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المحتوى المقدم من Avnet Silica. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Avnet Silica أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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Focus on the Edge: How Videam’s Smart Cameras Solve Real-World Problems - We talk IoT #69

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Manage episode 490976962 series 3378840
المحتوى المقدم من Avnet Silica. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Avnet Silica أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

In this episode, we explore the future of computer vision with Tommaso Scuccato and Marco Bergamin from Videam, an Italian startup that brings AI-powered vision systems to the edge.

Videam tackles diverse challenges from ski pass fraud detection to traffic monitoring using custom-built cameras that process AI algorithms locally. Their patented technology avoids facial recognition, instead analysing patterns and features that work even when people wear goggles or face coverings.

Tommaso and Marco discuss their journey from aerospace and automotive engineering to developing polarised sensors that see through windscreen reflections, enabling applications from catching distracted drivers to industrial quality control. We explore why they chose edge processing over cloud solutions and how their partnership with Avnet accelerates hardware development.

Tune in to discover how intelligent cameras transform everyday problems into solved challenges – one frame at a time.

#computervision #ai #edgecomputing #iot #wetalkiot

Summary of this week's episode:

02:15 Meet Videam and the team

03:30 Ski pass fraud detection solution
08:45 Company founding story and patent development

10:20 Aerospace and automotive backgrounds

12:40 Patented algorithm without facial recognition

15:15 Why edge AI beats cloud processing

19:30 Custom camera hardware development

22:45 Polarised sensors and windscreen applications

25:20 Traffic monitoring and industrial use cases

28:10 Backwards compatibility and system integration

29:50 Partnership with Avnet and STM32 development

32:15 Future opportunities in AI vision

34:20 Advice for aspiring developers

35:45 Design considerations for smart cameras

Show notes:

Tommaso Scuccato: https://www.linkedin.com/in/tommaso-scuccato-0029a6118/

Marco Bergamin: https://www.linkedin.com/in/marco-bergamin-82806753/

Videam: https://videam.it/

Listen to the "We Talk IoT "Soundtrack on:

Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4

YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp

About Avnet Silica:

This podcast is brought to you by Avnet Silica—the Engineers of Evolution.

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

  continue reading

73 حلقات

Artwork
iconمشاركة
 
Manage episode 490976962 series 3378840
المحتوى المقدم من Avnet Silica. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Avnet Silica أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

In this episode, we explore the future of computer vision with Tommaso Scuccato and Marco Bergamin from Videam, an Italian startup that brings AI-powered vision systems to the edge.

Videam tackles diverse challenges from ski pass fraud detection to traffic monitoring using custom-built cameras that process AI algorithms locally. Their patented technology avoids facial recognition, instead analysing patterns and features that work even when people wear goggles or face coverings.

Tommaso and Marco discuss their journey from aerospace and automotive engineering to developing polarised sensors that see through windscreen reflections, enabling applications from catching distracted drivers to industrial quality control. We explore why they chose edge processing over cloud solutions and how their partnership with Avnet accelerates hardware development.

Tune in to discover how intelligent cameras transform everyday problems into solved challenges – one frame at a time.

#computervision #ai #edgecomputing #iot #wetalkiot

Summary of this week's episode:

02:15 Meet Videam and the team

03:30 Ski pass fraud detection solution
08:45 Company founding story and patent development

10:20 Aerospace and automotive backgrounds

12:40 Patented algorithm without facial recognition

15:15 Why edge AI beats cloud processing

19:30 Custom camera hardware development

22:45 Polarised sensors and windscreen applications

25:20 Traffic monitoring and industrial use cases

28:10 Backwards compatibility and system integration

29:50 Partnership with Avnet and STM32 development

32:15 Future opportunities in AI vision

34:20 Advice for aspiring developers

35:45 Design considerations for smart cameras

Show notes:

Tommaso Scuccato: https://www.linkedin.com/in/tommaso-scuccato-0029a6118/

Marco Bergamin: https://www.linkedin.com/in/marco-bergamin-82806753/

Videam: https://videam.it/

Listen to the "We Talk IoT "Soundtrack on:

Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4

YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp

About Avnet Silica:

This podcast is brought to you by Avnet Silica—the Engineers of Evolution.

You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.

  continue reading

73 حلقات

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