AssetGuard AI: Heavy Machinery and Attachments Detection
An AI computer vision solution for real-time detecting heavy machinery and attachments from drones to prevent equipment loss on industrial sites.
Key Results
Client
A major industrial construction company operating across 12 countries, managing heavy machinery fleets worth hundreds of millions of dollars on large-scale infrastructure projects.
Objective
Develop an AI-powered computer vision system capable of detecting, classifying, and tracking heavy machinery and attachments from drone footage in real-time, integrated with the client's existing asset management platform.
Industry
Services used
Project Team
AI/ML EngineerComputer Vision SpecialistBackend DeveloperDevOps EngineerQA EngineerProject Manager
Work Approach
Data Collection & Model Training
We collected and annotated over 50,000 aerial images of heavy machinery across various environments. Using transfer learning on YOLO-based architectures, we trained models to detect 28 equipment categories with 95%+ accuracy.
Edge Computing Architecture
The solution was designed to run inference on edge devices attached to drones, enabling real-time detection without requiring constant cloud connectivity. We optimized models with TensorRT for NVIDIA Jetson platforms.
Platform Integration
The detection system feeds data into a web dashboard showing real-time equipment locations, automated alerts for unauthorized movement, and historical tracking. Integration with the client's ERP ensures asset records stay synchronized.
Technical Architecture
Results Achieved
Complete automation of asset monitoring
AssetGuard AI achieved 95.8% detection accuracy in real-world field tests, fully automating asset monitoring missions that previously required manual inspections. Equipment loss incidents dropped by 70% within the first six months, saving the client an estimated $2.3M annually.
With over 25 years of experience, we bring together expertise and innovation to deliver impactful solutions tailored to each client's needs.
Serge Guzenko
CEO & FOUNDER