The FOUNDATION Platform COS supports plug-in Extensions to adapt and manage input from various classes of data streams. Supported data sources currently include video, images, industrial control SCADA, network information security, audio, text, and Internet of Things (IoT). Extensions pre-process specific types of incoming data in real time, using an extension module that generates mathematical data vectors of normalized values from incoming data sources. The COS will provide an SDK and associated APIs, framework, and libraries to facilitate rapid development of extensions and integration with third party applications.
The Video Analytics Engine is in-house advance detector module, tracker module, and context analytics module for constructing video meta data from video sources
9,111,148 UNSUPERVISED LEARNING OF FEATURE ANOMALIES FOR A VIDEO SURVEILLANCE SYSTEM
The SCADA Analytics Engine is in-house time series analysis, normalization, standardization, and entropy algorithm for constructing meta data from Internet of Things (IoT) sources.
9,639,521 COGNITIVE NEURO-LINGUISTIC BEHAVIOR RECOGNITION SYSTEM FOR MULTI-SENSOR DATA FUSION
The NETWORK SDK is in-house normalization, standardization, and Statistic Centric Features for building network meta data from network traffic.
9,973,523 COGNITIVE INFORMATION SECURITY USING A BEHAVIORAL RECOGNITION SYSTEM
The Image Analytics Engine is in-house advance Image Analysis module for constructing Image meta data from image sources.
10,102,642 IMAGE DRIVER THAT SAMPLES HIGH-RESOLUTION IMAGE DATA
The MLE SDK consists of APIs for building the Patented Behavior Analytics and Patented Cognitive Analytics technology.
Pending METHODS AND SYSTEMSUSING COGNITIVE ARTIFICIAL INTELLIGENCE TO IMPLEMENT ADAPTIVE LINGUISTIC MODELSTO PROCESS DATA