🛰️ TowerVision: AI-Powered Telecom OCR & Analytics Platform

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Tags:
telecom ocr image-processing computer-vision opencv tesseract-ocr python flask pandas numpy firestore google-vision-api data-analytics powerbi automation data-visualization field-operations end-to-end-project portfolio-project

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📡 Overview

The Telecom Tower Performance Management System is an AI-powered platform built to optimize telecom site monitoring through automated image validation, OCR-based data extraction, and report generation. It enables seamless coordination between administrators, riggers, and engineers, ensuring efficient data tracking before and after tower equipment changes.

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🎯 Key Objectives

• Enable image-based data validation using OCR and computer vision.
• Automate tower site assignment and performance tracking.
• Streamline data submission from riggers (field engineers).
• Generate accurate, actionable analytics and reports for audits.
• Maintain traceability of pre and post-installation changes.

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🔍 Core Features

🔐 Authentication

• Secure Admin and User login portals.
• Role-based access to dashboards and functionalities.

🧾 OCR & Image Validation

• Integrated Tesseract OCR and OpenCV pipelines for extracting key image data:
  • Antenna height
  • Mechanical tilt
  • Pole tilt
  • Azimuth
  • Clutter
• Pre-trained image recognition models for validating user-uploaded tower images.

🗃️ Pre/Post-Change Data Handling

• Upload & store pre-implementation images by riggers.
• Capture post-implementation images with updates.
• Automated comparison between pre and post parameters.
• Visual folder structure for storing images by site and timestamp.

🛠️ Admin Capabilities

• Allocate towers to riggers based on project and region.
• View and confirm submitted image data.
• Download Excel-based reports and image logs.
• Trigger post-change updates and validations.

👷‍♂️ User (Rigger) Tools

• View assigned sites and project details.
• Upload pre and post change images.
• Validate captured images before submission.
• Monitor upload status and receive success confirmations.

📊 Analytics & Reports

• Generate detailed pre/post change Excel reports.
• Visual dashboards using Power BI to show:
  • Engineer performance
  • Validation accuracy
  • Completion rate
  • Error trends

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🧱 System Modules

Admin Panel

• ✅ Site Allocation to Riggers
• 📥 View/Download Pre/Post Data
• 🖼️ Image Folder Access
• 📄 Excel Report Export

User Panel

• 📍 Allocation View
• 📤 Image Upload (Pre/Post)
• 📁 Folder-based Image Storage
• 📑 Submission Status

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🧠 Technologies Used

• Backend: Python, Flask (REST API)
• OCR & Vision: OpenCV, Tesseract OCR, Google Vision API
• Data Handling: Pandas, NumPy
• Database: Firestore (Cloud-based NoSQL DB)
• Visualization: Power BI
• Image Storage: Structured folder architecture

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🧪 Sample Workflow Diagram

flowchart TD
    A[User Uploads Pre-Change Images] --> B[OCR & Image Processing]
    B --> C[Data Extraction & Validation]
    C --> D[Admin Review & Approval]
    D --> E[User Uploads Post-Change Images]
    E --> F[Automated Comparison]
    F --> G[Report Generation & Dashboard Update]

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