Ikena WAMI’s super resolution capability is a powerful tool to increase resolution and reduce noise coming from the sensor, compression, or adverse conditions like smoke or haze. Ikena WAMI’s motion estimation and occlusion handling are designed to be accurate, and resilient enough to handle the large displacements that result from the low frame-rates of WAMI.
You can’t always collect on a haze or smoke-free day. Haze and high clouds can obscure important details like the presence or number of people on this airfield, details that can drive important decisions. Our de-hazing algorithm is critical in extracting information from your collects, as sometimes you can’t revisit a location.
Ikena WAMI can even correct unbalanced contrast from less advanced video processing software. Our algorithms can automatically detect unbalanced contrast and correct the contrast issues for each individual quadrant of the image. All with one click.
With Ikena WAMI, analysts can manipulate the color of images to help them spot critical details and patterns in images.
MotionDSP’s patented feature detectors and machine learning provide a more powerful solution than industry-standard feature detectors, and deliver high detection rates, and low false positives. WAMI collects are massive in size – the ultimate “big data” challenge. MotionDSP’s GPU-accelerated detection, tracking, and machine learning algorithms are designed for real-time performance on 8K imagery, all on a single GPU card.