, high-resolution lenses  deliver crisp image quality even in demanding outdoor environments. 

When integrated into automated mapping workflows, the lenses enable the acquisition of high-definition images for the extraction of road markings, traffic signs, building contours and other urban features. When combined with GPS and inertial sensors, as well as LiDAR or laser scanning technologies, these optical systems ensure centimetre-level accuracy in 3D street reconstruction.

Thanks to their robust design, these lenses can withstand shock, vibration and temperature variations, making them ideal for mobile use in GIS, urban planning, autonomous navigation and infrastructure inspection.

360° imaging solutions for street mapping and 3D urban modelling

Modern street mapping relies heavily on advanced 360-degree imaging technologies to capture seamless panoramic views of urban and rural environments. Typically mounted on vehicles or UAVs, these systems are designed to record synchronised, georeferenced image data of streets, infrastructure, buildings and natural surroundings.

Operators can generate highly accurate and navigable 3D city models using multi-sensor setups that combine panoramic imaging, GPS/IMU positioning and LiDAR-based depth data. 360° imagery enables the efficient inventory of assets, monitoring of road conditions, detection of traffic signs, and supports applications in smart city development, GIS and autonomous driving.

High-resolution 360° lenses ensure that every angle is captured with exceptional clarity, enabling accurate data extraction even at driving speeds. 

^{Aerial panoramic view of a city skyline with high-rise buildings and main roads, ideal for 360° street mapping, 3D urban modeling, and smart city applications.}

Quality and safety control of transport routes such as motorways and railway lines. Cameras are used on the underside of trains and trucks to check for defects.

Machine vision technology is used to check roads for cracks and potholes. In the case of rails, attention is paid to bolted joints and material defects such as cracks or material fatigue.

Cameras and advanced image processing systems are also used in the rail sector to check overhead lines for defects.
 

^{CITRINE Lens F1.4 8mm C-Mount Ruggedized}

The Solution: Ruggedized Machine Vision Lenses for Flawless Data Capture

Specialized machine vision lenses are used for this demanding task, known for their robustness and optical precision. Key features include:

• High Resolution: To detect microscopic cracks, missing fasteners, or minimal wear.
• Vibration Resistance: Ruggedized housings and locking focus and iris rings prevent settings from changing due to vibrations.
• High Light Sensitivity (low f/#): A large aperture allows for extremely short exposure times to "freeze" motion and eliminate motion blur, even at speeds exceeding 125 mph (200 km/h).
• Weatherproof Sealing: Protection against dust, moisture, and temperature fluctuations ensures reliable operation in all conditions.

^{A train-mounted machine vision system captures high-resolution images of the rail surface in real-time to precisely identify defects like cracks or wear.}