Image Capture & Validation Platform

Image Capture & Validation Platform

This is a single-page application (SPA) designed to capture and validate structured data from product images in retail and consumer goods industries. Built with Angular for a responsive front-end, Node.js for backend processing, and AWS for scalable hosting, it features a multi-stage workflow with ImageCapture, Capture QA, and Content Validation queues. Supporting QC User, Remediator, and Supervisor roles, the platform ensures high accuracy through automated content extraction, error logging, and real-time tracking, streamlining product data management.

Challenges & Solutions

Challenges

  • Handling large volumes of high-resolution images without performance degradation.
  • Ensuring accuracy in automated content extraction processes.
  • Managing multi-role, multi-stage workflows without bottlenecks.

Solutions

  • Implemented asynchronous image processing with Angular’s reactive programming and AWS S3 for scalable storage.
  • Integrated customizable extraction pipelines with machine learning APIs to enhance recognition accuracy by 20%.
  • Developed a standardized JSON-based data format for form configurations, ensuring compatibility and uniformity across both applications.

Technology Stack

  • Frontend: Angular, TypeScript, Bootstrap
  • Backend: Node.js, Express
  • Database: MongoDB
  • Cloud Hosting: AWS (EC2, S3)
  • Testing: Jasmine, Karma
  • APIs: RESTful APIs, Machine Learning APIs for content extraction
  • Tools: Visual Studio Code, AWS CLI, Git

Client Benefits

  • Faster Turnaround: Reduced data capture and validation time by 35%, streamlining product processing workflows.
  • Higher Accuracy: Improved data extraction accuracy by 20%, enhancing data quality for business applications.
  • Increased Productivity: Enabled parallel processing across user roles, boosting overall operational efficiency.

Approach

  • Asynchronous Processing
    Utilized Angular’s RxJS and Node.js for asynchronous image uploads and content extraction, ensuring smooth performance.
  • Role-Based Workflow Engine
    Built a dynamic workflow system with Angular components to manage QC, remediation, and approval stages.
  • Real-Time Tracking & Testing
    Implemented real-time progress tracking and rigorous testing with Jasmine/Karma to ensure transparency and reliability.
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