AI Computer Vision API for Field Installation Validation
Mcnove Pineda
AI Computer Vision API for Field Installation Validation
Project Overview
I developed an AI-powered Computer Vision API that automates field installation photo validation for a telecommunications workflow.
The system analyzes installation evidence photos in real time, extracts technical information, validates image quality, and provides structured results through a scalable backend API.
The solution was built using Python, FastAPI, and OpenCV, replacing dependency on external AI services with a customizable computer vision pipeline designed for production use.
The Challenge
The existing validation workflow relied on external AI vision APIs, which created several operational challenges:
Slow response times during high-volume usage
Limited control over validation logic
Dependency on third-party AI services
Difficulty detecting invalid installation evidence photos
Need for accurate location verification
The goal was to create an independent AI validation system capable of processing thousands of field images while maintaining reliability and flexibility.
My Role
AI Engineer / Full Stack Developer
I was responsible for designing and developing the complete backend vision system, including:
Computer Vision pipeline architecture
FastAPI backend development
Image processing algorithms
OCR extraction workflows
Geolocation services
API documentation
Docker deployment preparation
Laravel backend integration support
Solution
I built a modular AI validation platform combining Computer Vision, OCR, and geospatial technologies.
The system receives installation photos through REST APIs and performs multiple validation steps automatically.
Computer Vision Processing
Using Python and OpenCV, the system performs:
Blur detection
Brightness analysis
Dark image detection
Image quality evaluation
Screen-photo detection
Installation context validation
OCR Data Extraction
The API extracts important technical information from images, including:
Equipment serial numbers
Optical power values
Device information
Geolocation Services
Implemented geospatial processing capabilities:
Coordinate distance calculation
Address-based distance calculation
Real route distance calculation using OSRM
Batch distance processing
System Architecture
Field Mobile Application
↓
FastAPI Vision API
↓
Python + OpenCV Processing Pipeline
↓
OCR & Validation Engine
↓
Structured API Response
↓
Laravel Backend Integration
Key Features
✓ Real-time image validation API
✓ Automated field evidence verification
✓ Computer Vision based image analysis
✓ OCR-powered technical data extraction
✓ Geolocation distance calculation
✓ Swagger/OpenAPI documentation
✓ Docker-based deployment architecture
✓ Scalable backend design
Technology Stack
Backend
Python
FastAPI
REST API
Pydantic
Computer Vision / AI
OpenCV
OCR
Image Processing
Computer Vision Algorithms
Infrastructure
Docker
Linux
Swagger / OpenAPI
Integration
Laravel Backend
Existing field operation systems
Development Process
1. Architecture Design
Analyzed the existing validation workflow and designed a scalable backend architecture to support automated image processing.
2. API Development
Created structured REST endpoints for:
Image validation
OCR extraction
Geolocation calculation
Batch processing
3. Computer Vision Implementation
Developed image analysis workflows to automatically detect quality issues and validate field evidence.
4. Integration Preparation
Prepared the API for connection with existing Laravel systems and production deployment.
Results & Impact
The project delivered:
A dedicated AI validation backend independent from external AI APIs
Faster and more controllable image processing workflows
Custom validation logic based on business requirements
Structured API responses for system integration
Production-ready backend architecture
Engineering Highlights
This project demonstrates experience across multiple areas:
Artificial Intelligence Engineering
Computer Vision Development
Python Backend Engineering
API Architecture
OCR Processing
Geospatial Technology
Production System Design
Skills
Python
FastAPI
OpenCV
Computer Vision
AI Engineering
Backend Development
REST API
OCR
Docker
Geospatial Development
Laravel Integration
Image Processing
API Architecture
Like this project
Posted Jul 8, 2026
Developed an AI-powered computer vision API for telecommunications installation validation.
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Timeline
Apr 21, 2026 - Jun 30, 2026
