Multi-Camera Driver Video Privacy Control With Driver Verification
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Solution Overview
Problem
Existing IoT devices with cameras struggle to balance data privacy and functionality, particularly in applications like intelligent driver monitoring systems where privacy concerns can lead to incomplete data capture.
Innovation Solution
An apparatus and method for modifying video data based on a desired privacy mode, using a system with multiple cameras mounted on a vehicle to capture driver and surrounding views, and employing device and biometric verification to authenticate drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video data is captured continuously for monitoring purposes, then monitoring completeness is improved, but privacy protection deteriorates
Solution Approach 1:
The video data is segmented into different types (driver video, passenger video, surround video) with different privacy handling rules. Driver video data is encrypted and protected, while surround video data is used for monitoring without privacy concerns. This segmentation allows simultaneous monitoring completeness and privacy protection by applying different processing rules to different data segments.
Solution Approach 2:
Different privacy protection measures are applied to different portions of the video system. The driver-facing camera implements encryption and privacy modes, while other cameras (passenger, surround) operate without such restrictions. This local differentiation enables the system to maintain monitoring completeness in non-sensitive areas while protecting privacy in sensitive areas.
2Object-affected harmful factors
If privacy modes are applied to video data, then privacy protection is improved, but data usability deteriorates
Solution Approach 1:
An encryption intermediary layer is introduced between video capture and data storage/processing. The video data is encrypted using cryptographic algorithms (AES-256, RSA-2048) before being stored or transmitted. This intermediary protection mechanism preserves the original data usability while adding privacy protection, as the encrypted data can still be decrypted and used when needed with proper authorization.
Solution Approach 2:
The privacy protection mechanism changes the encryption parameter state dynamically. Video data is encrypted with specific cryptographic parameters and stored in an encrypted state. When usability is needed, the decryption process changes the parameter state back to plaintext. This parameter transformation allows the system to switch between privacy protection and data usability as needed.
3Measurement precision
If multiple verification methods are implemented, then verification accuracy is improved, but system complexity deteriorates
Solution Approach 1:
Multiple verification methods (face recognition, device verification, biometric authentication) are merged into a unified verification system. The system combines these different verification approaches to work together synergistically, improving overall verification accuracy while managing complexity through integration rather than separate independent systems.
Solution Approach 2:
The verification system is designed with multi-functionality to handle multiple verification methods through a single unified interface. The same verification module can perform face recognition, device verification, and biometric authentication depending on the input type, reducing system complexity by avoiding separate dedicated systems for each verification method.
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.