INTEGRATED TRAFFIC LIGHT VIOLATION CITATION GENERATION AND COURT DATE SCHEDULING SYSTEM

Patent №

US 6,188,329

Granted

2001-02-13

Filed 1999

Owner

NESTOR, INC.

Lab

AI components

4

nlp · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09447010

A system and method for integrating traffic light violation related vehicle information with court date scheduling information, which employs one or more digitized video recordings of alleged violations. The system provides end-to-end violation processing using the digitized video recordings of the event, and using vehicle database information, as may for example be provided from a department of motor vehicles (DMV) database. The system potentially also interfaces to a court date scheduling database, which includes indications of various available times at which hearings regarding traffic violations may be scheduled. A user interface may provide a display of one or more perspectives on the violation event, as well as access to the vehicle and court date scheduling database. An evaluator, for example a police officer, uses the interface to 1) view the recorded views of the event, 2) determine whether a citationable violation has occurred, 3) extract any necessary vehicle identification information from the recording, 4) obtain owner information regarding the vehicle from the vehicle database, based on the extracted vehicle identification, 5) generate a citation with regard to the violation, and 6) schedule a hearing date with regard to the violation in response to the available court dates in the court date database.

Natural languageVisionKnowledge representationPlanningG08G 1/054G07B 15/06G08G 1/0175G08G 1/07G08G 1/08G08G 1/164Y10S 707/99932Y10S 707/99945+1 more

AI classification

Vision1.00
Planning0.99
Natural language0.86
Knowledge representation0.65
AI hardware0.00
Machine learning0.00
Evolutionary computation0.00
Speech0.00

Ownership

NESTOR, INC.

assignment · 106410249

Assignors

GLIER, MICHAEL T., LAIRD, MARK D., TINNEMEIER, MICHAEL T., SMALL, STEVEN I., SYBEL, RANDALL T., HSIEH, STEVEN S., JOHNSON, GREG D., COIMBATORE, LALITHA R.

On an employer assignment, the assignors are typically the inventors.

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