IoT Graphene Sensor Concepts


  • Novel Internet of Things (IoT) sensor aggregation

  • IoT applications for public safety, transportation, and healthcare markets that affect the use in DoD and Intelligence

  • Cyber security and authentication of IoT devices and data streams

  • Development of New Explosives Detection Method based on RF Spectrum Signature

  • Computer vision technology based on low power portable device (cell phone) to penetrate through clothes and wall signals versus large expensive optical lenses; and recognizing humans, explosives, and chemicals

  • Spectrum signatures unique as fingerprint for each detected object to enhance selectivity of digital biometrics or scene identification.


  • Hologram objects processed using AI – Deep learning algorithms (CNN, backprop…) for classification

Hologramic object data for each of the 360 degree locations is replaced from each compass point to compensate for its sensor’s inability-to-point at a target objects. Holographic/Fly-Eye concept consists of multiple angularly shifted sensors for wide-area visual coverage needed to detect and avoid threats.  Each antenna array is coupled to a detector / memory with space shifted multiple directional antennas to provided simultaneous high-accuracy amplitude and phase measurements for multiple angular points with minimal distance between antennas.



Edge Digital Sensor Data represents direction, depth and  signature of objects that transfers frequency, amplitude and time in nanoseconds to AI Big Data Cloud Cluster Network.