Terminal Image Recognition for BLE Pairing
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Solution Overview
Problem
Conventional Bluetooth Low Energy (BLE) connection methods require complex and time-consuming processes for users to pair devices, involving scanning, selecting, and connecting, which can be cumbersome and inefficient, especially when dealing with multiple devices of similar appearances.
Innovation Solution
A terminal equipped with a camera and machine learning capabilities that photographs target devices to identify them using advertisement information, allowing for direct connection based on recognized shape and model information, thereby simplifying the pairing process by eliminating the need for manual scanning and selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional Bluetooth pairing methods are used, then connection can be established, but the process becomes complex and time-consuming
Solution Approach 1:
The patent applies preliminary action by pre-registering device images and their corresponding Bluetooth addresses in a server database before actual connection needs arise. When a user wants to connect, the system already has the device image and address ready, eliminating the need for real-time scanning and manual selection. This pre-prepared information allows instant matching between captured device images and stored registration data, dramatically reducing pairing time and operational complexity.
2Ease of operation
If manual device scanning and selection is performed, then connection can be established, but user convenience deteriorates when dealing with multiple similar devices
Solution Approach 1:
The patent replaces the mechanical/manual system of scanning, listing, and selecting Bluetooth devices with an automated image recognition system. Instead of manually scanning for devices and selecting from a list (mechanical interaction), the system uses the camera to capture device images and automatically identifies target devices through image matching against pre-registered data. This substitution eliminates the complex multi-step manual process and directly connects to the intended device through automated visual recognition.
Solution Approach 2:
The patent uses copying by creating and storing visual copies (images) of target devices along with their Bluetooth addresses in a server database. These image copies serve as unique identifiers that replace the need for manual device scanning and selection. When connection is needed, the system captures a live image and matches it against the stored image copies, allowing users to select devices visually rather than navigating complex scanning and listing procedures.
3Productivity
If traditional pairing procedures are followed, then connection can be established, but operational efficiency decreases
Solution Approach 1:
The patent replaces traditional mechanical pairing procedures (scanning, selecting, confirming) with an automated image recognition and matching system. The camera captures device images, the system automatically matches them against pre-registered device images in the server, and establishes connections without requiring users to navigate through multiple manual steps. This substitution dramatically improves operational efficiency while maintaining simplicity for the end user.
Data Source
AI summary
A terminal of the present disclosure includes a communicator configured to communicate using a short-range wireless protocol, a camera, and one or more processors configured to receive advertisement information from a plurality of target devices, control the camera to photograph an image of a selected target device of the plurality of target devices, and establish a connection with the selected target device via the communicator based on the photographed image of the selected target device and the received advertisement information.