Digital Transformation
Converted fragile legacy media into searchable, structured digital archives
CASE STUDY
Enterprise-Scale Records Digitization Program
Value Delivered
Preservation & Data Protection
Ensured long-term access and safeguarding of irreplaceable historical records
Operational Efficiency
Systematic multi-phase delivery at 15M+ images/month processing throughput
AI-Ready Architecture
Structured outputs engineered for downstream analytics and machine learning workflows
Executive Summary
iBridge supported San Bernardino County in a multi-year digital transformation program, processing over 44 million records across 12 distinct phases from 2019 to 2025. Engaged through a prime contractor, we delivered highly accurate, structured outputs with 99.99% accuracy resolving complex defects across legacy rollfilm, bound books, and mixed-format media enabling long-term preservation, searchability, and AI-ready data architecture for one of California’s largest counties.
Project Snapshot
Engagement DetailsProject Type
Multi-phase records digitization program
Processing Scale
15M+ images per month
Media Types
- 16mm Rollfilm
- 35mm Rollfilm
- Bound Books
- Mechanical Books
Specialization
Land records, rollfilm & book digitization, QA, enhancement
Total Volume
44+ Million Images
Program Scope
Volume by Type400K
Newspapers
384K
Deeds
233K
Books
2.3M
Official Records
12M
Official Records
14.3M
Rollfilm
12.1M
Official Records
292K
Mining
70K
Grantor / Grantee
46K
Vital Records
Processing Methodology
Challenges ResolvedBorder Cleanup
Extraneous edges, frame artifacts, and irregular boundaries introduced during film capture were systematically removed, producing clean, uniform image boundaries suitable for indexing and downstream processing.
Image Inspection
Frame-level review identified defects, polarity inversions, step misalignments, and other quality anomalies before they could propagate into the final dataset, enabling targeted intervention at the source.
Image Enhancement
Contrast imbalances, brightness variations, bleed-through, and film-specific degradation were corrected through a targeted enhancement pipeline, ensuring archival-quality output prior to final delivery.
Step Issues
Frames affected by step misalignment during scanning were isolated and reconverted using corrected parameters, restoring proper sequence and image integrity across the affected records.
Polarity Issues
Legacy film polarity inversions where document tones were reversed during original capture were detected and corrected to restore the true appearance of source documents.
Duplicate Images
Redundant frames introduced through scanning overlap or process error were identified and removed through systematic deduplication protocols applied across all processing phases.
Incorrect Mapping
Mixed and out-of-sequence image sets were identified, untangled, and remapped to their correct document structures, ensuring accurate record assembly and reliable database retrieval.
Film Scratches
Linear defects caused by physical film damage were detected during inspection and corrected through the image enhancement pipeline, preventing scratch artifacts from appearing in the final digital record.