Multi-Camera Windshield Recorder for Driver Privacy Screening
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Solution Overview
Problem
Existing IoT devices with embedded machine vision, such as those used in intelligent driver monitoring systems, face challenges in efficiently modifying videos to ensure privacy, particularly in vehicles where multiple cameras capture various views.
Innovation Solution
A system comprising a detachable body mounted on a vehicle's windshield, equipped with multiple cameras and processors, which automatically verifies drivers by combining device attributes from beacon devices with personal attributes through biometric verification, and modifies video feeds according to desired privacy settings based on triggering events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are used to capture surrounding views and driver monitoring, then monitoring coverage and security are improved, but device complexity and privacy management difficulty increase
Solution Approach 1:
The system divides the monitoring function into multiple independent camera modules, each capturing specific views (front, rear, side). Each camera operates independently but contributes to the overall monitoring coverage, allowing the system to achieve comprehensive surveillance while maintaining modular complexity management.
Solution Approach 2:
The camera system serves multiple functions simultaneously: capturing surrounding views for security, monitoring driver behavior for safety, and providing visual data for privacy screening. This multi-functionality reduces the need for separate systems and manages overall device complexity.
2Reliability
If video modification is applied to protect privacy, then privacy protection is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs privacy screening by detecting faces and sensitive information in video feeds before the video is stored or transmitted. By identifying and masking sensitive content in advance, the system ensures privacy protection is built into the workflow from the beginning, avoiding time-consuming post-processing operations.
Solution Approach 2:
The patent replaces manual privacy review processes with automated computer vision algorithms for face detection and recognition. This substitution of mechanical/manual operations with automated computational methods significantly reduces processing time while maintaining or improving privacy protection effectiveness.
3Speed
If face detection and recognition are performed in real-time, then driver verification speed is improved, but computational load and energy consumption increase
Solution Approach 1:
The system performs face detection on video frames at selective intervals rather than continuously analyzing every frame. This partial action approach maintains verification speed by catching key moments (when driver enters, during critical operations) while reducing overall computational load and energy consumption compared to continuous full-frame 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.