Rounded Object Detection in Augmented Reality Systems
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Solution Overview
Problem
Current computing devices lack the ability to effectively detect and track rounded objects in images for real-time processing and control applications, limiting their functionality in tasks that require visual input and motion tracking.
Innovation Solution
A computing device system that processes images from an image capturing device to detect rounded objects using techniques such as image filters and detection algorithms, allowing for the tracking of movement, velocity, and acceleration, and utilizing this information for controlling remote devices or integrating objects into augmented reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image filtering and detection algorithms are applied to detect rounded objects, then detection precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-defining object templates and detection parameters before actual detection begins. The rounded object detector is pre-configured with shape characteristics and size ranges, allowing faster processing during real-time operation without sacrificing detection precision.
Solution Approach 2:
The system applies partial action by focusing detection resources only on regions of interest within the image where rounded objects are likely to appear. Rather than processing the entire image uniformly, the detector concentrates computational effort on specific areas, reducing overall processing time while maintaining detection accuracy.
2Adaptability or versatility
If multiple computing devices are integrated for augmented reality processing, then functional versatility is improved, but system complexity increases
Solution Approach 1:
The computing devices are designed with universal interfaces and standardized communication protocols that enable them to perform multiple functions across different augmented reality applications. The same device architecture supports object detection, tracking, and rendering tasks, reducing the need for specialized hardware while maintaining functional versatility.
Solution Approach 2:
The system introduces intermediary software layers and communication interfaces that mediate between multiple computing devices. These intermediaries handle device coordination, data exchange, and synchronization, simplifying the overall system architecture by abstracting the complexity of multi-device integration from individual device components.
Data Source
AI summary
A method is disclosed for operating a mobile computing device. The method may include a communication link between the mobile computing device and a second computing device. The second computing device may provide a virtual environment for the mobile computing device. Furthermore, the mobile computing device may allow a user to control a self-propelled device, which may be rendered as a virtual entity upon the virtual environment.