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Case Study

Oil Company Safety Scanner

A computer vision MVP that allows field workers to verify safety procedures by snapping a photo of their equipment and environment.

Client: Confidential Enterprise Energy Client

Summary

Built for a major oil and gas entity, this safety scanner uses computer vision to reduce on-site accidents.

What We Built

Mobile-optimized web interface for low-latency photo uploads.
Computer Vision model specialized in PPE detection.
Offline-capable data sync for remote sites.
Admin safety dashboard for real-time compliance monitoring.

Delivery Timeline

Week 1: Field Discovery

Gathered and labeled 2,000+ safety-critical images.

Week 2: Model Engineering

Fine-tuned the detection model.

Week 3: Frontend PWA

Built the high-contrast UI for outdoor use.

Week 4: Enterprise Integration

Integrated with Azure SSO.

Architecture

frontend

React Native (Web-optimized) for PWA deployment.

backend

FastAPI with high-performance image processing.

auth

Azure Active Directory (SSO) integration.

data

MongoDB for flexible storage.

ai

Fine-tuned YOLO model for real-time object detection.

Security

rbac

Strict role-based access for field workers, supervisors, and auditors.

secrets

Azure Key Vault for managing SSO certificates.

logging

Immutable audit logs for safety compliance records.

monitoring

Azure Monitor for uptime and inference latency.

Deliverables

Fine-tuned CV modelsMobile PWA source codeEnterprise Admin DashboardTechnical training manual

FAQ

Frequently Asked Questions

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