Vehicle Security Mode Activation via Driver Recognition
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Solution Overview
Problem
Existing vehicle systems fail to appropriately adjust their configuration in response to security risks, such as a stranger approaching the driver in unsafe environments, leading to potential safety hazards and unauthorized access.
Innovation Solution
A driver recognition system that uses artificial intelligence and machine learning to monitor the environment, identify authorized users, and adjust vehicle operations based on risk assessments, including delayed unlocking or starting of the vehicle, selective door operation, and alerting the owner, to enhance security in potentially dangerous situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle unlocks doors and allows starting when the driver approaches, then ease of operation is improved, but security vulnerability increases in unsafe environments
Solution Approach 1:
The vehicle access system dynamically adjusts its security level based on real-time environmental assessment. When a security risk is detected (stranger following the driver), the system automatically changes from a convenient access mode to a secure access mode, delaying door unlocking and preventing vehicle starting. This dynamic adaptation resolves the contradiction by making the system flexible rather than fixed.
Solution Approach 2:
The system continuously monitors the environment around the vehicle and provides feedback to the access control system. Sensors detect the presence of strangers and feed this information back to the controller, which then adjusts the access behavior accordingly. This feedback loop enables the system to respond to changing security conditions in real-time.
2Object-affected harmful factors
If the vehicle implements security monitoring and delayed access, then security is improved, but device complexity increases
Solution Approach 1:
The vehicle's existing sensor systems and control units are made multi-functional. The same sensors used for normal driver detection and environment monitoring are also used for security risk assessment. The existing door control and engine starting systems are enhanced with security logic rather than completely replaced. This approach achieves improved security without proportionally increasing system complexity.
Solution Approach 2:
The system uses the vehicle's own existing infrastructure (sensors, processors, control systems) to perform security monitoring and assessment. Rather than adding entirely new external security systems, the vehicle leverages its built-in capabilities to detect strangers and respond to security threats, reducing the need for additional complex components.
3Object-affected harmful factors
If the vehicle delays door unlocking and starting, then security is improved, but loss of time occurs
Solution Approach 1:
The system applies preliminary anti-action by proactively delaying door unlocking and vehicle starting when a security risk is detected. Instead of reacting to attempted unauthorized access, the system preemptively prevents potential security breaches by holding the access functions until the driver enters the vehicle. This preliminary action blocks the harmful effect before it can occur.
Solution Approach 2:
The system performs preliminary security assessment and preparation before allowing vehicle access. When a stranger is detected, the system prepares a secure access mode in advance, which includes delaying door unlocking and preventing engine starting. This preliminary action ensures that security measures are already in place before the driver needs to access the vehicle.
Data Source
AI summary
A controller of a vehicle detects persons that are approaching the vehicle and uses sensors to collect data regarding the persons to determine whether a security risk exists. In one approach, the collected data is used to determine whether each person is associated with the vehicle. In response to determining that at least one of the persons is unknown, a security risk is evaluated based on data from monitoring of the environment of the vehicle. In response to determining that a security risk score exceeds a threshold, one or more actions for the vehicle are performed to make the vehicle more secure.