AR Sensor Installation Visualization for Smart Home Networks
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Solution Overview
Problem
Conventional augmented reality systems fail to accurately simulate the installation of sensors on walls and do not effectively convey the relationship between the installation position and sensing coverage, making it difficult for users to choose the correct installation location and height for motion sensors like IR, mmWave, or LiDAR devices in smart home networks.
Innovation Solution
An augmented reality system that includes an image capture device, image processing unit, user interface, and rendering device, which captures images, determines space configuration, receives fiducial point input, and superimposes computer-generated images of sensors at specified heights and sensing coverage areas, allowing users to visualize the installation process and relevance of sensor positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional AR system is used to simulate sensor installation, then the installation process can be visualized, but the accuracy of simulation and the ability to perceive relevance between install position and sensing coverage is insufficient
Solution Approach 1:
The patent creates a virtual copy of the sensor and its sensing coverage area, superimposing the 3D sensor model and colored region onto the captured wall image. This virtual copy allows accurate simulation of installation position and sensing coverage without requiring physical installation, thereby improving measurement precision while managing system complexity through software-based visualization.
Solution Approach 2:
The patent transitions from 2D wall surface to 3D spatial representation by superimposing a 3D sensor model and extending its sensing coverage visually in three-dimensional space. This dimensional enhancement enables users to perceive the relationship between installation position and sensing coverage more accurately, resolving the contradiction between simulation accuracy and system complexity.
2Measurement precision
If repeated efforts are used to measure proper height and location with traditional tools, then accurate installation location can be obtained, but the time required for installation increases
Solution Approach 1:
The patent enables preliminary visualization of the sensor installation and sensing coverage before actual installation. Users can input desired installation position and height, and the system pre-calculates and displays the corresponding 3D sensor model and sensing coverage area on the wall surface, eliminating the need for repeated physical measurements and reducing installation time while maintaining accuracy.
Solution Approach 2:
The patent replaces traditional mechanical measurement tools (rulers, laser pointers) with an augmented reality system that uses image capture, processing, and rendering to determine installation location and visualize sensing coverage. This substitution significantly reduces the time and effort required for measurement while maintaining or improving accuracy through computational methods.
3Adaptability or versatility
If different manufacturers and models of sensors with different parameters are available, then more sensor options are provided, but it becomes time-consuming to select the proper sensor
Solution Approach 1:
The patent creates a universal AR visualization interface that can accommodate multiple sensor types and manufacturers by accepting various sensor parameters (infrared, millimeter wave, LiDAR) and displaying their respective 3D models and sensing coverage areas. This multi-functional visualization system allows users to compare different sensor options visually without time-consuming manual measurements, thereby reducing selection time while maintaining versatility.
Data Source
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AI summary
An augmented-reality system includes an image capture device that obtains a captured image, an image processing unit that receives and processes the captured image to determine space configuration of a scene; a user interface that receives a position of a fiducial point inputted by a user; and a rendering device that superimposes a fiducial mark at the position of the fiducial point on the captured image. The rendering device superimposes a first computer-generated image representing a sensor at an install height above the fiducial point and on a wall of the captured image.