Audio-Visual Data Indexing for Vehicle DVRs
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Solution Overview
Problem
Traditional video, audio, and data collection systems, especially mobile DVRs used in vehicles, face challenges in aggregating and sharing information due to local storage and the labor-intensive process of identifying recordings across multiple devices, making it difficult to determine which video file was recorded on which vehicle.
Innovation Solution
A method of indexing audio-visual segments by storage location and recording time to create a segment hierarchy, allowing for easy identification and sorting, which can be stored on a central database via docking stations or wireless networks, enabling efficient searching and display as a tree view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video and audio data are stored locally on standalone DVRs, then each device can independently record and store surveillance information, but aggregating and sharing data across multiple devices becomes very difficult and time consuming
Solution Approach 1:
The patent merges multiple standalone DVR systems into a networked architecture where devices communicate through a common server. The server consolidates video streams, audio data, and device metadata into a unified database, enabling centralized management while preserving individual device recording capabilities. This resolves the contradiction by maintaining independent recording reliability while dramatically improving data aggregation productivity through networked consolidation.
Solution Approach 2:
The server component performs multiple functions simultaneously: it acts as a data aggregation point, a centralized storage repository, a metadata management system, and a user interface platform. This multi-functional approach allows the system to maintain standalone device independence while providing unified data access, thereby improving productivity without sacrificing the reliability of individual recording units.
2Area of stationary object
If multiple standalone video recorders are used, then surveillance coverage can be expanded across multiple locations, but the process of viewing and analyzing data requires labor intensive manual checking of each DVR individually
Solution Approach 1:
The server acts as an intermediary between multiple DVR devices and the user interface. It automatically collects video streams and metadata from all devices, organizes them by location and time, and presents them through a unified graphical interface. This eliminates the need for manual checking of each DVR, reducing data review time while maintaining expanded surveillance coverage across multiple locations.
Solution Approach 2:
The system creates virtual copies of surveillance data from multiple physical DVRs and presents them through a single unified interface. Instead of requiring users to physically access or remotely connect to each individual DVR, the server generates consolidated representations of all surveillance feeds, allowing simultaneous viewing and analysis of data from multiple locations without increasing user time investment.
3Adaptability or versatility
If mobile DVRs use removable recording media, then flexibility in media management is improved, but determining which video file was recorded on which vehicle becomes time consuming
Solution Approach 1:
The system performs preliminary indexing of video files with vehicle identification metadata at the time of recording or during initial data transfer to the server. Each video file is automatically tagged with information about which vehicle it was recorded on, creating an organized database structure before user access is needed. This preliminary organization maintains media flexibility while eliminating time-consuming manual vehicle identification when reviewing footage.
Solution Approach 2:
The server implements an automatic feedback system that tracks and records metadata about each video file's origin, including vehicle identification, location, and timestamp. This metadata is continuously updated and maintained in the centralized database, providing immediate feedback when users query the system. The feedback mechanism automatically associates each video file with its source vehicle, eliminating manual identification time while preserving the flexibility of removable media management.
Data Source
AI summary
A method for cataloguing audio-visual data including indexing a plurality of audio-visual segments by specifying a storage location and recording time of each segment. A segment hierarchy is created based on the locations and times of each recording. The plurality of audio-visual segments can be recorded with a mobile digital video recorder onto a removable medium located within a vehicle such that the mobile digital video recorder can identify the vehicle in which the removable medium is located in while recording each segment.