Video data compression: Beamr’s content-adaptive bitrate technology explained
The autonomous vehicle industry faces an escalating challenge: the video data essential for ML development is creating infrastructure bottlenecks that threaten progress. The scale is staggering: as fleets expand, AV and ADAS companies are managing hundreds of petabytes of video data with cascading impacts on costs, processing speed and iteration cycles. Across the industry, there is growing understanding that it is essential to reduce costs and accelerate processes. However, any compression method must be rigorously validated before deployment at scale, or it may risk the integrity of the whole project. Consider a 150-vehicle fleet, with each vehicle producing 1TB of data daily – a conservative estimate. That’s 150TB per day, or 55PB per year. Larger companies managing hundreds of petabytes of real-world and synthetic video data already face annual costs of millions to tens of millions of dollars for their storage.