Automated Display-to-Sensor Mapping Through Image Recognition
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Solution Overview
Problem
The installation of multiple displays at checkout stations in retail stores requires manual configuration and calibration, increasing complexity and inefficiency.
Innovation Solution
A controller device automatically associates communication interfaces between displays and optical sensors using image recognition and pattern matching to determine the correct mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple displays are installed at checkout stations to improve checkout efficiency, then checkout efficiency is improved, but installation complexity increases due to manual configuration and calibration requirements
Solution Approach 1:
The system performs self-configuration through automated detection. The controller automatically detects the presence of displays and optical sensors, identifies their communication interfaces, and establishes mappings without requiring manual installer intervention. The system uses image capture and processing to automatically associate displays with their corresponding optical sensors and communication interfaces.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated electronic detection and image processing. Instead of requiring installers to physically connect and manually configure each display, the system uses automated communication protocols and image recognition to establish connections, substituting manual operations with electronic self-configuration.
2Measurement precision
If manual configuration and calibration is performed for each display, then configuration accuracy is maintained, but installation time increases
Solution Approach 1:
The system performs preliminary automated detection and mapping before any manual configuration is needed. The controller automatically identifies display devices, optical sensors, and their communication interfaces during the installation process, establishing correct mappings in advance. This preliminary automated action eliminates the need for time-consuming manual configuration while maintaining accuracy through systematic detection.
Solution Approach 2:
The system uses image capture and processing as feedback mechanisms to verify and confirm the mapping between displays and optical sensors. The controller captures images, processes them to identify displayed content, and uses this feedback to confirm correct associations, ensuring configuration accuracy while reducing installation time through automated verification.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Facilitates efficient and automated installation of display systems by eliminating the need for manual configuration, enhancing installation speed and accuracy.
Implementation Method 1
a display device operable to display an image, with the display of the image enabling illumination of a region before the display device
Data Source
AI summary
Systems and methods of display mapping methodology are performed. In one embodiment, a method is performed by a controller coupled to a set of displays and a set of optical sensors, with each display being operable to display an image, with the display of that image enabling illumination of a region before that display. Each optical sensor has a field of view that includes the region before a corresponding display and is operable to capture an image. The method includes sending, to a target display, an indication that includes image data that represents a certain image to enable illumination of the region before the target display with a representation of the certain image so that the controller is operable to associate which of the optical sensors corresponds to the target display based on the image captured by at least one of the optical sensors and the certain image.