Imaging Sensor Communication Channel Setup for Mobile Terminals
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Solution Overview
Problem
Conventional methods for establishing communication channels require manual input and are prone to errors, especially in time-critical and safety-relevant applications, and do not fully utilize modern sensor and AI technology for automation and optimization.
Innovation Solution
A fully automated method using imaging sensors, geolocation-based data, and machine learning to detect and select potential communication partners based on predefined behavior patterns, enabling the establishment of communication channels without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual input methods are used for establishing communication channels, then user control is maintained, but the process is time-consuming and error-prone
Solution Approach 1:
The system performs self-service by automatically detecting communication partners, identifying behavior patterns, and establishing communication channels without manual user input. The imaging sensors continuously monitor the environment, the processor automatically compares observed patterns against stored patterns, and the system autonomously initiates communication when matches are found, eliminating both time consumption and human error.
Solution Approach 2:
The system applies preliminary action by pre-storing multiple behavior patterns in the database before actual communication needs arise. These patterns represent various states and actions of potential communication partners. When imaging sensors capture current behavior, the system immediately compares against the pre-stored patterns to quickly identify and establish communication channels, reducing setup time while maintaining reliability.
2Speed
If automated systems using imaging sensors are deployed, then real-time detection capability is improved, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential and relevant features from the complex imaging data for pattern recognition. Instead of processing entire images or all sensor data, the processor identifies and extracts key behavioral patterns and characteristics that are sufficient for communication partner identification. This extraction approach enables real-time detection speed while reducing the overall processing complexity by focusing only on critical data elements.
3Measurement precision
If behavior pattern recognition is implemented, then automated partner selection accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary action by pre-storing multiple behavior patterns in the database before actual communication needs arise. These patterns represent various states and actions of potential communication partners. When imaging sensors capture current behavior, the system immediately compares against the pre-stored patterns to quickly identify and establish communication channels, reducing setup time while maintaining reliability.
Solution Approach 2:
The system uses copying by creating digital representations (copies) of behavior patterns from stored data and comparing these copies against real-time sensor observations. Instead of analyzing raw sensor data directly, the system compares simplified pattern copies against pre-stored behavior pattern copies, achieving high identification accuracy while managing system complexity through abstraction and representation.
Data Source
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AI summary
The invention relates to a fully automated system and method for configuring mobile terminals, which utilizes advanced imaging sensors, geolocation-based data, machine learning, and, according to one aspect of the present invention, artificial intelligence to enable efficient and precise establishment of communication channels. This includes the automatic detection and selection of potential communication partners based on presets and environmental parameters. The invention falls within the field of mobile communication technology, specifically the development of automated systems for facilitating communication processes using integrated sensors and AI technologies. Furthermore, a computer program product with control commands is proposed, which implement the proposed method or operate the proposed device and arrangement.