IoT-Driven Worksite Safety and Real-Time Intrusion Detection

This North American leader in building materials employs over 90,000 people across 4,000 worksites in 37 countries. They provide mission-critical construction and paving services to all segments of the global building industry.

Mobile road construction crews faced constant danger from motorists and heavy machinery due to:

• Lack of continuous, real-time monitoring of personnel and asset locations.
• Delayed or ineffective warnings when vehicles intruded into active mobile work zones.
• Inefficient tracking of equipment trajectory and proximity in high-traffic areas.
• Difficulty managing and upgrading software across a nationwide fleet of safety devices.

We engineered an intelligent safety solution that captures real-time data via a suite of radar sensors and broadcasts instant alerts to employees. The architecture leverages AWS microservices to provide a scalable cloud database, ensuring secure and fast access to safety logs. Using Data Modeling, we remapped existing data to implement a hierarchical access control mechanism tailored to the client's global organizational structure.

Key innovations include:

• Trajectory Tracking: Real-time monitoring of vehicle speed, proximity, and trajectory to predict potential worksite collisions.
• Multimodal Alerts: Integrated geofencing with audio-visual and haptic feedback systems for immediate worker notification.
• Hybrid Storage: Critical sensor data is stored locally to prevent loss before being synchronized with AWS S3 and RDS.

• BLE Integration: Seamless communication between iOS/Android base station apps and radar hardware via Bluetooth Low Energy.
• Serverless Processing: AWS Lambda-driven execution for scalable, cost-effective data transformation and event handling.
• Industrial UI/UX: Mobile interfaces designed with large tappable areas and high-contrast themes for gloved use in varying light conditions.
• Advanced Analytics: Integrated Highcharts dashboards for in-depth alert rating, classification, and safety performance reporting.

The project followed a strict Test-Driven Development (TDD) approach using NUnit and Mocha/Chai to ensure the smart contracts and APIs were bug-free before deployment. By decoupling the manufacturer and distributor services, the solution remains tech-agnostic, allowing any distributor to join the network regardless of their internal IT stack.

• Zero Life-Safety Incidents: Successfully prevented potential accidents relating to personnel or equipment over 12 months.
• Significant Cost Savings: Achieved a 12% reduction in insurance premiums and eliminated costs associated with worksite stoppages.
• Operational Agility: Realized a 15% boost in efficiency by automating the setup and monitoring of mobile safety zones.
• Enhanced Compliance: Provided a permanent, archivable data history in AWS to satisfy long-term safety auditing and reporting requirements.