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

0 likes · 18 views · Jul 8, 2026

An AI computer vision API built to validate field installations, helping teams check work against requirements through automated visual analysis.

Timeline

Apr 21, 2026 - Jun 30, 2026