Martin Audio Released Display 3 Software
The 3D prediction tool aims to enhance precision for complex sound system designs and venue modeling.
Updated on Sept. 22, 2026 in Software
Martin Audio has launched its Display 3 software, a 3D audio prediction and optimization tool designed to improve accuracy in sound system configuration. The company also rolled out an update to its VU-NET platform to assist with system verification and diagnostic tasks.
Why it matters
The software update seeks to increase both design speed and prediction precision for complex venue models. By streamlining array configuration, it allows engineers to achieve more consistent results in challenging acoustic environments.
Display 3 delivers verified prediction accuracy within ±1dB of real-world results and provides up to 30dB of sound rejection through the Hard Avoid function. The updated VU-NET 2.3.5 platform introduces new LED and Mute modes for improved system verification.
The players
Martin Audio
Martin Audio is a global manufacturer of professional loudspeaker systems and sound reinforcement solutions.
The details
The Display 3 software blends mechanical angle optimization with DSP filtering to automatically configure arrays based on user-defined venue regions. Engineers can also utilize the Don't Care designation to strategically focus DSP resources and retrieve diagnostic files from networked iKON amplifiers.
Timeline
September 22, 2026: Martin Audio moved Display 3 into full release.
The Tech Race
This release continues the shift toward integrated software ecosystems where 3D modeling directly informs hardware amplifier settings. It follows the industry trend of replacing manual, iterative calibration with automated DSP filtering protocols to reduce setup time.
Engineers and system integrators can expect faster project turnaround times due to the software's automated array configuration capabilities. The inclusion of diagnostic file retrieval from iKON amplifiers further simplifies maintenance and system health verification for users.
The takeaway
The integration of predictive modeling and hardware diagnostics allows sound engineers to minimize human error during system setup. Users should prioritize updating their network protocols to ensure full compatibility with the new diagnostic features.
Further reading
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