Virtual Skycam Autonomous Control via Sensor Data Analysis
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Solution Overview
Problem
Conventional skycams require multiple anchoring points and two operators for camera and movement control, making them costly and time-consuming to set up and operate.
Innovation Solution
A virtual skycam system that uses a processor and computer-readable media to autonomously control skycams by receiving sensor data and generating sequences of actions based on machine learning algorithms, allowing for autonomous operation and virtual image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional skycam systems are used with multiple anchoring points and two operators, then reliable camera control and movement are achieved, but operation cost and setup time increase significantly
Solution Approach 1:
The skycam system performs self-control through autonomous decision-making algorithms that process sensor data and generate control commands without human intervention. The system serves itself by automatically determining camera actions and movement commands based on analyzed event data, eliminating the need for operators to manually control the camera while maintaining reliable operation.
Solution Approach 2:
The patent replaces the mechanical control system requiring two human operators with an automated computational system. The mechanical interaction between operators and control interfaces is substituted by electronic sensor data processing and automated command generation, where algorithms analyze sensor inputs and directly generate control signals for camera movement and positioning.
2Stability of the object's composition
If conventional skycam systems are deployed with multiple anchoring points, then structural support and maneuverability are ensured, but system complexity and setup time increase
Solution Approach 1:
The system creates a virtual model or digital representation of the skycam environment using sensor data, allowing virtual simulation and planning of camera movements before actual execution. This virtual copy enables complex maneuverability planning without requiring complex physical anchoring structures, as the system can pre-calculate optimal paths and positions in the virtual model.
Solution Approach 2:
The system performs preliminary analysis of sensor data to pre-determine optimal camera positions and movement paths before actual camera movement. By analyzing event data in advance and generating planned trajectories, the system prepares control commands ahead of time, reducing the need for complex real-time adjustments and simplifying the physical anchoring requirements.
3Ease of operation
If multiple operators are assigned to control skycam, then comprehensive camera and movement control is achieved, but operational cost increases
Solution Approach 1:
The automated system performs multiple functions that previously required separate operators: it simultaneously analyzes sensor data, determines camera positioning, generates movement commands, and executes control actions. This multi-functional automated system replaces the need for specialized camera operators and movement operators, consolidating their roles into a single integrated system.
Solution Approach 2:
The system autonomously performs all operational tasks without human operators by processing sensor data and generating control commands independently. The automated decision-making algorithms enable the system to self-manage camera control and movement, eliminating the need for human operators while maintaining comprehensive operational capability.
Data Source
AI summary
A system includes at least one processor and at least one non-transitory computer-readable media communicatively coupled to the at least one processor. In some embodiments, the at least one non-transitory computer-readable media stores instructions which, when executed, cause the processor to perform operations including receiving a first set of sensor data within a first time frame and receiving a set of skycam actions within the first time frame. In certain embodiments, the operations also include generating a set of reference actions corresponding to the first set of sensor data and the set of skycam actions. In some embodiments, the operations also include receiving a second set of sensor data associated with a second game status, a second game measurement, or both. The operations also include generating a sequence of skycam actions based on a comparison between the second set of sensor data and the set of reference actions.