17765390. SCREEN DETECTION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM AND READABLE MEDIUM simplified abstract (BOE Technology Group Co., Ltd.)
Contents
- 1 SCREEN DETECTION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM AND READABLE MEDIUM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SCREEN DETECTION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM AND READABLE MEDIUM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
SCREEN DETECTION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM AND READABLE MEDIUM
Organization Name
BOE Technology Group Co., Ltd.
Inventor(s)
SCREEN DETECTION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM AND READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17765390 titled 'SCREEN DETECTION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM AND READABLE MEDIUM
Simplified Explanation
The present disclosure provides a screen detection method, an apparatus and a device, a computer program and a readable medium, and belongs to the technical field of screens. The method includes: receiving a cylindrical lens detection instruction for a target screen, wherein the cylindrical lens detection instruction at least includes target viewpoints; acquiring browsing images shot from the target screen under the target viewpoints in response to the detection instruction, wherein the target screen is a screen of which the light emission side is provided with cylindrical lenses; using the browsing images as viewpoint images under the condition that the browsing images include target contents; and outputting detection parameters of the cylindrical lenses on the target screen based on image parameters of the viewpoint images.
- Screen detection method using cylindrical lens detection instruction
- Acquiring browsing images from target screen with cylindrical lenses
- Outputting detection parameters based on image parameters
Potential Applications
This technology can be applied in various industries such as:
- Security surveillance
- Augmented reality devices
- Gaming consoles
Problems Solved
- Efficient detection of cylindrical lenses on screens
- Improved accuracy in analyzing screen content
Benefits
- Enhanced screen detection capabilities
- Streamlined detection process
- Increased accuracy in parameter output
Potential Commercial Applications
Optimizing this technology for commercial use can lead to applications in:
- Display manufacturing industry
- Entertainment industry
- Security and surveillance industry
Possible Prior Art
One possible prior art could be the use of image processing techniques for screen detection, but the specific application of cylindrical lens detection on screens may be a novel approach.
Unanswered Questions
How does this technology compare to existing screen detection methods?
This article does not provide a direct comparison with existing screen detection methods, leaving the reader to wonder about the specific advantages of this technology over others in the field.
What are the limitations of this technology in real-world applications?
The article does not address any potential limitations or challenges that may arise when implementing this technology in practical scenarios, leaving room for speculation on its feasibility and effectiveness.
Original Abstract Submitted
The present disclosure provides a screen detection method, an apparatus and a device, a computer program and a readable medium, and belongs to the technical field of screens. The method includes: receiving a cylindrical lens detection instruction for a target screen, wherein the cylindrical lens detection instruction at least includes target viewpoints; acquiring browsing images shot from the target screen under the target viewpoints in response to the detection instruction, wherein the target screen is a screen of which the light emission side is provided with cylindrical lenses; using the browsing images as viewpoint images under the condition that the browsing images include target contents; and outputting detection parameters of the cylindrical lenses on the target screen based on image parameters of the viewpoint images.