Beamr Lossless Compression Demonstrated at Autonomy Events
News related to:Beamr Imaging Ltd · 3 min read
Herzliya, Israel, Sept. 22, 2026 /CourierPR/ -- Beamr Imaging Ltd. and Intempora, a subsidiary of the dSPACE group, are demonstrating a new compression solution for the RTMaps middleware platform at two upcoming industry events. The companies will showcase Beamr’s ML-Safe lossless compression technology for RTMaps, which allows for real-time, lossless video data compression in the test vehicle, reducing the volume of data captured by up to 47% compared to raw 12-bit Bayer camera output. This technology is designed to alleviate the significant challenges faced by autonomous vehicle and ADAS teams in managing massive video datasets.
The demonstration will be presented at AutoSens Europe in Barcelona, Spain, from September 22 to 24, where it will be located at stand 131. Additionally, the companies will present their solution at the dSPACE User Conference in Santa Clara, California, on September 23. This event will provide attendees with a comprehensive understanding of how Beamr’s ML-Safe lossless compression can be integrated into the RTMaps pipeline, enabling teams to capture more data in their test vehicles and move it more efficiently to the cloud.
The demonstration will highlight Beamr’s ML-Safe lossless compression technology, which is designed to preserve the integrity of the data captured in the test vehicle, even as it reduces the file size by up to 47%. This is achieved through the use of Beamr’s perceptual optimization technology, which is backed by 53 patents and has won an Emmy® Award for Technology and Engineering. The technology reduces video file sizes by up to 50% while preserving quality and enabling AI-powered enhancements.
Intempora, a leading software company based in Paris, has been a pioneer in providing advanced software solutions for autonomous driving for over 25 years. Since 2020, Intempora has been a subsidiary of the dSPACE group, which offers a seamless end-to-end development and testing toolchain for autonomous systems. Intempora’s involvement in the demonstration underscores its commitment to providing comprehensive solutions for the autonomous vehicle and ADAS industries.
The demonstration will also feature Beamr’s content-adaptive compression technology, which reduces video data load by up to 50% while preserving ML model accuracy. This technology, combined with Beamr’s ML-Safe lossless compression, offers RTMaps users two modes to apply across their pipeline, allowing teams to make informed decisions based on the specific needs of each development stage. The content-adaptive compression technology enables teams to capture more data in the vehicle, move it faster, and at lower cost, while the ML-Safe lossless compression ensures that data integrity is maintained, even in critical applications.
The release states that Beamr’s lossless compression technology reduces video data by up to 47% on recordings from eight 8-megapixel cameras, nearly doubling how much each vehicle can capture. This reduction in file size significantly impacts the volume of data that needs to be moved off the vehicle, shortening the time it takes to get recordings to the cloud. This is particularly important for autonomous vehicle and ADAS teams, who are constantly generating large volumes of video data that must be managed and stored efficiently.
The release also mentions that Beamr’s perceptual optimization technology is backed by 53 patents and has won an Emmy® Award for Technology and Engineering. This recognition underscores the technological superiority and reliability of Beamr’s solutions, further validating the value of their lossless and content-adaptive compression technologies for RTMaps users.
In conclusion, the demonstration of Beamr’s ML-Safe lossless compression for RTMaps at the AutoSens Europe and dSPACE User Conference events will provide valuable insights into how these technologies can be integrated into the autonomous vehicle and ADAS development process. The reduction in data volume and the preservation of data integrity will enable teams to manage their data more effectively, ultimately leading to more efficient and accurate autonomous vehicle and ADAS development.