Universal WEB Scan
The product focuses on the development of a universal web-based scanning system, known as the Intelligent Multi-Interface Platform Universal Web Scanning (IMIP UWS). This system enables users to perform scanning operations using a web browser and TWAIN scanner. The scanned documents are then automatically and asynchronously uploaded to a central web server for further processing. Subsequently, the system inserts the processed documents into a 3rd party Document Management System (DMS).
The IMIP UWS is designed to be well-suited for distributed scanning environments, particularly in scenarios with numerous scan locations spread across a country. This makes it ideal for organizations with a vast network of locations that require scanning capabilities.
Key Features
The system offers various key features that enhance the scanning experience and data processing:
- Suitable for Distributed Scanning Environment
- Easy and Fast Deployment: IMIP UWS ensures quick and seamless deployment, enabling organizations to set up the scanning system efficiently.
- High Flexibility for Customization: The system provides a high level of flexibility, allowing customization based on specific requirements. Customers can tailor settings for content type, auto-naming, scan profiles, barcode reading, and more.
- Customizable Scripting for Barcode Extraction and Validation: IMIP UWS allows users to employ custom scripting for barcode extraction and validation, providing a customizable and efficient approach to managing barcode data.
Technology Stack
The IMIP UWS is built using the Microsoft technology stack, which includes various Microsoft tools and frameworks, ensuring reliability and performance.
Global Licensing
The system is licensed to global partners, meaning it is available for adoption on an international scale, opening opportunities for its implementation in various regions and industries.
Case Study
A global software vendor has successfully licensed the IMIP UWS for integration into their crowdsourcing solution. Their clients use the system to scan documents from hundreds of locations in Australia and India. The scanned documents are then submitted to the crowdsourcing hub, based on Amazon Mechanical Turk, for further processing. This case study showcases the system’s adaptability to handle large-scale scanning operations, with up to 10 million pages processed annually.
