Beamr Addresses Autonomous Vehicle Industry's Data Storage Crisis with Compression Technology
TL;DR
Beamr's video compression technology gives AV companies a competitive edge by reducing storage and networking costs by 20-50% while maintaining model accuracy.
Beamr's CABR technology optimizes video compression frame-by-frame based on perceptual relevance, preserving critical visual cues for machine learning workflows.
Beamr's efficient video compression accelerates autonomous vehicle development, making roads safer and bringing self-driving technology to market faster.
Beamr's Emmy-winning technology compresses autonomous vehicle video data by up to 50% while preserving quality for AI training.
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The autonomous vehicle industry faces unprecedented data storage challenges as single vehicles generate terabytes of video data daily and training models require hundreds of petabytes of content, creating massive infrastructure strain. Beamr (NASDAQ: BMR) is addressing these critical challenges for the fast-growing AV and Advanced Driver Assistance Systems industry, demonstrating 20%-50% storage and networking savings over existing machine learning workflows without compromising model accuracy.
The company leverages its Emmy Award-winning Content-Adaptive Bitrate technology, backed by 53 patents and trusted by leading media and technology companies, to address the urgent need for efficient video data operations in autonomous vehicle and machine learning workflows. CABR optimizes video compression on a frame-by-frame basis based on perceptual relevance, originally developed for human visual perception but now adapted to support machine learning perception. This adaptation ensures critical visual cues such as lane markings, traffic signs, and road textures are preserved during compression.
Beamr's technology team partners with companies facing large-scale video data challenges in the autonomous vehicle sector, delivering tailored solutions that integrate seamlessly with existing machine learning workflows. The operational efficiency and acceleration enable customers to achieve performance and investment goals while maintaining the visual fidelity essential for machine learning safety. Learn more about Beamr's content-adaptive solution at https://beamr.com.
The autonomous vehicle industry includes over 80 companies with test vehicles on the road, making data economics one of the biggest roadblocks in the race to build autonomous vehicles. The data explosion puts immense strain on extensive machine learning pipelines required for training autonomous vehicles, reshaping infrastructure budgets and development timelines across the industry.
Curated from NewMediaWire
