Beamr Imaging's Autonomous Vehicle Tech Validates 20%-50% Video Compression Savings
PorAinvest
viernes, 18 de julio de 2025, 7:24 am ET1 min de lectura
BMR--
The Beamr solution for autonomous vehicles maintains video quality perceptually identical to human viewers while ensuring stable Machine Learning (ML) results. This is achieved by using the company's Content-Adaptive Bitrate technology (CABR), which yields a 20%-50% saving on video used in the training process of autonomous vehicles' ML models without compromising the model's performance.
The development of autonomous driving relies heavily on video data. A single vehicle generates terabytes of video daily, and training a single autonomous model can require tens to hundreds of petabytes. Beamr's technology addresses the challenge of managing video data at scale, long-term storage, and significant infrastructure investment.
Sharon Carmel, founder and CEO of Beamr, expressed optimism about the progress made with the AV offering, stating, "We are encouraged by the progress that we have made so far with our AV offering, which has already been proven with successful PoCs with AV systems developers. We believe that this indicates the use of Beamr technology is indeed applicable to such fast-growing markets, like the AV market."
Beamr's technology is backed by 53 patents and has won the Emmy® Award for Technology and Engineering. It is trusted by top media companies including Netflix and Paramount, and it powers efficient video workflows across high-growth markets such as media and entertainment, user-generated content, machine learning, and autonomous vehicles.
For more details, please visit [Beamr's website](https://www.beamr.com/autonomous).
References:
[1] https://www.globenewswire.com/news-release/2025/07/18/3117832/0/en/Beamr-Reports-Entering-PoCs-in-Video-Data-Compression-Solution-for-Autonomous-Vehicle.html
NFLX--
Beamr Imaging, a video optimization technology leader, has further validated its GPU-accelerated solution for autonomous vehicles. The company engaged in multiple Proof of Concepts with system developers, resulting in successful validation of its technology's contribution to the autonomous vehicle industry. Beamr's solution demonstrates that it can keep video quality perceptually identical to human viewers and maintain stable Machine Learning results, resulting in a 20%-50% saving on video used in the training process.
Beamr Imaging Ltd. (NASDAQ: BMR), a leader in video optimization technology, has further validated its GPU-accelerated solution for autonomous vehicles. The company recently completed multiple Proof of Concepts (PoCs) with system developers, successfully demonstrating the technology's contribution to the autonomous vehicle industry.The Beamr solution for autonomous vehicles maintains video quality perceptually identical to human viewers while ensuring stable Machine Learning (ML) results. This is achieved by using the company's Content-Adaptive Bitrate technology (CABR), which yields a 20%-50% saving on video used in the training process of autonomous vehicles' ML models without compromising the model's performance.
The development of autonomous driving relies heavily on video data. A single vehicle generates terabytes of video daily, and training a single autonomous model can require tens to hundreds of petabytes. Beamr's technology addresses the challenge of managing video data at scale, long-term storage, and significant infrastructure investment.
Sharon Carmel, founder and CEO of Beamr, expressed optimism about the progress made with the AV offering, stating, "We are encouraged by the progress that we have made so far with our AV offering, which has already been proven with successful PoCs with AV systems developers. We believe that this indicates the use of Beamr technology is indeed applicable to such fast-growing markets, like the AV market."
Beamr's technology is backed by 53 patents and has won the Emmy® Award for Technology and Engineering. It is trusted by top media companies including Netflix and Paramount, and it powers efficient video workflows across high-growth markets such as media and entertainment, user-generated content, machine learning, and autonomous vehicles.
For more details, please visit [Beamr's website](https://www.beamr.com/autonomous).
References:
[1] https://www.globenewswire.com/news-release/2025/07/18/3117832/0/en/Beamr-Reports-Entering-PoCs-in-Video-Data-Compression-Solution-for-Autonomous-Vehicle.html
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