Mobile Camera Focus Control via Communication Signal Analysis
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Solution Overview
Problem
The automatic focus (AF) adjustment function in digital cameras integrated into mobile terminals has inferior performance compared to standalone digital cameras, affecting image quality.
Innovation Solution
A method that processes photographing based on focus values and shutter speeds determined using communication signals from the subject, including identifying photographing reference information such as distance and state of motion from Received Signal Strength Indicator (RSSI) differences, to improve AF adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If communication signals are used to determine focus values and shutter speeds, then AF adjustment performance is improved, but device complexity increases
Solution Approach 1:
The patent introduces communication signals as an intermediary to convey subject information (distance, motion state) from the subject to the photographing apparatus. This mediator enables the system to obtain accurate focusing information without direct physical measurement, improving AF performance while avoiding complex hardware sensors.
Solution Approach 2:
The patent replaces traditional mechanical focusing measurement systems (such as distance sensors or phase detection autofocus mechanisms) with a communication-based information acquisition system. By substituting mechanical measurement with signal processing, the system achieves improved AF performance without proportionally increasing mechanical complexity.
2Measurement precision
If multiple communication signals are received and processed to determine motion state, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent employs multiple communication signal receptions to measure motion state, using more measurements than the theoretical minimum. By receiving multiple signals and analyzing RSSI changes over time, the system achieves higher measurement precision for motion detection, accepting increased processing time as a trade-off for accurate motion state determination.
Solution Approach 2:
The system uses feedback from multiple communication signals to continuously refine the motion state measurement. By comparing RSSI values across multiple time points and adjusting the focus value accordingly, the system achieves precise motion tracking. The feedback mechanism allows the system to process multiple signals efficiently by using each signal to refine the previous measurement.
Data Source
AI summary
A photographic apparatus that includes a processor and a memory storing one or more commands that, when executed by the processor, cause the processor to perform operations, the operations including: obtaining a communication signal from a subject; identifying photographing reference information from the communication signal; and based on the photographing reference information, controlling at least one of a focus value and a shutter speed to capture a photo that includes the subject is disclosed.