Vehicle Occupant Mobile Phone Detection via Image Comparison
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Solution Overview
Problem
Current vehicle systems lack effective methods to determine whether a vehicle occupant is using a mobile telephone, contributing to increased driver risk due to complex operating environments and increased complexities in vehicle systems.
Innovation Solution
A device and method that utilize previously classified image data from a database and current image data from vehicle interior sensors to detect whether a vehicle occupant is using a mobile telephone by comparing the two, incorporating features such as tracking the driver's face, hands, and postures to differentiate between various actions and identify the use of a mobile device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle systems are made more complex with additional entertainment and operator interfaces, then functionality and user capability are improved, but driver risk increases due to increased complexity and distraction
Solution Approach 1:
The system continuously monitors driver behavior through image sensors and provides feedback by detecting mobile telephone use. The monitoring module captures images, the classification module compares them against classified image data to identify phone usage, and the system can trigger warnings or notifications to the driver, creating a closed-loop feedback system that addresses safety concerns while preserving system functionality
Solution Approach 2:
The patent introduces an intermediary monitoring and classification system between the driver and the vehicle's complex systems. This intermediary layer (comprising image sensors, processing modules, and classification algorithms) acts as a mediator that detects phone usage without interfering with the entertainment and operator interface systems, allowing both functionality and safety to coexist
2Measurement precision
If image data analysis is used to detect mobile telephone use, then detection accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The system performs preliminary classification of image data in advance, creating a library of classified images representing various driver actions including mobile telephone use. When monitoring, the system compares current images against this pre-classified database rather than analyzing each image from scratch, significantly reducing processing time while maintaining detection accuracy
Solution Approach 2:
The patent creates copies of classified image data representing typical driver behaviors and phone usage patterns. Instead of performing complex real-time analysis, the system compares captured images against these pre-created copies/classifications, enabling rapid detection with minimal processing time while maintaining high accuracy through pattern matching
Data Source
AI summary
Apparatuses, systems and methods are provided for determining when a vehicle occupant is using a mobile telephone. More particularly, apparatuses, systems and methods are provided for determining when a vehicle occupant is using a mobile telephone based on digital image data.


