Skip to main content

Theia Technologies works to cover the angles

Rectilinear lenses provide ultra-wide field of view without distortion
March 1, 2025 Read time: 2 mins
When covering large areas, reducing costs by installing fewer cameras requires the use of wide-angle lenses

When covering large areas such as intersections, wide-lane highways and parking lots, reducing costs by installing fewer cameras requires the use of wide-angle lenses. Traditional ultra-wide angle lenses cause fisheye or barrel distortion, leading to curved and compressed images, which reduce resolution at the edges. 

Similarly, systems that install fisheye lenses require costly and time-consuming software correction. These issues greatly limit object identification and recognition capabilities mandatory for ANPR, LPR and intelligent traffic systems. 

Theia Technologies has developed a suite of rectilinear lenses that provide an ultra-wide field of view without barrel distortion or edge resolution loss. Unlike fisheye lenses, Theia’s patented Linear Optical Technology corrects distortion optically, eliminating the need for image correction software and avoiding associated processing delays.

By offering horizontal fields of view up to 135 degrees with very low distortion, Theia’s lenses allow for effective monitoring of intersections,  parking lots and multiple lanes with fewer cameras. This leads to lower installation and maintenance costs while maintaining comprehensive coverage. Fewer cameras also mean reduced power, data processing, storage and bandwidth requirements, improving overall efficiency.

Theia’s ultra-wide lenses support real-time monitoring, crucial for traffic flow and congestion analysis, accident detection, and law enforcement. Their high-resolution, distortion-free imaging ensures accurate object detection and license plate recognition, enabling wide coverage from short working distances. 

Modern traffic management and surveillance require high-performance, wide-angle lenses capable of delivering high-resolution images in real-time. Unlike fisheye lenses that introduce distortion and require software correction, Theia’s rectilinear lenses correct distortion optically, maintaining image clarity and reducing latency. With ultra-wide coverage and cost-effective implementation, Theia’s lenses offer a superior solution for a variety of ITS applications.

Content produced in association with Theia Technologies

Related Content

  • Saving the smartphone zombies from themselves
    October 15, 2020
    As roads – particularly in cities – become busier, companies are fielding a steady trickle of products to keep pedestrians safe and vehicles flowing
  • Women in ITS: "You can’t be what you can’t see"
    March 4, 2025
    Bias – unconscious or otherwise – is a major problem when it comes to ensuring that ITS businesses reflect the diversity of the talent pool available to them. But there are practical solutions to challenges which have made the playing field uneven…
  • Debating the future development of ANPR
    July 31, 2012
    What future is there for automatic number plate recognition? Will it be supplanted by electronic vehicle identification, or will continuing development maintain the technology's relevance? In recent years, digitisation and IP-based communication networks have allowed Automatic Number Plate Recognition (ANPR) to achieve ever-greater utility and a commensurate increase in deployments. But where does the technology go next - indeed, does it have a future in the face of the increasing use of, for instance, Dedi
  • SPONSORED CONTENT: Using AI to achieve real traffic intelligence
    June 3, 2020
    The application of artificial intelligence has the potential to transform the performance of vision-based systems used for a wide and growing set of applications. These include vehicle presence detection and identification, count and classification, and enforcement, explains Roy Czinku of International Road Dynamics