Autonomous Golf Video Capture via AI Cameras and QR Distribution
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Solution Overview
Problem
Current digital media production in sports and video recording is labor-intensive and expensive, requiring human resources for capturing and processing video footage, and lacks an automated means to process and communicate video efficiently.
Innovation Solution
An autonomous digital media processing system using AI-enabled cameras and network media processing services that record and process video of golfers at golf courses, enabling automatic video capture, processing, and distribution through a QR code link, allowing for efficient production and communication of video content without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If human resources are used to capture and process video footage, then video quality and direction are improved, but labor intensity and cost increase
Solution Approach 1:
The system enables autonomous video capture and processing where the digital media system automatically detects golfers, captures footage, processes video, and distributes content without human intervention. The AI-enabled cameras and automated processing services work self-service to produce professional-quality video content.
Solution Approach 2:
The patent replaces manual mechanical operations (cameramen physically moving cameras, directors making cut decisions) with automated digital systems including AI-enabled cameras that automatically track and capture footage, and algorithms that autonomously make editing and distribution decisions.
2Productivity
If manual recording and video processing is used, then video content is produced, but time consumption and production duration increase
Solution Approach 1:
The system maintains continuous operation where AI-enabled cameras continuously capture footage, processing services continuously analyze and edit video, and distribution systems continuously deliver content. This eliminates idle time between shooting, editing, and distribution phases that characterize traditional production workflows.
Solution Approach 2:
The system performs preliminary actions by pre-positioning AI-enabled cameras to automatically detect and track golfers before footage is needed, and by using automated processing services that begin analysis and editing immediately upon capture, eliminating delays between events and final product delivery.
3Productivity
If automated processing services are used, then productivity and speed are improved, but system complexity increases
Solution Approach 1:
The digital media system performs multiple functions through integrated components: AI-enabled cameras simultaneously detect golfers, capture video, and track movement; processing services simultaneously edit footage, generate highlights, and prepare for distribution. This multi-functionality reduces the number of separate systems needed despite increased operational complexity.
Data Source
AI summary
A system for autonomously providing digital media is provided. The system includes a video link QR code and a remote media system (RMS) located at a golf course having at least one golf hole. The RMS includes a first AI enabled camera configured to record a video of at least one golfer detected at the at least one golf hole. In addition, the system includes a network media processor and services (NMS) communicatively coupled to the RMS and located remote to the RMS and configured to process the video of the at least one golfer. The system additionally includes a digital media enabled destination configured to receive the video from the NMS in response to a user scanning the video link QR code.