Gatekeeper Inc.

Gatekeeper Security, Inc.

Christopher A Millar

Jonathan Nazemi

Robert Rozploch

A method for facial analytics includes capturing a series of images of individuals from a camera into a circular buffer and selecting a plurality of images from the buffer for analysis in response to a trigger event, wherein the plurality of images are chronologically proximate before and/or after the trigger event in time. The method includes analyzing the plurality of images to determine image quality and selecting one of the plurality of images based on image quality to form a cropped facial image most likely to result in positive facial recognition matching. Methods of signaling to control the pedestrian traffic flow can maximize the individuals' facial alignment to the capturing camera's field of view. Non-relevant facial images associated with individuals outside a given region of interest can be discarded. Facial recognition is run on the resultant cropped facial image. Output can be displayed with information from the facial recognition.

Facial detection and recognition for pedestrian traffic

The present invention provides an entry control device, system and method which can recognize a vehicle by its undercarriage image only. The present invention compares a new vehicle undercarriage image with those stored in a reference database to facilitate the automatic search of a vehicle's undercarriage. The present invention can compare the new undercarriage image to the same or similar undercarriage image previously entered in the reference database, highlighting any anomalies such as, for example, foreign objects, explosives, drugs, paraphernalia and other illegal and/or harmful substances and devices.

Entry control point device, system and method

The present invention provides a device, system and method which can recognize a vehicle by its undercarriage image only. The present invention compares a new vehicle undercarriage image with those stored in a reference database to facilitate the automatic search of a vehicle's undercarriage. The present invention can compare the new undercarriage image to the same or similar undercarriage image previously entered in the reference database, highlighting any anomalies such as, for example, foreign objects, explosives, drugs, paraphernalia and other illegal and/or harmful substances and devices.

Growing community of inventors

Reston, VA, United States of America

Christopher A Millar