Cloud-Controlled In-Vehicle Incident Capture for Rideshare Security
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Solution Overview
Problem
Traditional ridesharing platforms face safety and security risks for both passengers and drivers due to the lack of effective incident monitoring and reporting systems.
Innovation Solution
A computing system is configured to receive trigger data from a panic button within a vehicle, controlling a camera to capture sensor information of passengers and drivers, obtaining passenger information through user accounts or facial recognition, and generating alert notifications to initiate incident actions such as suspending or terminating user accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional ridesharing platforms connect passengers and drivers without incident monitoring systems, then the platform operation is simple and quick, but safety and security risks increase for both passengers and drivers
Solution Approach 1:
The system performs preliminary actions by pre-positioning trigger devices (panic buttons) in the vehicle and pre-configuring camera systems ready to capture evidence. When an incident occurs, the system has already prepared the infrastructure needed for rapid response, including pre-linked passenger information from user accounts and pre-positioned alert notification systems.
Solution Approach 2:
The computing system acts as an intermediary between the trigger device, camera, passenger information database, and alert notification system. This centralized mediator coordinates all safety functions, managing the flow of trigger data, controlling camera activation, retrieving passenger information, and sending alerts, thereby simplifying the overall system architecture while enhancing safety.
2Difficulty of detecting and measuring
If a panic button is placed underneath the steering wheel and connected to a computing system, then incident detection capability is improved, but the complexity of the vehicle interior increases
Solution Approach 1:
The trigger device (panic button) is extracted as a separate, dedicated component positioned underneath the steering wheel, independent of the main vehicle controls. This extraction allows the incident detection function to be isolated from other vehicle systems, simplifying the overall vehicle interior while adding targeted safety functionality.
Solution Approach 2:
The trigger device is designed as a self-contained component that directly communicates with the computing system without requiring additional intermediaries. When activated, it automatically initiates the incident response sequence, including camera activation and alert generation, reducing the complexity burden on the vehicle interior.
3Loss of information
If the computing system controls the camera to capture sensor information of passengers, then evidence collection for incident reports is improved, but privacy concerns and system complexity increase
Solution Approach 1:
The camera system is pre-positioned and configured within the vehicle interior, ready to capture sensor information. Passenger information is pre-retrieved from user accounts before incidents occur. This preliminary preparation ensures that when an incident is triggered, evidence collection can begin immediately without delays associated with system configuration or setup.
Solution Approach 2:
The system implements feedback mechanisms by capturing sensor information from cameras and comparing it against pre-retrieved passenger information from user accounts. This feedback loop verifies identity and provides additional context for incident reports, enhancing evidence collection while maintaining a manageable system through automated comparison processes.
4Measurement precision
If the system obtains passenger information through user accounts and facial recognition, then incident reporting accuracy is improved, but processing time and computational requirements increase
Solution Approach 1:
Passenger information is pre-obtained and stored from user accounts before incidents occur. Facial recognition templates are pre-processed and ready for comparison. This preliminary preparation eliminates the need for real-time information gathering during incidents, significantly reducing processing time while maintaining high identification accuracy through pre-validated data.
Solution Approach 2:
The system uses partial facial recognition by comparing key facial features against pre-stored templates rather than performing complete facial analysis. This partial action approach maintains sufficient identification accuracy for security purposes while reducing computational requirements and processing time compared to full facial recognition.
5Productivity
If alert notifications are generated based on passenger information and sensor information, then incident response efficiency is improved, but system complexity and energy consumption increase
Solution Approach 1:
The system uses periodic action by generating alert notifications only when triggered by incident data, rather than continuously monitoring and sending alerts. This event-driven periodic operation maintains high incident response efficiency by ensuring alerts are generated precisely when needed, while minimizing energy consumption by keeping the alert system dormant during normal operations.
Solution Approach 2:
The alert notification system operates autonomously by automatically generating and sending alerts based on incident data and pre-retrieved passenger information. This self-service capability eliminates the need for manual alert generation, improving incident response efficiency while consuming minimal energy through automated, on-demand operation rather than continuous monitoring.
Data Source
AI summary
Incidents may be monitored using a camera in response to an activation of a trigger device. Trigger data may be received over a communication network in response to activation of a trigger device disposed within a first area of a vehicle. A camera disposed within a second area of the vehicle may be controlled over the communication network in response to receiving the trigger data, the controlling causing the camera to capture sensor information of a passenger of the vehicle. Passenger information of the passenger of the vehicle may be obtained in response to receiving the trigger data. An alert notification may be generated. The alert notification may comprise at least a portion of the sensor information of the passenger, and the alert notification may be capable of initiating one or more incident actions associated with the passenger.