Real-Time Traffic Image Sharing via Cloud Intermediary
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Solution Overview
Problem
Current vehicle event data recorders (VEDRs) require manual retrieval and uploading of traffic images, which is cumbersome, time-consuming, and poses privacy risks due to the need for immediate handling and sorting of images, limiting their immediate sharing and value.
Innovation Solution
A system comprising a traffic recording device, a hand-held communication device, and a cloud server that enables real-time transmission and sharing of traffic images through wireless modules, including Wi-Fi and RF, allowing automatic image capture, processing, and storage on the cloud server, with features for image duplication check and privacy protection by fogging faces and license plates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual retrieval and uploading of traffic images is used, then privacy protection is improved, but ease of operation deteriorates and time consumption increases
Solution Approach 1:
The system enables automatic image transmission from the VEDR to the cloud server without requiring user intervention. The VEDR automatically uploads traffic images to the cloud server via wireless communication, eliminating the need for manual retrieval and uploading while maintaining privacy through automated privacy protection processing.
Solution Approach 2:
The cloud server acts as an intermediary between the VEDR and users. It receives images from the VEDR, performs automated privacy protection processing (blurring license plates and faces), and then makes images available for sharing. This intermediary role automates privacy protection while simplifying user operations.
2Reliability
If manual retrieval and uploading of traffic images is used, then privacy protection is improved, but time consumption increases
Solution Approach 1:
The system performs privacy protection processing in advance automatically. When images are uploaded to the cloud server, privacy protection processing (blurring sensitive information) is immediately performed without requiring user action, thus protecting privacy while eliminating time consumption for manual handling.
Solution Approach 2:
The VEDR and cloud server automatically handle image transmission and privacy protection without user intervention. The system self-manages the entire process from image capture to privacy-protected storage, eliminating the time users would otherwise spend on manual retrieval and uploading.
3Productivity
If immediate handling and sorting of images is required, then sharing value is improved, but device complexity increases
Solution Approach 1:
The cloud server serves as an intermediary that automatically manages image storage, privacy protection, and retrieval. It handles the complexity of image management including automatic sorting, storage organization, and privacy processing, while users can immediately access and share images through simple operations.
Solution Approach 2:
The system automatically performs image management tasks including uploading, privacy protection processing, and storage organization without requiring user intervention. The VEDR automatically transmits images and the cloud server automatically manages them, enabling immediate sharing value without increasing user-facing device complexity.
4Adaptability or versatility
If images are uploaded to public network, then sharing accessibility is improved, but privacy protection deteriorates
Solution Approach 1:
The cloud server acts as a trusted intermediary between the VEDR and the public network. It receives images from the VEDR, automatically performs privacy protection processing (blurring license plates and faces), and then uploads the protected images to the public network for sharing. This ensures both accessibility and privacy protection.
Solution Approach 2:
The system extracts and removes sensitive information from images before making them available on the public network. Privacy protection processing automatically identifies and blurs sensitive elements (license plates, faces) by extracting them from the image data, allowing the rest of the image to be shared publicly without privacy risks.
Data Source
AI summary
This invention provides a system for sharing real-time recording and the method thereof. The system in this invention transmits the traffic image from the traffic recording device to the cloud server database for storage by the hand-held communication device. Here, the system for sharing real-time recording includes at least three parts: a traffic recording device, a hand-held communication device and a cloud server. User can automatically transmit traffic image provided by the vehicle event data recorder capable of transmitting traffic image to the cloud server by the system and its method disclosed here to achieve real-time sharing of the traffic images.