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:
- 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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