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https://ipweaqbackup.intersearch.com.au/ipweaqjspui/handle/1/7614Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Phillips, John | - |
| dc.date.accessioned | 2022-03-18T04:03:08Z | - |
| dc.date.available | 2022-03-18T04:03:08Z | - |
| dc.date.copyright | 2022 | en_US |
| dc.date.issued | 2022 | - |
| dc.identifier.uri | https://drive.google.com/file/d/1rLNeE2rlbZXB9orIy0zBAYMeqOau24ka/view?usp=sharing | - |
| dc.description.abstract | Continuing from several successful test projects throughout 2020, Interflow is utilising technological advancements in the management of CCTV inspection data. Interflow has leveraged artificial intelligence, automation, and the cloud-storage of data to improve the timing, deliverability of results, and repair recommendations for a number of Utilities and Councils in NSW and ACT. The presentation will focus on providing an overview of the activity addressing the points below. • The specific issue being addressed. o Consistency of review approach o Delivery of results to customers o Increasing the value of past data o Improving the availability and use of future data o Mapping options that are now available with results • Approach developed to address this issue. o Use of artificial intelligence to identify and classify defects. o Move away from the requirement for project managers and engineers to review hours of footage and use targeted frames to complete quality audits and develop repair programs. o Opportunity to hand-over inspection footage, reports and data using an online platform that removes the requirement of bulky local storage • Summary of activities and their implementation. o Presentation to look further into the platform and the outputs that clients receive to make asset management decisions about their pipe networks | en_US |
| dc.publisher | Institute of Public Works Engineering Australasia Queensland | en_US |
| dc.subject | CCTV Technology | en_US |
| dc.title | Technology Advancements in the CCTV Industry using Artificial Intelligence and Automation | en_US |
| dc.type | Audio Visual Recording | en_US |
| Appears in Collections: | CQ 2022 Presentations | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5.4 John Phillips.pdf | 4.68 MB | Adobe PDF | ![]() View/Open |
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