Facial Recognition Security System for Violent Individual Detection
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Solution Overview
Problem
Current security measures at sporting venues are reactive and inadequate in preventing fan violence and detecting potentially violent individuals, failing to proactively exclude those with violent tendencies or identities, which poses risks to attendees and increases costs for team owners and stadium operators.
Innovation Solution
A method involving a computerized database of facial images and license plates of individuals known to be violent, combined with real-time facial recognition and license plate scanning, alerts security personnel to potentially violent individuals attempting to enter or present within the venue, allowing for proactive exclusion and identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security measures (visible police presence, metal detectors, video cameras) are used, then basic security coverage is provided, but the ability to proactively detect and exclude violent individuals before they enter the venue remains insufficient
Solution Approach 1:
The system performs preliminary identification of potentially violent individuals by comparing facial images captured at entry against a database of known violent persons before they enter the venue. This preliminary action enables security personnel to proactively exclude threats rather than merely responding to incidents after they occur, directly resolving the contradiction between security effectiveness and system complexity.
Solution Approach 2:
The patent replaces manual security screening methods with automated facial recognition technology. Instead of relying solely on visible police presence and manual inspection, the system uses computer vision and image processing to automatically identify violent individuals, thereby improving security effectiveness while managing system complexity through automation.
2Loss of information
If real-time video monitoring is implemented, then violent acts can be detected after they happen, but the ability to judge whether persons have violent tendencies before violence occurs is lost
Solution Approach 1:
The system captures and stores facial images of all attendees at entry, creating a preliminary database for later comparison. When violence occurs, this pre-captured information enables rapid identification of perpetrators without losing time, as the images are already available in the system rather than requiring real-time capture during the incident.
Solution Approach 2:
The system establishes feedback loops where facial images are continuously captured, compared against the violent persons database, and results are fed back to security personnel in real-time. This feedback mechanism ensures that information about potentially violent individuals is maintained and acted upon, preventing both information loss and time loss.
3Measurement precision
If comprehensive security screening is performed on all attendees, then identification of violent persons is improved, but the process becomes too slow and cumbersome for large crowds
Solution Approach 1:
The patent replaces manual inspection processes with automated facial recognition technology that can process multiple images simultaneously. The computer-based system compares captured facial images against the database in parallel operations, maintaining high identification accuracy while dramatically increasing processing speed to handle large crowds efficiently.
Solution Approach 2:
The system uses facial image copies for comparison rather than requiring physical inspection of individuals. By working with digital image copies, the system can rapidly process and compare multiple images without the time constraints of manual screening, thereby maintaining identification accuracy while improving entry processing speed.
Data Source
AI summary
A method for reducing violence within crowded venues is provided. The method includes reading license plates of vehicles passing into entry ports of a parking area, and capturing facial images of persons seeking admission to the venue. A computer compares such license plates to a database of vehicle license plates associated with persons with past histories of violence. A computer also compares captured facial images to a database of facial data for persons with past violent histories. Upon detecting a match, the computer creates an alert presented to law enforcement officers to facilitate detention of such persons for investigation. Information recorded on entry tickets is scanned and saved together with the facial image of the ticket holder. If a violent act occurs, cameras within the venue capture facial images of participants. The computer matches such participants to stored identifying data to assist in the identification and apprehension of such persons.