DVR Hard Disk Video Extraction via Universal File System Parsing
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Solution Overview
Problem
Current methods fail to effectively extract residual and deleted videos from DVR hard disks due to incompatibility issues with different vendors' systems and types of hard disks, leading to data loss and inefficiencies in video data retrieval.
Innovation Solution
A method involving a main system processor connected via high-speed interfaces to parse and extract residual or deleted videos by identifying free areas or delete tags, comparing video files based on stream header information, and converting them into playable files, compatible with various DVR hard disks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional extraction methods are used, then extraction speed may be maintained, but extraction capability across different vendor systems is lost
Solution Approach 1:
The patent implements a universal parsing system that can handle multiple vendor-specific file systems (DVR-HFS, DVR-EXT, DVR-FAT) through a unified architecture. The main system processor automatically detects and adapts to different file system types, enabling single-device extraction capability across diverse DVR vendors without requiring vendor-specific tools for each system.
Solution Approach 2:
The system dynamically changes parsing parameters based on detected file system types. When encountering different vendor formats, the processor automatically adjusts cluster sizes, sector structures, and header parsing methods to match the specific file system requirements, enabling adaptable extraction without manual configuration.
2Productivity
If manual extraction methods are used, then resource requirements may be reduced, but extraction efficiency and automation are worsened
Solution Approach 1:
The extraction system performs self-service through automatic file system detection, automated partition identification, and autonomous video file localization. The main system processor independently navigates the DVR hard disk structure, identifies residual and deleted videos, and executes extraction without requiring manual intervention at each step, significantly improving productivity while optimizing resource usage through intelligent automation.
Solution Approach 2:
The system performs preliminary actions by first detecting and analyzing the file system structure before initiating video extraction. It pre-identifies partition boundaries, cluster allocations, and potential video locations through automated scanning, preparing the extraction path in advance to minimize computational resources during the actual extraction process.
3Reliability
If comprehensive scanning is performed, then extraction completeness is improved, but processing time increases
Solution Approach 1:
The patent segments the extraction process into distinct phases: file system detection, partition identification, video localization, and file extraction. By dividing the comprehensive scanning task into manageable segments with specific objectives, the system maintains high extraction completeness while reducing overall processing time through structured, phased execution rather than monolithic scanning.
Solution Approach 2:
The system extracts and processes only the essential information needed for video recovery at each stage. Instead of comprehensively analyzing every sector, it selectively extracts file system metadata, partition tables, and video file headers to identify extraction targets, then focuses detailed processing only on identified video locations, maintaining completeness while minimizing time loss.
Data Source
AI summary
A method for extracting residual videos in a DVR hard disk and deleted videos, including: 1) connecting and recognizing devices; 2) judging whether a file system can be recognized; 3) if so, parsing disk partitions and matching the file system; 4) scanning sectors one by one; 5) parsing video data, capturing and recording same; 6) enumerating a video list and displaying same; and 7) extracting videos. Parsing and data extraction can be conducted on all DVR hard disks of various types of various manufacturers, and files in the hard disks can be reorganized into valid, single-channel and continuously played video files; and useful video data can be parsed and screened out, thereby reducing human and material resources.