Vimoc Technologies, Inc.

Aaron James Hector

Alexandru Mihai Gurghian

Tarik Hammadou

Anthony Nikola Laskovski

The disclosed technology for building an edge convolutional neural network (CNN) system for IoT includes training on-site processors to analyze image data and identify motorized vehicles, bicycles and people in near-real-time, using a big cloud CNN, a small cloud CNN and an on-site CNN. At least five hundred site-specific images from cameras are analyzed using the big cloud CNN to produce a machine-generated training set that includes an image that has regions, and for each region, coordinates of bounding boxes for objects in the region, and classification of contents of the bounding boxes as a motorized vehicle, bicycle or person; and the training set. The machine-generated training set gets used to train the small cloud CNN; and coefficients from the trained small cloud CNN get transferred to the on-site CNN, thereby configuring the on-site CNN to recognize motorized vehicles, bicycles and people in images from the cameras in near-real-time.

System and method for building an edge CNN system for the internet of things

The disclosed systems and methods include configuring a model to process incoming sensor data from a multitude of sensors in a custom sensor network&#x2014;accessing domain-specific, vendor-specific, and technology-specific sub-models and selecting and combining features of the sub-models in an object that accepts incoming data from the sensors. Also included are classifying and selecting a domain-specific sub-model based on the classification; determining a vendor and selecting a vendor-specific sub-model for the sensors; classifying a sensor technology and selecting a technology-specific sub-model based on the classification of the sensor; automatically configuring alerts and basic data handling by a sensor controller; automatically configuring storage objects used by the sensor controller to persist the data from the sensors as it is received and parsed; and testing the alerts, basic data handling and storage object persistence with the sensors or simulated sensors to confirm operable configuration of the sensor controller.

Growing community of inventors

Santa Clara, CA, United States of America

Aaron James Hector