Interview with Leigh Carnall, Paul Clyne and Daniel Pelaez

In this episode of Infrastructure Matters, we feature discussions from the Melbourne International Public Works Conference 2024. Join us as we delve into infrastructure management with special guests Paul Clyne and Leigh Carnall from Civiltech Solutions, and Daniel Pelaez, CEO and Founder of Cyvl.ai. They discuss groundbreaking technologies that are transforming the management and maintenance of public infrastructure. Discover how 3D laser scanning, lidar sensors, and panoramic cameras are revolutionizing road inspections and asset management. Learn about the challenges and successes of implementing these technologies in both the US and Australia, and gain insights on the future of infrastructure management with a focus on automation and data integration. Don’t miss this insightful conversation on leveraging technology to enhance efficiency and optimize budgets in public works.

Topics Covered in This Episode:

• Introduction of the speakers from Civiltech Solutions and Cyvl.ai, and their expertise in civil engineering and infrastructure technologies.
• Significance of the International Public Works Conference 2024 in Melbourne and its focus on infrastructure and technology.
• Impact of new technologies on the efficiency and management of infrastructure assets, particularly the use of AI and robotics.
• Explanation of Cyvl.ai's technology, including 3D laser scanning, lidar sensors, and panoramic cameras for digitizing and inspecting roadways.
• How collected data is processed and used to create informed reports for government and engineering firms, emphasizing regular and frequent data collection.
• Overview of Cyvl.ai's success in the US market, including adoption strategies and the role of forward-thinking consulting firms.
• Reasons for choosing Australia as a new market, including similarities in infrastructure and strong advocacy from local partners.
• Interest and uptake of the technology in regional and rural councils in Australia, highlighting varying levels of asset management maturity.
• Predictions on the evolution of technology and data collection, with sensors becoming more affordable and integrated into everyday vehicles.
• Emphasis on the value of algorithms and software in processing data, and Cyvl.ai's business model of providing hardware for free and charging for data processing.

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