Audience Device Position Recalibration for Coherent Live Visual Effects
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Solution Overview
Problem
Existing systems struggle to accurately track the real-time locations of audience members in large venues, leading to fragmented and incoherent visual effects across devices, and result in unnecessary resource consumption and privacy concerns due to devices being out of position or not actively participating.
Innovation Solution
A system that determines the initial position of devices using ticket data and sensors, tracks real-time positions through recalibration with image analysis, and coordinates output based on current device locations to form synchronized visual effects, while ensuring devices only contribute when actively participating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the system uses ticket stub information to identify user locations, then the initial positioning is simple to implement, but the location accuracy deteriorates when users move from their assigned seats
Solution Approach 1:
The patent introduces an intermediary calibration process using image recognition technology. The system captures images of the venue environment and uses these images as intermediaries to determine device positions more accurately. This intermediary approach allows the system to bridge the gap between simple ticket-based initial positioning and the need for accurate real-time location tracking when users move.
Solution Approach 2:
The patent replaces the mechanical/static ticket-based positioning system with a dynamic vision-based positioning system. Instead of relying solely on physical ticket information, the system uses optical fields (camera images) and computational vision to continuously track and update device positions, enabling accurate location detection even when users move throughout the venue.
2Measurement precision
If the system continuously tracks all devices, then real-time location accuracy is improved, but resource consumption and privacy concerns increase
Solution Approach 1:
The patent applies partial action by selectively activating full tracking and image capture only for devices that are currently visible and participating in the visual effect. Not all devices continuously perform resource-intensive operations; instead, the system dynamically adjusts which devices are actively tracked and imaged based on their current state and visibility, thereby reducing overall resource consumption while maintaining accuracy for active participants.
Solution Approach 2:
The system implements periodic calibration and image capture rather than continuous operation. Devices perform positioning and image capture at specific intervals or triggered events (such as when entering or leaving the visual effect area), rather than continuously. This periodic approach maintains real-time location accuracy for active devices while significantly reducing energy consumption and privacy concerns compared to uninterrupted tracking.
3Area of stationary object
If the system includes all devices in the visual effect, then the visual coverage is maximized, but the coherence and quality of the visual effect deteriorates when devices are not actively participating
Solution Approach 1:
The patent implements a dynamic inclusion/exclusion mechanism for devices in the visual effect. Rather than statically including all devices, the system continuously monitors device positions, visibility, and participation status. Devices are dynamically added to or removed from the visual effect based on real-time conditions, ensuring that only actively participating and visible devices contribute to the display. This dynamic approach maintains visual coherence by excluding inactive or misplaced devices while preserving maximum coverage when devices are properly positioned.
Data Source
AI summary
Systems and methods for coordinated output of an visual effect at a live event are described herein. A plurality of devices at a live event are identified. For each device of the plurality of devices, a current position of the device within the venue of the live event is determined. The current position of the device is determined by determining an initial location of the device and tracking, during a time period, a position of the respective device within the venue relative to the initial location using data from one or more sensors (e.g., accelerometers, gyroscopes, or any other suitable sensors). The current position of the device is recalibrated by causing the device to capture an image and analyzing the captured image. Based on the determined current positions of the plurality of devices, signals that are coordinated to form an visual effect are output on the plurality of devices.