Que-A Information

Que-A, L.L.C. was established in 2014 by Michelle Aultman, when she discovered an enormous gap in the market when searching for an answer on how to integrate automatic object recognition of images within a live streams of full-motion video (FMV) with the ability to automatically tag the image(s). Her customers in the Intelligence Community (IC), who she still enjoys getting support to this day, had a valid requirement around the handling and processing of FMV and she could not find the solution that fit the requirements. So, she started her second company, Que-A. L.LC, and immediatly began the development. The Que-A team consist of the most talented and skilled professionals in the world. The development team brings advanced expertise in R, Python, MatLab, Octave, Open CV, BoofCV, OpenTld, Aforge, PySpark, Hive, Excel, SQL, SSIS, SPSS, Minitab, Azure Machine Learning, Azure Data Factory, Hadoop Data Lake, SAS 9.2 , 9.3 (Windows & Unix), SAS BI , Data Integration Studio 4.2, Web Report Studio, OLAP Studio, Information MAP Studio and Enterprise Mine, Convolutional Neural Networking (cNN), and more. We have built a never before seen algorithm that can consistently detect and classify objects with a high level of accuracy (97.5%) and computational efficiency meaning objects can be tracked, detected (“seen”), and classified (“comprehended”) from video feeds supplied by UAVs in real-time.