Vehicular Threat Detection via Image Analysis
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Solution Overview
Problem
Human abilities such as hearing, vision, and memory decline with age, and are further compromised by increasing information overload, leading to safety risks in transportation due to distracted or impaired drivers, for which current solutions like hearing aids and legal prohibitions are inadequate.
Innovation Solution
An Ability Enhancement Facilitator System (AEFS) that uses computer- and network-based methods to analyze image and audio data from various sources to detect vehicular threats, providing users with wearable devices the necessary information to take evasive actions through visual, auditory, or haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image and audio data analysis is implemented to detect vehicular threats, then safety and threat detection capability are improved, but device complexity and computational requirements increase
Solution Approach 1:
The system segments the complex threat detection task into distinct modules: image data processing, audio data processing, and integrated analysis. Each module handles specific sensory inputs independently before combining results, reducing overall system complexity while maintaining comprehensive safety monitoring
Solution Approach 2:
The patent introduces wearable devices as intermediaries that receive processed threat information from the analysis system and deliver it to users through simplified interfaces. This intermediary layer shields users from system complexity while ensuring reliable safety information delivery
2Measurement precision
If multiple data sources are integrated for comprehensive threat detection, then measurement precision and detection accuracy are improved, but information processing time and computational load increase
Solution Approach 1:
The system performs preliminary processing of image and audio data separately before integration, pre-identifying potential threats in each modality. This preliminary action reduces the complexity of subsequent integrated analysis and enables faster real-time detection
Solution Approach 2:
The patent implements selective processing where not all image and audio data are analyzed with equal depth. Instead, the system applies different levels of analysis based on initial screening, processing only the most critical or ambiguous data in greater detail to balance accuracy with processing speed
Data Source
AI summary
Techniques for ability enhancement are described. Some embodiments provide an ability enhancement facilitator system (“AEFS”) configured to enhance a user's ability to operate or function in a transportation-related context as a pedestrian or a vehicle operator. In one embodiment, the AEFS is configured perform vehicular threat detection based at least in part on analyzing image data. An example AEFS receives data that represents an image of a vehicle. The AEFS analyzes the received data to determine vehicular threat information, such as that the vehicle may collide with the user. The AEFS then informs the user of the determined vehicular threat information, such as by transmitting a warning to a wearable device configured to present the warning to the user.