Success case

Automated Pizza Making System with Consistent High-Quality Food Processing and Intelligent Guidance

Hardware: NVIDIA Jetson Nano Developer Kit, NVIDIA Jetson Orin Nano Developer Kit Use Case Provider:

Automated Pizza Making System with Consistent High-Quality Food Processing and Intelligent Guidance
Industry
Retail & Consumer Services
Region
韩印新·门店应用
Application
Pizza making and store operations

Project background and needs

GOPIZZA is automating its pizza production line in South Korea, India, and Singapore, using vision analytics and robots to reduce on-site manual monitoring and improve consistency in topping, baking, and finished product quality.

On-site monitoring labor

  • Employees monitor progress near the oven and make operational adjustments.
  • Food production faces labor cost pressure.

Needs to reduce continuous manual monitoring during production.

Training and consistency

  • Employees need to learn ingredient placement, cutting, and sauce combinations.
  • Even after training, final product quality still varies and lacks consistency.

Needs standardized guidance at the point of operation.

Solution and architecture

Cloud operations

GOVIS digitizes store data for guided operation and control.

Vision and robotics

Jetson Nano edge devices identify topping combinations, and the Gobot collaborative robot uses vision data; Jetson Orin Nano is still in testing.

Solution components

See the solution in action

On-site gallery (2)

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