Tkh Security LLC

Park Assist Llc.

Aurelien Ramondou

Mark Kudas

Steven Hartman

Daniel L Cohen

Aaron Isaksen

Andrew Crawford

Richard Joffe

Ilan Goodman

Konstantyn Prokopenko

Ezequiel Cura

Ian Yamey

Bob Caspe

Michael Klevansky

Anders Nelson

Geoffrey Gaetan Naudet

Pablo Rozanski

Morgan Kesler

Chien Hsiang Tang

Garett Neff

Joseph Ruggero

Scott Dubois

Daniel Cohen

The present disclosure relates to identifying vehicles using wireless device identifiers. In accordance with aspects of the present disclosure, a system for identifying vehicles in a parking structure includes a camera configured to capture images of an area in the parking structure where the camera captures an image containing one or more vehicle(s), a detector configured to scan for wireless device identifiers in the area, and a processing system including an electronic storage. The processing system is configured to execute instructions to access the image containing the vehicle(s) in the area and access one or more wireless device identifier(s) scanned by the detector in the area, process the image containing the vehicle(s) to extract one or more license plate identifier(s) corresponding to the vehicle(s), and store in the electronic storage at least one record associating the license plate identifier(s) with the wireless device identifier(s).

Systems and methods for identifying vehicles using wireless device identifiers

To manage a plurality of parking spaces, one or more images are acquired, with each parking space appearing in at least one image. Periodically acquired images of occupancy and identity are used in directing a customer to a parked vehicle. Periodically acquired mages of just occupancy are used in controlling respective environmental aspects, such as illumination and ventilation, of the parking spaces. For these purposes, the images are classified automatically as 'vacant' or “occupied”, and are displayed along with their classifications so that the classifications can be corrected manually.

Method and system for managing a parking lot based on intelligent imaging

To manage a plurality of parking spaces, one or more images are acquired, with each parking space appearing in at least one image. Periodically acquired images of occupancy and identity are used in directing a customer to a parked vehicle. Periodically acquired images of just occupancy are used in controlling respective environmental aspects, such as illumination and ventilation, of the parking spaces. For these purposes, the images are classified automatically as 'vacant' or 'occupied', and are displayed along with their classifications so that the classifications can be corrected manually.

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New York, NY, United States of America

Aurelien Ramondou