Please use this identifier to cite or link to this item:
https://ipweaq.intersearch.com.au/ipweaqjspui/handle/1/8385
Type: | Audio Visual Recording |
Title: | Leigh Carnall Director Civiltech Solutions AI and Robotics in mapping your roads. |
Authors: | Carnall, Leigh |
Tags: | AI Asset management |
Issue Date: | 2024 |
Copyright year: | 2024 |
Publisher: | Institute of Public Works Engineering Australasia Queensland & Northern Territory |
Abstract: | Securing adequate funding for road maintenance presents a significant challenge for local governments, often hindered by limited data and subjective assessments. Accurate, real-time data on the state of road networks is essential to successful road management and funding. The Cyvl.ai platform emerges as a pivotal solution, employing robotics and Artificial Intelligence technologies to revolutionize how road data is collected, analyzed, and utilized. The Cyvl.ai Platform: Unleashing Road Network Intelligence Cyvl.ai provides an unparalleled suite of features for road network analysis, including AI-powered mapping, pavement condition assessments, and comprehensive street-level imagery. The platform offers granular insights and visualizations of road infrastructure, thanks to its capabilities in 360 Streetview imagery and 3D LiDAR scans, making it invaluable for urban analysis and planning. By identifying critical maintenance and improvement needs, Cyvl.ai supports proactive infrastructure management, ensuring timely interventions. Empowering Councils for Funding Success Enhanced road network knowledge positions councils to craft compelling, data-backed funding applications, significantly improving their chances of success. The platform's detailed assessments of road condition and performance facilitate a robust evaluation process, supporting informed, strategic decision-making. Leveraging data-driven insights, councils can present a strong case for road maintenance funding, ensuring investments are both necessary and judicious. Maximizing Road Maintenance Investments With Civiltech Solutions, councils can prioritize maintenance projects with precision, ensuring critical interventions receive timely attention. The power of predictive analytics and modeling guides the optimal allocation of resources, foreseeing future road network needs. Strategic maintenance planning, underpinned by accurate and actionable data, promises not just cost savings but also long-term infrastructure resilience. The implementation of the Cyvl.ai platform heralds a new era in local government road network management, offering a myriad of benefits from enhanced data accuracy to strategic maintenance planning. Embracing Cyvl.ai technology signifies a commitment to funding success and smart road maintenance investments, driving positive outcomes for communities. |
URI: | https://ipweaq.intersearch.com.au/ipweaqjspui/handle/1/8385 |
Appears in Collections: | 2024 Annual Conference Brisbane - Audiovisual Presentations |
Files in This Item:
File | Description | Size | Format | |
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Potholes-and-pitfalls-How-to-fix-local-roads-Briefing-pack-1.pdf | 394.71 kB | Adobe PDF | View/Open | |
Potholes-and-Pitfalls-How-to-fix-local-roads-Grattan-Report.pdf | 6.91 MB | Adobe PDF | View/Open | |
Session 8 final.mp4 | 1.17 GB | Unknown | View/Open |
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