Vehicle State Recording Using Environment and Behavior Triggers
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Solution Overview
Problem
Existing vehicle recording and editing technologies fail to automatically extract videos of interest to the user without the need for cumbersome equipment like electroencephalograms, and do not effectively improve traffic safety in sustainable transportation systems.
Innovation Solution
An apparatus that includes an information acquisition unit, behavior acquisition unit, and processing circuit to determine the environment and behavior of a vehicle, automatically recording and displaying states of interest based on predetermined conditions, using existing vehicle sensors and cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If brain waves are recorded to automatically extract videos of interest, then video extraction accuracy is improved, but device complexity and cost increase due to requiring electroencephalogram equipment
Solution Approach 1:
The patent uses image recognition technology to capture and analyze facial expressions, body language, and environmental context as a substitute for direct brain wave measurement. This creates a behavioral copy that reflects user interest without requiring invasive electroencephalogram equipment, thereby maintaining video extraction accuracy while significantly reducing device complexity
Solution Approach 2:
The patent replaces the mechanical/electrical system of electroencephalogram sensors with an optical system using cameras and image recognition algorithms. This substitution uses light-based image capture and computational analysis instead of electrical signal measurement, achieving the same functional goal with simpler, less invasive equipment
2Reliability
If all videos are recorded continuously to ensure no interesting moments are missed, then video completeness is improved, but energy consumption and storage requirements increase
Solution Approach 1:
The patent implements periodic sampling of video data based on detected user interest indicators. Instead of continuous recording, the system periodically analyzes facial expressions and environmental context, and only records video segments when interest is detected. This periodic action maintains video completeness for interesting moments while significantly reducing overall energy consumption and storage requirements
Solution Approach 2:
The patent extracts and processes only specific key features from video data (facial expressions, body language, environmental context) rather than analyzing all video content continuously. This selective extraction allows the system to identify interesting moments efficiently, recording only relevant segments and thereby reducing energy consumption while maintaining reliability
3Adaptability or versatility
If user-specific recording conditions are implemented to capture only interesting videos, then recording relevance is improved, but device complexity increases due to requiring multiple sensors and processing circuits
Solution Approach 1:
The patent designs the image recognition system to perform multiple functions simultaneously: detecting facial expressions, analyzing body language, recognizing environmental context, and determining user interest all through a unified processing framework. This multi-functionality allows the system to achieve high recording relevance without proportionally increasing device complexity, as one system handles multiple detection tasks
Solution Approach 2:
The patent combines multiple detection functions (facial expression recognition, body language analysis, environmental context detection) into a single integrated image recognition system. By merging these functions into one unified processing circuit rather than using separate dedicated sensors for each, the system achieves high adaptability and recording relevance while minimizing the increase in device complexity
Data Source
AI summary
An apparatus for recording and/or displaying a state of a moving object includes: an information acquisition unit that acquires information regarding a surrounding environment of the moving object; a behavior acquisition unit that acquires a behavior during movement of the moving object; and a processing circuit, in which the processing circuit determines an environment where the moving object is positioned based on the information acquired by the information acquisition unit, and record and/or display the state of the moving object when the determined environment is a predetermined environment and the behavior acquired by the behavior acquisition unit satisfies a predetermined condition.