Proactive Infrastructure Management

Shaun Coghlan

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In the rapidly advancing world of technology, artificial intelligence (AI) cameras are revolutionising the way infrastructure is managed. By harnessing the power of AI, these cameras can detect and analyse various aspects of infrastructure, providing valuable insights and proactive solutions. One such advanced solution is PolyVision, a cutting-edge AI camera system developed by our business, which is transforming infrastructure management across different sectors, including roads, rail, and powerlines.

Change Detection

Change detection is a critical aspect of infrastructure management, and PolyVision excels in this area. These AI cameras possess the ability to identify changes in the conditions of objects, whether they are in the process of being produced or fixed infrastructure components. For instance, in the case of railway lines or power lines, PolyVision can automatically detect anomalies and faults. By comparing current data with the established norms, the system can alert maintenance teams to potential issues before they escalate, ensuring timely intervention and minimising disruptions.

Crack Detection

Crack detection is another area where PolyVision's capabilities shine. The system can accurately identify cracks in various materials, such as concrete, pipes, and other infrastructure elements. This functionality is particularly crucial in maintaining the structural integrity of buildings, roads, and bridges. By detecting cracks early on, PolyVision enables engineers and maintenance crews to address the problem promptly, preventing further damage and enhancing overall safety.

Site Management

Site management is an integral part of infrastructure projects, and PolyVision has proven its effectiveness in this realm. In 2019, the Lynkz team conducted successful trials of a Site Management "Use Case" on the Sunshine Coast. These trials demonstrated how PolyVision can assist with the management of vehicles entering and leaving construction sites. By leveraging its powerful AI capabilities, the system can accurately identify and track different types of vehicles, including concrete, water, fuel trucks, as well as project-specific vehicles. It records essential details such as license plates, entry and departure timestamps, and the duration of the vehicle's visit. This comprehensive site management solution enhances efficiency, accountability, and security in construction operations.

PolyVision's impact extends beyond individual use cases; it offers a holistic approach to infrastructure management. Whether it's roads, rail lines, or powerlines, PolyVision can determine the state of the infrastructure and report on it before issues arise. The AI model embedded in PolyVision can identify various elements, such as potholes, roadside signs, surface types, and line markings. This comprehensive analysis provides detailed reporting to customers, allowing them to make informed decisions about maintenance and repairs, ultimately leading to optimised infrastructure performance.

By incorporating PolyVision into infrastructure management practices, businesses can benefit from proactive maintenance, enhanced safety, and improved operational efficiency. The power of AI cameras, combined with sophisticated analytics and reporting, enables stakeholders to make data-driven decisions, allocate resources effectively, and minimise costly disruptions.

In conclusion, AI cameras like PolyVision are transforming the landscape of infrastructure management. With their ability to detect changes, identify cracks, and streamline site management processes, these cameras offer a range of benefits for businesses and organisations operating in the infrastructure sector. By embracing AI technology, companies can ensure the longevity, safety, and efficiency of their infrastructure, paving the way for a smarter and more sustainable future.