- Beamr Imaging Ltd. (BMR, Financial) successfully validates its video optimization technology for autonomous vehicles.
- Content-Adaptive Bitrate (CABR) technology achieves 20%-50% savings on video data in machine learning without impacting performance.
- The technology addresses significant data management challenges in autonomous vehicle development.
Beamr Imaging Ltd. (BMR) has announced successful progress in validating its video optimization technology specifically designed for the autonomous vehicles (AV) sector. The company has completed multiple Proof of Concepts (PoCs) with AV system developers, showcasing the effectiveness of its Content-Adaptive Bitrate (CABR) technology.
The CABR technology provides a significant advantage by achieving 20%-50% savings on video data used in machine learning model training, all without compromising the results. This is particularly crucial as autonomous vehicles heavily rely on video data, with a single vehicle producing terabytes of data daily, and model training requiring up to hundreds of petabytes.
Sharon Carmel, founder and CEO of Beamr, expressed optimism about the company's advancements in the AV market, highlighting the successful PoCs as an indication of the technology's potential to address the high data demands of the autonomous vehicle industry. Beamr's technology reduces the costly burden of managing, storing, and processing massive video data, offering a solution that maintains both visual quality and machine learning model stability. This development marks a significant expansion of Beamr's market outreach beyond traditional entertainment sectors into the rapidly growing autonomous vehicle industry.
