Case Study 2017 — 2018

Scanbots

Autonomous drone platform for infrastructure monitoring with AI-powered image recognition, real-time processing, and automated defect detection.

Python Node.js Vue.js
€2M+
Funding Raised
10+
Team Members
TB+
Data Processed
Real-time
Analytics

The Challenge

Large-scale infrastructure inspections were costly and risky, and manual methods could not keep up with asset volume. The industry needed a safe, automated system to detect defects quickly and reliably.

The Solution

Built an autonomous drone platform combining hardware, AI models, and a robust data pipeline to detect defects in real time. The system automated inspections, accelerated reporting, and scaled safely across assets.

Technical Implementation

Backend Architecture

  • Python data pipeline for sensor data

Frontend Stack

  • Vue.js monitoring dashboard

Key Features

  • Autonomous flight planning

Results & Impact

Secured €2M+ in funding and delivered a production-ready platform that reduced inspection costs while improving safety. The system processed massive imagery volumes with real-time defect detection for clients.

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