BLE Distance Calibration via Model-Specific RSSI Correction
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Solution Overview
Problem
Existing methods for accurately determining the distance between an image forming apparatus and a mobile terminal using Bluetooth Low Energy (BLE) radio waves are hindered by variations in radio wave intensity due to differences in BLE chip positions and mobile terminal accessories, leading to inaccurate distance calculations.
Innovation Solution
A method that calculates a correction value for radio field intensity by presenting a model-specific sensitivity adjustment screen to users, allowing them to calibrate the distance based on the intensity of BLE advertising packets, which includes model information and MAC addresses, thereby correcting the radio field intensity and accurately determining the distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distance is identified by measuring radio wave intensity, then distance measurement function is provided, but measurement precision deteriorates due to variations in radio field intensity depending on mobile terminal model and accessory presence
Solution Approach 1:
The patent changes the parameter of radio field intensity measurement by introducing a correction value that adjusts the raw RSSI measurement. The correction value compensates for variations caused by different mobile terminal models and accessories, transforming the inaccurate universal measurement into an accurate model-specific measurement without requiring separate hardware for each device type.
2Measurement precision
If correction value is obtained through user input via sensitivity adjustment screen, then measurement precision improves, but ease of operation deteriorates due to additional user interaction required
Solution Approach 1:
The patent performs preliminary calibration by obtaining correction values from user input during an initial setup phase. The sensitivity adjustment screen is presented to users once to collect model-specific correction data, which is then stored and automatically applied for all subsequent distance measurements, eliminating the need for repeated user interactions.
Solution Approach 2:
The system enables users to perform self-calibration by inputting their specific mobile terminal model information. The correction value is automatically calculated and stored based on this user-provided information, allowing the system to adapt to each user's specific device without requiring manual configuration for each measurement scenario.
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
This approach reduces variations in radio wave intensity measurements, enabling precise distance calculation between the mobile terminal and image forming apparatus, improving the accuracy of services triggered by proximity, such as login and logout operations.
Implementation Method 1
the mobile terminal receives those radio waves. The wireless radio field intensity is stronger the smaller the distance is, and is weaker the greater the distance is, and therefore the distance can be identified to a certain extent by measuring the radio field intensity
Data Source
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AI summary
The present invention provides an information processing apparatus and a method of deciding a correction amount for correcting the radio field intensity of received radio waves in the information processing apparatus. The information processing apparatus receives a BLE (Bluetooth Low Energy) packet transmitted by an external apparatus, and displays a screen for deciding a correction amount for correcting the radio field intensity of the BLE packet. If a user inputs an instruction for deciding the correction amount via this screen, the correction amount is decided based on the radio field intensity of the received BLE packet and a reference value.