Holographic Display System Dynamic Viewing Angle Segmentation
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Solution Overview
Problem
Holographic display systems are limited by their bulkiness, high cost, and restricted to small, static 3D visual experiences with narrow viewing angles, making them unsuitable for large-scale or dynamic holographic presentations.
Innovation Solution
The system dynamically adjusts its viewing angle based on user direction and proximity, using multiple display component subsets to create a combined larger viewing angle and personalize content for multiple users, while a machine learning model selects items for presentation based on user interest and account compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If holographic display systems use traditional bulky hardware configurations, then they can provide high-quality 3D visual experiences, but they become cost prohibitive and limited to static images with narrow viewing angles
Solution Approach 1:
The system divides the holographic display into multiple independent display component subsets, each capable of presenting holographic content with a specific viewing angle. This segmentation allows the system to achieve a combined wider viewing angle while using smaller, less complex individual components, thereby reducing overall system bulkiness while maintaining high-quality 3D visual experiences
Solution Approach 2:
The system dynamically selects and configures display component subsets based on real-time user direction and proximity detection. This dynamic configuration allows the system to adaptively optimize the viewing angle and content presentation for each user without requiring a permanently bulky hardware setup, thus resolving the contradiction between reliability and device complexity
2Volume of moving object
If holographic displays present content with a fixed narrow viewing angle, then the system remains compact, but users outside the viewing angle cannot see the holographic presentation
Solution Approach 1:
The display system is divided into multiple display component subsets, where each subset is responsible for a specific viewing angle sector. This segmentation enables the compact system to collectively cover a wide viewing angle by activating only the necessary subsets for each user's position
Solution Approach 2:
The system adds the dimension of dynamic selection by using sensors to detect user direction and proximity, then selecting appropriate display component subsets accordingly. This transforms the system from a static single-viewing-angle display to a multi-dimensional adaptive display that maintains compactness while achieving wide viewing angle coverage
3Quantity of substance
If museums physically expand to display more artwork, then they can accommodate more items, but construction and maintenance costs increase
Solution Approach 1:
The system creates holographic copies of physical items (artwork, statues, etc.) that can be displayed in limited physical spaces. These virtual copies can be dynamically configured and repositioned without physical relocation, allowing museums to showcase more items in the same space without expansion costs
Solution Approach 2:
The holographic display system serves multiple functions: it can display different items to different users simultaneously, adapt content based on user interest and account features, and replace the need for physical expansion. This multi-functionality allows a single compact display system to achieve what would otherwise require multiple physical locations
Data Source
AI summary
In some embodiments, holographically displaying items based on item compatibility with user account features may be facilitated. In some embodiments, first and second mobile devices may be detected as being within a proximity threshold of a holographic display device, where the first mobile device is associated with a first user account and the second mobile device is associated with a second user account. Based on the detection, (i) navigation information of the first and second mobile devices, (ii) return value information indicating respective return values associated with candidate items, and (iii) account feature compatibility information may be obtained and inputted into a machine learning model. Despite a first candidate item being incompatible with a second account feature set for the second mobile device, a first holographic representation of the first candidate item may be displayed.