The Solution For Optimized Roadways

iNET Asset Guardian is a full lifecycle asset management system, integrated into Parsons’ iNET^® Smart Mobility Platform, designed to streamline roadway maintenance and operations. By combining real-time data from IoT sensors, cameras, connected vehicles, and mobile devices into iNET’s single-pane-of-glass, this powerful tool leverages AI and GIS spatial technology to accurately evaluate infrastructure conditions and pinpoint defects along the right-of-way with precision.

The platform supports configurable inventory and asset tracking, automated work order generation, and proactive condition assessments to enhance operational efficiency. With a GIS mapping interface powered by Azure Base Maps, users can easily visualize and manage roadway data. Rich reporting capabilities allow exports to common formats such as PDF, Excel, and CSV, enabling seamless data sharing and compliance tracking.

Road Condition And Asset Monitoring

Real-time inspection using vehicle-mounted cameras and OEM sensors
AI-driven detection of surface defects, like potholes and cracks
Integrates with multiple data sources (cameras, connected vehicles, lidar)
Compliant with all privacy regulations

Asset Identification And Inventory

Identification of roadway assets utilizing AI and patented computer vision technology
Asset images and locations are categorized, cataloged, and securely stored
Real-time inspection and reporting of asset conditions

Situational Awareness And Work Order Management

Automated work order generation for rapid response and proactive preventive maintenance
Real-time visibility on traffic patterns, environmental factors, and asset conditions
Rich GIS mapping of roadway assets
Comprehensive performance reporting and KPI tracking

Real-Time Collection

Employs IoT sensors and mobile devices for continuous monitoring
Monitors road conditions, traffic patterns, and environmental factors in real time to provide instant, accurate data for improved decision-making
Enables quick identification and resolution of issues to enhance safety and efficiency in transportation systems

Automated Condition Assessment

Utilizes machine learning algorithms for precise data analysis
Automatically detects and categorizes road defects by severity
Reduces manual inspection time and increases accuracy in defect identification
Supports proactive maintenance planning for improved infrastructure management

Privacy Protection

Redacts personal identifying information to protect individual privacy and minimize risk of data breaches
Builds public trust through enhanced privacy regulation compliance and data security

Geospatial Mapping

Integrates with GIS systems for detailed mapping of road networks and assets
Provides visual representation of road conditions and asset locations
Enhances planning, analysis, and resource allocation through improved data visualization