Artwork

Inhoud geleverd door Rainer Groh – Aerospace Engineer and Researcher and Rainer Groh – Aerospace Engineer. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Rainer Groh – Aerospace Engineer and Researcher and Rainer Groh – Aerospace Engineer of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Player FM - Podcast-app
Ga offline met de app Player FM !

Podcast Ep. #37 – Anomalous is Using AI to Make Inspection More Accurate

28:28
 
Delen
 

Manage episode 260439963 series 1757905
Inhoud geleverd door Rainer Groh – Aerospace Engineer and Researcher and Rainer Groh – Aerospace Engineer. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Rainer Groh – Aerospace Engineer and Researcher and Rainer Groh – Aerospace Engineer of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Euan Wielewski is the co-founder and CEO at Anomalous Technologies, a start-up based in Edinburgh, Scotland using the latest machine learning and artificial intelligence (AI) technologies to enable better quality control of manufactured components. As aerospace engineers we know that quality control and inspection of flight-critical hardware is essential to guarantee safe operation of aircraft. Human visual inspection is a subjective and analogue process, which means that flight hardware is typically double and triple-checked to high levels of accuracy. This is where the AI tools developed by Anomalous Technologies are invaluable. By making inspection digital, operational traceability is immediately enhanced. Furthermore, digitisation allows the human inspection process to be accompanied by statistical tools that reduce the error rate of missed defects and improve inspection efficiency. Anomalous are already working with global aerospace companies such as Rolls Royce and Boeing, and the company is currently a member of the first cohort of the ATI Boeing Accelerator. In this episode of the podcast, Euan and I talk about: his broad background in aerospace engineering the challenges of human inspection in the aerospace industry how data-centric methods such as AI tools can help improve inspection accuracy and efficiency and how Anomalous is using their analytic tools to help out in the current Coronavirus pandemic. This episode of the Aerospace Engineering Podcast is brought to you by my patrons on Patreon. Patreon is a way for me to receive regular donations from listeners whenever I release a new episode, and with the help of these generous donors I have been able to pay for much of the expenses, hosting and travels costs that accrue in the production of this podcast. If you would like to support the podcast as a patron, then head over to my Patreon page. There are multiple levels of support, but anything from $1 an episode is highly appreciated. Thank you for your support! Selected Links from the Episode Anomalous webpage Anomalous wins recognition in Tokyo Anomalous profile in ADVANCE ATI Boeing Accelerator portfolio Boeing press release on ATI Accelerator cohort
  continue reading

50 afleveringen

Artwork
iconDelen
 
Manage episode 260439963 series 1757905
Inhoud geleverd door Rainer Groh – Aerospace Engineer and Researcher and Rainer Groh – Aerospace Engineer. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Rainer Groh – Aerospace Engineer and Researcher and Rainer Groh – Aerospace Engineer of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
Euan Wielewski is the co-founder and CEO at Anomalous Technologies, a start-up based in Edinburgh, Scotland using the latest machine learning and artificial intelligence (AI) technologies to enable better quality control of manufactured components. As aerospace engineers we know that quality control and inspection of flight-critical hardware is essential to guarantee safe operation of aircraft. Human visual inspection is a subjective and analogue process, which means that flight hardware is typically double and triple-checked to high levels of accuracy. This is where the AI tools developed by Anomalous Technologies are invaluable. By making inspection digital, operational traceability is immediately enhanced. Furthermore, digitisation allows the human inspection process to be accompanied by statistical tools that reduce the error rate of missed defects and improve inspection efficiency. Anomalous are already working with global aerospace companies such as Rolls Royce and Boeing, and the company is currently a member of the first cohort of the ATI Boeing Accelerator. In this episode of the podcast, Euan and I talk about: his broad background in aerospace engineering the challenges of human inspection in the aerospace industry how data-centric methods such as AI tools can help improve inspection accuracy and efficiency and how Anomalous is using their analytic tools to help out in the current Coronavirus pandemic. This episode of the Aerospace Engineering Podcast is brought to you by my patrons on Patreon. Patreon is a way for me to receive regular donations from listeners whenever I release a new episode, and with the help of these generous donors I have been able to pay for much of the expenses, hosting and travels costs that accrue in the production of this podcast. If you would like to support the podcast as a patron, then head over to my Patreon page. There are multiple levels of support, but anything from $1 an episode is highly appreciated. Thank you for your support! Selected Links from the Episode Anomalous webpage Anomalous wins recognition in Tokyo Anomalous profile in ADVANCE ATI Boeing Accelerator portfolio Boeing press release on ATI Accelerator cohort
  continue reading

50 afleveringen

Alle afleveringen

×
 
Loading …

Welkom op Player FM!

Player FM scant het web op podcasts van hoge kwaliteit waarvan u nu kunt genieten. Het is de beste podcast-app en werkt op Android, iPhone en internet. Aanmelden om abonnementen op verschillende apparaten te synchroniseren.

 

Korte handleiding