RTN Town Halls:
Where Restaurants and Tech Meet. No Slides, Just Solutions. 1 Hour.

4.29.2026 | 1 p.m. ET

The Computer Vision Revolution
 Transforming Video Data into Actionable Intelligence

 

The Vision

For years, cameras in restaurants have functioned as passive systems, capturing footage for security and compliance. That model is changing.

With the advancement of Computer Vision and Physical AI, video is becoming a structured, interoperable data source that can feed directly into the broader restaurant technology ecosystem.

This shift transforms cameras from isolated hardware into a core component of the operational data layer, powering real-time insights across labor, throughput, guest experience, and food safety.

What We’ll Cover

We dive into how Computer Vision is revolutionizing the three pillars of restaurant operations:

• The Drive-Thru: Using camera data to predict bottleneck triggers, identify vehicle makes/models for personalized loyalty, and shave seconds off Total Experience (TX) times.
   

• Front of House: Real-time monitoring of table turns, queue lengths, and "Physical AI" deployments that ensure guests are greeted and serviced without friction.
   

• Back of House: Automating line-check accuracy, monitoring protein waste, and ensuring safety protocols are met without constant manual oversight.

We will explore how to "slow the conversation to speed implementation," ensuring your tech stack is relevant to your specific operational needs.