Business Needs

To improve operational efficiency and enhance document management, the client, a Japanese Advanced High Tech Company, sought an AI-driven solution to:

• Minimize manual effort and enhance user experience in document retrieval and report management.
• Digitalize machinery documents for seamless storage and quick retrieval, including scanned and editable PDFs.
• Consolidate machine condition reports to enable proactive maintenance and extend machinery lifespan.

Solution

Our partner developed an AI-powered document management system tailored to the client’s needs. The system leverages advanced Optical Character Recognition (OCR) to convert scanned documents into searchable text, ensuring efficient storage and retrieval. Additionally, Named Entity Recognition (NER) technology was integrated to categorize key information, streamlining report analysis and accessibility.

Key Features:

• Automated OCR Processing – Converts scanned PDFs into searchable and editable documents.
• Intelligent Report Consolidation – Aggregates machine condition data to facilitate proactive maintenance.
• Advanced Search & Retrieval – AI-driven indexing for fast and efficient document access.
• User-Friendly Interface – Simplified navigation for seamless document management.

Results: The implemented solution significantly improved document accessibility and reduced manual data processing time. With automated report consolidation, the client achieved enhanced machine maintenance scheduling, reducing downtime and increasing overall operational efficiency.

Technologies

• Languages and frameworks: Python 3, Pytorch, OpenCV, SpaCy
• Machine Learning (Deep Learning): OCR( Layout Analysis, Text Localization, Text Recognition), Named Entity Extraction. 
• Cloud Computing: Amazon Web Services (AWS)