Infrastructure Monitoring and Asset Management
We specialise in providing actionable strategy to our clients for public infrastructure monitoring and assets management.
We have multi-disciplinary engineering teams and our core expertise come from the fusion of artificial intelligence (AI), Deep learning, generative AI, Civil Engineering and Transportation Engineering.
Our advanced AI-powered solutions cater to various aspects, including pavement condition monitoring, bridges, encroachment, and road utilities. Here’s how we differentiate ourselves and bring value to our clients:
Pavement Condition Monitoring: Our AI-driven systems employ state-of-the-art algorithms and machine learning techniques to assess and analyze pavement conditions. By processing data from various sources such as sensors, images, and historical records, we provide accurate and detailed insights on pavement deterioration, distresses, and maintenance needs. This proactive approach allows our clients to prioritize repairs, optimize maintenance schedules, and extend the lifespan of their road networks.
Bridge Monitoring: Our AI solutions offer comprehensive monitoring and analysis of bridge conditions. By integrating data from various sensors, including strain gauges, accelerometers, and temperature sensors, we detect structural anomalies, monitor load-bearing capacities, and provide early warnings for potential issues. This helps our clients ensure the safety and longevity of their bridges, optimize inspection schedules, and effectively allocate maintenance resources.
Encroachment Detection: Our AI algorithms enable efficient detection of encroachments on public infrastructure, such as unauthorized construction or vegetation growth. By analyzing aerial imagery and LiDAR data, we accurately identify encroachments and provide actionable insights to regulatory authorities. This helps our clients maintain the integrity and functionality of their infrastructure, ensuring compliance with regulations and minimizing risks associated with encroachments.
Road Utilities Monitoring: Leveraging AI, we offer advanced monitoring solutions for road utilities such as underground pipes, cables, and drainage systems. Our systems analyze geospatial data, including satellite imagery and ground-penetrating radar, to identify potential issues such as leaks, blockages, or deteriorating infrastructure. By detecting and addressing these issues early on, we assist our clients in optimizing maintenance activities, minimizing disruptions, and ensuring the reliability of their utility networks.
What Sets Us Apart
- Cutting-Edge AI Technology: We stay at the forefront of AI research and development, continually refining our algorithms and models to deliver accurate and reliable results. Our commitment to innovation enables us to provide our clients with the most advanced solutions for infrastructure condition monitoring
- Customization and Scalability: We understand that each client’s infrastructure monitoring needs are unique. Our solutions are highly customizable, tailored to specific requirements and infrastructure types. Additionally, our systems are designed to scale, accommodating the growing needs and expanding networks of our clients.
- Actionable Insights and Predictive Analytics: We go beyond data collection and analysis. Our AI solutions provide actionable insights, highlighting maintenance priorities, predicting potential failures, and optimizing resource allocation. This empowers our clients to make informed decisions, implement preventive measures, and maximize the value of their infrastructure investments.
- Seamless Integration: We prioritize usability and integration capabilities. Our solutions seamlessly integrate with existing monitoring systems and platforms, ensuring a smooth transition and minimal disruption.
Strategy for Infrastructure Monitoring and Assets Management
- Condition monitoring data of road network through the AIRLOOP AI powered PCI calculation module
- Data-driven classification of road segments on the basis of multimodal data sets including IRI, FWD and Traffic data
- Development of road serviceability lifecycle strategy
- Adoption of data-driven maintenance planning
- Capacity building of clients and development of specialized management units
- Roads identified by Client Department/ Ministry for serviceability.
- Airloop team conducts GIS Mapping and Field Surveys through Airloop Drones