As a critical arm of the US government, is dedicated to maintaining air superiority, executing global strikes, ensuring rapid global mobility, conducting intelligence, surveillance, and reconnaissance, and providing command and control. To achieve these objectives, the organization prioritizes the health and safety of its personnel and the integrity of its supply chain, while continually adapting to evolving regulations and emerging challenges.
The client faced significant challenges in extracting data fields from Material Safety Data Sheets (SDS) due to a manual process that required extensive human input. This manual extraction not only consumed a considerable amount of time but also necessitated a large team to manage the workload. Given the complexity of SDS extraction, which is a common issue for chemical-handling companies worldwide, the client sought an AI-driven solution to automate the process. This would reduce dependencies and streamline operations with a centralized system.
To address the challenges, we used computer vision and machine learning models to automate SDS data extraction and visualization.
Employed advanced technologies to automate the extraction of data from SDS.
Developed and implemented advanced algorithms to extract, segment, and classify text from SDS to accurately fetch key-value pairs for precise data retrieval.
Processed and displayed extracted data clearly and efficiently on the user interface.
Added graphical representations to enhance the analysis and utilization of SDS data points.
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