Video Surveillance Using Wireless Proximity for Visitor Tracking
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Solution Overview
Problem
Existing video surveillance systems struggle to accurately detect and report visitor behavior between visits to a venue due to limited camera field of view and inaccuracies in GPS and mobile communications network positioning, lacking the ability to combine mobile device interactions with video surveillance for enhanced understanding of visitor behavior.
Innovation Solution
Integrating proximity recognition of wireless-enabled mobile devices with video systems using proximity recognition devices (PRDs) to enhance location accuracy through trilateration and triangulation, combining mobile device interactions with video surveillance to improve venue understanding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS and mobile communications network positioning are used to track visitor location, then location tracking capability is provided, but location accuracy deteriorates due to signal fluctuations and obscured sky access
Solution Approach 1:
The patent combines multiple positioning systems (GPS, mobile communications network, and WiFi) into a unified positioning framework. The server integrates location information from different sources to determine visitor positions, thereby compensating for the weaknesses of individual systems and improving both accuracy and reliability in various environments.
Solution Approach 2:
The patent introduces proximity recognition devices (PRDs) as intermediaries between mobile devices and the positioning system. PRDs detect mobile devices in proximity to video capture devices and facilitate accurate location determination by serving as local reference points, thereby improving positioning reliability in areas where GPS and network signals are weak.
2Area of stationary object
If a single video capture device is used for surveillance, then device simplicity is maintained, but field of view coverage deteriorates due to limited detection area
Solution Approach 1:
The patent merges multiple video capture devices into a coordinated surveillance system where a server integrates data from multiple sources. This combination expands the effective field of view coverage while the server manages the complexity of coordinating multiple devices, thereby achieving broad coverage without requiring each individual device to be overly complex.
Solution Approach 2:
The server performs multiple functions including receiving video data, determining visitor positions, tracking behavior, and coordinating multiple video capture devices. This multi-functionality allows the system to achieve comprehensive surveillance coverage while centralizing the complexity management in a single universal component.
3Loss of information
If video surveillance systems operate independently without mobile device integration, then system simplicity is maintained, but visitor behavior understanding deteriorates due to lack of interaction data
Solution Approach 1:
The patent merges video surveillance data with mobile device interaction data in a unified analysis framework. The server combines position information from video systems with proximity information from mobile devices to comprehensively understand visitor behavior, thereby reducing information loss while managing integration complexity through centralized processing.
Solution Approach 2:
The system implements feedback mechanisms where mobile device proximity data continuously informs and refines the video surveillance analysis. The server uses real-time proximity information from PRDs to enhance visitor behavior understanding, creating a feedback loop that improves surveillance effectiveness without requiring complete system redesign.
Data Source
AI summary
A method and system for enhancement of video systems using wireless device proximity detection. The enhanced video system consists of one or more video capture devices along with one or more sensors detecting the presence of devices with some form of wireless communications enabled. The proximity of a device communicating wirelessly is sensed and cross referenced with received video image information. Through time, movement of wirelessly communicating mobile devices through a venue or set of venues can be deduced and additionally cross referenced to and augmented over image data from the set of video capture devices.