progress-photo-analyzer

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Analyze construction site photos to track progress, detect safety issues, and compare against BIM models using computer vision.

AI & Automation 310 stars 79 forks Updated 2 weeks ago MIT

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Quality Score: 91/100

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90
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Progress Photo Analyzer ## Business Case ### Problem Statement Site photos are underutilized for progress tracking: - Manual review is time-consuming - Subjective progress assessment - No systematic comparison to plans - Safety issues may be missed ### Solution AI-powered photo analysis system that extracts progress information, detects safety concerns, and compares site conditions to BIM models. ### Business Value - **Automation** - Reduce manual photo review - **Accuracy** - Objective progress measurement - **Safety** - Automatic hazard detection - **Documentation** - Structured photo records ## Technical Implementation ```python import pandas as pd from datetime import datetime, date from typing import Dict, Any, List, Optional, Tuple from dataclasses import dataclass, field from enum import Enum from pathlib import Path import base64 class PhotoType(Enum): """Types of construction photos.""" PROGRESS = "progress" SAFETY = "safety" QUALITY = "quality" GENERAL = "general" DELIVERY = "delivery" class AnalysisStatus(Enum): """Analysis status.""" PENDING = "pending" ANALYZING = "analyzing" COMPLETED = "completed" FAILED = "failed" class SafetyIssue(Enum): """Detected safety issues.""" MISSING_PPE = "missing_ppe" FALL_HAZARD = "fall_hazard" HOUSEKEEPING = "housekeeping" SCAFFOLDING = "scaffolding" ELECTRICAL = "electrical" EXCAVATION = "excavation" NONE = "none" class WorkActivity(Enum):...

Details

Author
datadrivenconstruction
Repository
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
Created
7 months ago
Last Updated
2 weeks ago
Language
Python
License
MIT

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