Beamr Imaging’s RTMaps demonstration delivered a 47% reduction in recordings from vehicle cameras through real-time lossless compression. The result could nearly double each vehicle’s capture capacity while speeding transfers to cloud storage, giving investors a specific performance measure for Beamr’s compression technology in autonomous-driving data workflows.

Key Highlights

  • Initial Beamr testing reduced recordings from vehicle cameras by 47%.
  • Demonstrations are being held at AutoSens Europe in Barcelona and the dSPACE User Conference in Santa Clara, California.
  • Beamr and Intempora are pairing ML-Safe lossless compression with RTMaps for vehicle data workflows.

Beamr Imaging Ltd. (NASDAQ: BMR), a packaged software company, is demonstrating real-time lossless compression for RTMaps after initial testing reduced recordings from vehicle cameras by 47%. The technology is designed to reduce data at capture without data loss, while Beamr and Intempora are presenting compression Options for autonomous-vehicle and ADAS teams.

Real-Time Compression Targets Vehicle Data

Beamr and Intempora are pairing ML-Safe lossless compression with RTMaps, allowing users to select lossless or content-adaptive processing across their workflows. The lossless system operates on the GPU in the vehicle’s data logger and compresses camera output as it is captured. Smaller files can move off the vehicle faster, shortening the transfer process to cloud storage. RTMaps is described as middleware used to acquire, synchronize, process, record and replay different real-time data streams. Intempora is a dSPACE company.

The lossless mode is intended for data that must remain bit-exact, while the content-adaptive option produces smaller files when preserved model accuracy meets the workflow requirement. The demonstrations cover RTMaps users working across vehicle data capture, cloud storage, simulation and training.