ESP Safety OCR
LANCER
Lancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
(Development)
Project Description
ESP designs and manufactures advanced detection systems, specializing in fixed toxic and combustible gas detectors, flame detectors, sand detectors, and pig detectors. They approached Oodles Platform to automate information extraction from documents. Oodles implemented OCR technology to read documents and a Similarity algorithm to compare content. This enhanced ESP's systems, improving efficiency, accuracy, and functionality.
Scope Of Work
Our goal for the project is to enhance the capabilities of ESP's detection systems by implementing OCR (Optical Character Recognition) technology to read documents and implementing a Similarity algorithm to compare the content of the documents. This will enable ESP to automate the process of extracting information from documents, improving efficiency and accuracy. By leveraging OCR and Similarity algorithms, ESP will have the ability to quickly analyze and compare document content, providing valuable insights and enhancing the overall functionality of their detection systems.
Our Solution
By implementing the finest services and technologies, we enhanced ESP's detection systems by automating the document processing and analysis workflow, improving overall efficiency and accuracy. Our solution for ESP includes the following services and technologies:
- Implemented OCR (Optical Character Recognition) technology using Pytesseract as the OCR engine. This allows us to accurately extract text from documents, enabling automated processing and analysis.
- Integrated a Similarity algorithm, specifically the COSIN similarity algorithm, to compare the content of the extracted documents. This algorithm provides a measure of similarity between documents, enabling ESP to identify patterns and detect anomalies.
- Hosted the services on an AWS EC2 instance, providing a scalable and reliable infrastructure for the application.
- Utilized Python programming language and the Django framework for efficient development and management of the application.
- Integrated MySQL database for storing and retrieving document data, ensuring data integrity and accessibility.
Share Your Requirements