WEBINAR

Deploying Cameras and Smart Cameras in Machine Vision

Learn how lighting, environment, data flow, and compute placement influence camera selection in machine vision systems. The event offers practical insights for product teams and system integrators to ensure reliable, scalable, and cost-effective deployments. Register now!
April 22, 2026
6:00 PM UTC

Choosing the right imaging approach is critical when building machine vision systems. In this session, we will explore the practical differences between traditional industrial cameras and smart cameras, focusing on real-world deployment scenarios.

The insider event will cover:

  • System architecture considerations
  • Processing requirements
  • Latency
  • Scalability
  • Integration complexity

These topics will be discussed across different use cases such as inspection, automation, and edge AI. We will also highlight how factors like lighting, environment, data flow, and compute placement influence the decision.

Through examples and engineering insights, the session will help product teams and system integrators understand how to select the right camera strategy to achieve reliable performance, faster deployment, and optimal cost for their specific application.

Join us to learn more about when you should opt for an industrial machine vision camera and when should you use a smart camera.

Speaker:

Rutvij Trivedi

Rutvij Trivedi

Co-Founder and Director

Silicon Signals, Pvt. Ltd

Rutvij Trivedi is co-founder and director at Silicon Signals, Pvt. Ltd. He is an embedded systems architect with more than 20 years of expertise in embedded product engineering and system development. Trivedi has led Fortune 500 programs across multiple industries and contributed upstream to the Linux kernel and Zephyr OS multimedia projects. 

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