On-demand webinar Improving Safety and Quality With Computer Vision: Demo & Discussion
By Insight Editor / 21 May 2021 / Topics: Artificial Intelligence (AI) Analytics
Join Insight experts for an analysis of some of the most powerful ways computer vision is being used to improve quality, safety and efficiency in manufacturing. You’ll get a behind-the-scenes look at the hardware, software, cloud and intelligent edge architecture needed to support a computer vision solution — and see how these components come together in a scale model demo of a production line. You’ll also learn strategies for building a roadmap to successful implementation.
What we’ll cover:
- An intro to computer vision technology and trends
- Real-world use cases in manufacturing
- A scale model demo of computer vision
- Considerations and tips for getting started
Presented by:
Amol Ajgaonkar
CTO, Product Innovation, Insight
Amol draws upon two decades of experience to drive thought leadership and strategy for outcomes-focused solutions. He is a technology leader with a passion for operationalizing Intellectual Property (IP) and fostering innovation to create customer-focused offerings and accelerators. His expertise lies in transforming innovative ideas into practical solutions, aligning them with customer needs and optimizing their implementation within the company. Amol excels in orchestrating cross-functional teams, fostering collaboration and building strategic partnerships to deliver results.
Ilya Eliashevsky
Product Manager for Digital Innovation, Insight
Ilya has more than 20 years of cross-platform software experience focusing on iOS, Android & BlackBerry mobile development with Windows, Mac, web, Azure and AWS components. He’s passionate about working with talented teams to define, prioritize, drive, build and sell products that millions of end-users and corporations rely upon daily to increase their productivity and mobility.
Noah Santorello
Cloud Portfolio Lead, Insight
Noah has 13 years of experience architecting and building software systems for cloud and mobile platforms. He previously founded a Google Cloud-focused services company which was one of the first partners globally to attain a GCP specialization in application development. He is dedicated to expanding his knowledge of cloud platforms and is excited by new possibilities in IoT and edge.
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