MiMoCloud

MiMoCloud has developed cutting edge data compression tools to support data collection from a variety of remotely located sensors including, optical cameras, infrared cameras, hyperspectral imagers, sonar hydrophones, microphones, and “anonymous” digital sensors. We achieve compression at levels that are far higher than the typical, as listed below. Our linear data compression approach allows user defined management of compression error typically ranging from 1 in 10^-4 up to 1 in 10^-11.

Data Types Sample Compression Results
Camera Images 60:1
Hyperspectral and Infrared Images 2.5:1 to 66:1
Audio (Sonar) 5:1 to >>10:1
Airborne Telemetry 12 Sensors 59:1
“Black Box” Telemetry 7000 “anonymous” Sensors >>300:1

** Compare with typical lossless compression ratios of 2:1 – 4:1

Non-Linear approach that we are currently developing yields a minimum of 10x improvement over our linear approach.

By increasing the compression ratios achievable, MiMoCloud will help assure delivery of data where it was not possible before, and/or help increase the throughput from field deployed sensors to commanders.