Windshield Multi-Camera Driver Video Privacy Screening
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Solution Overview
Problem
Current methods for safeguarding sensitive information in video data from IoT devices, such as those used in intelligent driver monitoring systems, are costly, prone to errors, and time-consuming, particularly when modifying videos to ensure privacy, and there is a need for automated and efficient solutions to address privacy concerns in video data collection and usage.
Innovation Solution
The system employs a multi-camera setup with a detachable body mounted on a vehicle's windshield, featuring cameras that capture both exterior and interior views, along with a processor that automatically verifies drivers using beacon devices and biometric attributes, and modifies video streams based on predefined privacy modes triggered by specific events, such as changes in vehicle status or passenger presence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to modify video data to ensure privacy, then privacy protection can be achieved, but the process becomes costly, time-consuming, and error-prone
Solution Approach 1:
The system performs automatic privacy screening of video data without requiring manual intervention. The processor autonomously identifies sensitive information in video frames and applies appropriate privacy protections, eliminating the need for costly and time-consuming manual review processes while maintaining high reliability in privacy protection.
Solution Approach 2:
The patent replaces manual mechanical review processes with automated electronic processing. The system uses processors to automatically analyze video data, detect sensitive information, and apply privacy modifications, substituting the mechanical human review process with efficient electronic automation that reduces both time and cost.
2Productivity
If comprehensive video data is collected for driver monitoring and safety purposes, then beneficial safety monitoring is enabled, but sensitive personal information privacy risks increase
Solution Approach 1:
The system applies different privacy protection treatments to different regions and types of information within the video data. Sensitive personal information such as faces and license plates receives specific privacy protections like blurring or masking, while other portions of the video that contain valuable safety monitoring information remain clear and analyzable. This allows simultaneous achievement of safety monitoring effectiveness and privacy protection.
Solution Approach 2:
The patent segments video data into different information categories, separating sensitive personal information from beneficial safety monitoring data. By identifying and isolating specific elements like faces, license plates, and personal identifiers, the system can apply targeted privacy protections to these segments while preserving the overall utility of the video data for safety analysis.
Data Source
AI summary
Systems and methods are provided for recording video of a driver in a vehicle and a surrounding visual field of the driver. The system includes a detachable body coupled to a windshield of a vehicle. The system further includes three or more cameras coupled to the detachable body. The three or more cameras are configured to capture surrounding views from the detachable body. One of the three or more cameras faces a driver seat of the vehicle in response to the detachable body being coupled to the windshield of the vehicle. The video may be processed by the system, the cloud, or a combination of them.