Vehicle Context Assistant for Driver Authentication and Fault Alerts
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Solution Overview
Problem
Current vehicle diagnostic systems primarily serve technicians and lack functionality for vehicle owners, failing to provide new features or data collection and analysis capabilities beyond standard diagnostic functions.
Innovation Solution
A system that integrates with the vehicle engine bus to collect and analyze data from sensors, including image and acoustic data, to identify authorized drivers, detect vehicle faults, and provide recommendations through a user interface, using a processor and memory to execute instructions for facial recognition, gesture analysis, and contextual information processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If diagnostic busses are made according to standard protocols, then compatibility and ease of connection are improved, but functionality remains limited to technician-only diagnostic purposes
Solution Approach 1:
The system enables the standard OBD-II diagnostic bus to serve multiple functions: traditional diagnostic capabilities for technicians plus new capabilities for vehicle owners including facial recognition, gesture control, fault detection, and personalized recommendations. The processor executes diverse instructions ranging from facial data analysis to vehicle system monitoring, transforming a single-function diagnostic interface into a multi-functional intelligent assistant.
2Adaptability or versatility
If new equipment is introduced to provide additional functions to vehicle owners, then functionality is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple functional components into a single integrated system connected to the existing OBD-II bus. The processor combines facial recognition algorithms, gesture analysis, vehicle diagnostic capabilities, and communication functions into one unified device. This consolidation provides extensive functionality while avoiding the complexity of multiple separate systems, as all operations share common hardware resources including the optical sensor, processor, and communication interface.
3Reliability
If facial recognition and gesture analysis are implemented, then security and user experience are improved, but processing requirements and energy consumption increase
Solution Approach 1:
The system performs facial recognition and authentication before granting vehicle access or operational permissions. By conducting security verification in advance through facial data analysis, the system ensures reliable authentication while enabling subsequent energy-efficient operations. The processor only activates full diagnostic and monitoring functions after successful authentication, reducing overall energy consumption compared to continuous high-power processing.
Data Source
AI summary
The present disclosure is directed to methods and apparatus that may collect data from at a vehicle. Data may be collected by connecting to a port of an on board diagnostic bus at the vehicle or this data may be received via a wireless communication interface. Collected data may be stored at a database and this data may be analyzed to identify whether a person at a vehicle is authorized to access or drive the vehicle. This collected data may also be analyzed to identify faults that may occur at a vehicle and recommendations to responding those faults may be provided to a driver of the vehicle via a user interface such as a speaker or display at the vehicle.