Graphene Sensor Technology LLC — Core focus of novel Internet of Things (IoT) sensor devices and data streaming for public safety, transportation, and healthcare market applications that affect use in DoD , Intelligence, Cyber security authentication.

  • Holographic Smart City Sensors based on RF Spectrum signature method for detection of explosive material in laptop computers, movable transport vehicle and aerial drones.  Spectrum signatures unique as fingerprint for each detected object to enhance selectivity of digital biometrics or scene identification.
  • Holographic Sensor Concept System capable to detect and tract low-profile and altitude targets utilizing multi-band high gain doppler radar antenna array system.  Targets detectable from size of a wire-to-tree branch aboard aerial platforms.  Strategic radar sensor mission capabilities for protection performance of object missiles, interference, anti-jamming, and anti-spoofing.  Holographic object data for each of the 360 degree locations is replaced from each compass for its sensor’s inability to point at a target object.  Holographic concept consists of multiple angularity shifted sensors for wide-area visual coverage needed to detect object for Smart City Architecture.
  • AI-Holographic Radar Sensor Concept System capability incorporates Non-Linear Convolutional Neural Network (CNN) for Automatic Detection of dynamic image multiple-objects stored on-board a memory card or data streamed to cloud data processor for display at command and control center. The system design to provide time, space, and position information on in-flight objects and ground transport objects.  The advantage of the CNN method is that it can learn more abstract and comlex features in the inut space, leading to a lower false-positive and higher true positive rates.  CNNs routinely outperform other methods in similar machine vision tasks with up to 99% accuracy.