A new solution compresses and offloads critical data from battlefield machines more efficiently, enabling faster AI processing and decision-making on the battlefield. U.S. Army DEVCOM Army Research Laboratory Public Affairs explains.
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| Using the original_frame.png, the encoder/decoder from the Deep Compressive Offloading approach was used to process the image and reconstruct it to produce a compressed version of the image. Notice that some information is not captured in the compressed image, e.g., the orange cone in the original frame does not appear to have the orange color in the compressed frame. The point though is that the information needed to maintain detection performance is preserved and other information is thrown out to reduce the image size. The compressed/reconstructed image is 48.5kB compared to the 2.5MB for the original, which is only 2% of the original size. (Picture source: U.S. Army). |
