HEXIGON

Drone Inspection and Monitoring System

Implemented a sophisticated microservices architecture with real-time drone and robot monitoring, advanced analytics for inspection data, and a dual-interface design optimized for both mobile and desktop environments.

Capabilities

Microservices architecture (Docker, Kubernetes) for horizontal scalability
Low-latency, real-time streaming of 4K/thermal/LiDAR feeds
AI-driven anomaly detection & automated measurements
Unified React-based web dashboard & field-optimized mobile app
Configurable, multi-channel alert engine (SMS, email, in-app)

Technologies

Kubernetes & Docker
Python (TensorFlow, OpenCV)
Kafka for streaming
React & React Native
PostgreSQL & S3 storage

Team

5 Software Engineers
3 Testers
1 Product Owner

Outcome Achieved

35% reduction in inspection cycle time
50% faster defect detection
Zero critical defects missed in pilot
95% system uptime
~95% ROI in year 1

Value Delivered

Smarter, Safer, Cheaper: AI-Driven Inspections at Scale

Delivered a turnkey solution that eliminated dangerous manual inspections; reduced inspection times by ~35% while AI analytics uncovered ~48% more issues; centralized data lake enabled predictive maintenance; automated audit trails ensured compliance; clients saw 20–25% cost savings.

Customer

SkyTech Inspections

SkyTech Inspections is a Vietnam-based aerospace & infrastructure tech provider operating 200+ autonomous drones across sectors (airports, bridges, energy, agri-tech). They process ~10 TB of inspection data monthly and needed a real-time, data-rich platform to replace slow, hazardous manual inspections.

Key Highlights

Decoupled ingestion, processing & analytics into independent, scalable services.

<1s latency video streams for rapid decision-making.

ML models flag defects and measure anomalies automatically.

Dual UIs: streamlined mobile for field & full web for HQ.

Dynamic threshold alerts via SMS, email & in-app notifications.

Customer Testimonial