Wednesday, May 6, 2026
No menu items!
HomeDroneTeledyne FLIR OEM Launches Prism Software to Detect Small Drones at Longer...

Teledyne FLIR OEM Launches Prism Software to Detect Small Drones at Longer Range

New AI-enabled software aims to identify small drone threats earlier and support faster response

Teledyne FLIR OEM, part of Teledyne Technologies Incorporated, has announced the launch of Prism C-UAS, a new software solution designed to improve the detection and tracking of small, hard-to-detect drones.

Teledyne FLIR OEM Launches Prism Software to Detect Small Drones at Longer RangeTeledyne FLIR OEM Launches Prism Software to Detect Small Drones at Longer Range

The company positions Prism as a software layer that enhances existing counter-UAS systems. It uses thermal imaging and artificial intelligence to extend detection range and provide earlier warning of potential threats.

Focus on Early Detection of Small Drones

Prism C-UAS is designed to detect drones that appear extremely small in sensor data. According to the company, the system can identify targets with fewer than four pixels on screen. This capability allows operators more time to respond before a drone reaches a protected area.

The software combines thermal infrared image processing with AI-driven perception. It applies algorithms that improve signal clarity and enhance contrast, helping sensors pick up weak or distant targets.

Once a potential drone is detected, the system passes the data to an AI-based object detector and a multi-object tracker. These components help maintain continuous tracking and reduce false alarms.

Teledyne FLIR OEM highlights the importance of software in modern counter-UAS systems.

“Software has become a defining performance differentiator in today’s C-UAS environment,” said Jared Faraudo, vice president of product management at Teledyne FLIR OEM. “Prism C-UAS enables sub two x two-pixel drone detection and tracking, providing a significant increase in drone detection range over conventional systems.”

Designed for Integration Across Systems

Prism C-UAS is not a standalone system. Instead, it is built to integrate with a range of sensors and platforms. The software supports Teledyne FLIR OEM’s Boson+ and Neutrino infrared camera families, as well as selected commercial visible cameras for multispectral configurations.

This approach allows system integrators to combine thermal and visible data. The goal is to improve detection accuracy and provide more reliable tracking across different environments.

The software also aims to reduce integration challenges. By working with existing hardware, Prism can be deployed within a variety of counter-UAS architectures.

Addressing a Growing Security Challenge

The launch comes as drone activity continues to increase in sensitive areas. According to the Federal Aviation Administration, more than 100 drone incursions occur each month near U.S. airports. In addition, the Department of Homeland Security reported more than 60,000 drone flights near the U.S.-Mexico border in a six-month period.

These trends highlight the need for earlier detection and faster response. Small drones are often difficult to detect at long distances, especially when they occupy only a few pixels in sensor data.

By improving detection at these limits, Prism C-UAS aims to extend the decision window for operators. More time can allow for a wider range of response options, including non-kinetic measures.

Software as a Differentiator in Counter-UAS

The introduction of Prism reflects a broader shift in the counter-UAS market. Many systems rely on similar sensors, such as radar, RF detection, and electro-optical cameras. As a result, software has become a key area of differentiation.

Teledyne FLIR’s broader counter-UAS portfolio combines multiple sensor types with analytics to detect, track, and classify airborne threats in real time.

Prism builds on this approach by focusing on the perception layer. It processes raw sensor data and converts it into actionable information for operators.

As drone activity continues to expand, tools that improve detection range and reduce response time may play a growing role in airspace security.

Read more:

RELATED ARTICLES

Most Popular

Recent Comments