Venue Camera Control Through Spatial-to-Motor Mapping
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Solution Overview
Problem
Existing systems fail to efficiently automate the control of cameras in venues to capture media of specific target locations, such as seats or lanes, for attendees who desire images or video clips as mementos of their time at the venue.
Innovation Solution
A system and method for automated camera control in venues, involving a server processor that receives media capture requests, assigns cameras based on venue maps, controls camera aiming and capture, and transmits media streams, with features like dynamic frame adjustment and camera selection to minimize latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated camera control is implemented without venue mapping, then camera assignment to target locations is manual and inefficient, but system complexity increases due to lack of automation
Solution Approach 1:
The system performs preliminary mapping of venue spatial regions to camera motor coordinates before actual media capture requests. This pre-established mapping database enables automated camera assignment without real-time complex calculations, resolving the contradiction by preparing the system in advance to handle requests efficiently.
Solution Approach 2:
The patent introduces an intermediary venue map database that mediates between camera control requests and physical camera positioning. This intermediary layer translates abstract target locations into concrete camera motor coordinates, automating the assignment process while maintaining manageable system complexity through structured data organization.
2Reliability
If multiple cameras are deployed to cover different venue areas, then camera availability for specific targets improves, but camera selection and assignment complexity increases
Solution Approach 1:
The venue is segmented into multiple spatial regions, each associated with specific camera coverage areas. This segmentation allows the system to quickly identify which cameras can service a given target location by matching the target's spatial region with pre-defined camera coverage zones, improving availability while simplifying selection through regional matching.
Solution Approach 2:
Different spatial regions are assigned to different cameras based on their optimal coverage areas. Each camera is specialized for particular venue zones, ensuring that the most appropriate camera is selected for each target location. This local specialization improves reliability by ensuring camera availability while reducing selection complexity through zone-based assignment rules.
3Ease of operation
If real-time media streaming is provided to users, then user experience improves, but system latency increases due to processing and transmission requirements
Solution Approach 1:
The system establishes continuous media streams from cameras to users, maintaining uninterrupted data flow rather than periodic updates. This continuous transmission provides real-time user experience while optimizing buffer management and transmission protocols to minimize latency, keeping the useful action of media delivery continuous and efficient.
Solution Approach 2:
The media streaming system dynamically adjusts transmission parameters such as frame rate and quality based on current system conditions and user requirements. This dynamic adaptation allows the system to maintain acceptable user experience while managing latency by adjusting the stream characteristics in real-time based on processing capacity and network conditions.
Data Source
AI summary
Various embodiments for a method and system for automated control of cameras in a venue setting are described. Generally, the method comprises: receiving a media capture request, wherein the media capture request comprises a request to capture a media of a target location in the venue; assigning a camera located in the venue to capture the media; accessing a camera-specific venue map associated with the assigned camera, wherein the camera-specific map comprises a mapping of one or more spatial regions in the venue to a corresponding one or more camera motor coordinates; identifying a spatial region, of the one or more spatial regions, that includes the target location; controlling the camera to aim at the target location based on the one or more camera motor coordinates associated with the spatial region; and controlling the camera to capture the media of the target location.