Smart equipment detector
SOURCE Citation
Mahmoud, El Sayed and Sneyd, Ryan, "Smart equipment detector" (2018). Generator at Sheridan. 34.
https://source.sheridancollege.ca/conferences_creates/2018/2018/34
Location
Sheridan College, Davis Campus, Session C: Room H106
Start Date
24-10-2018 1:00 PM
End Date
24-10-2018 2:00 PM
Description
This smart equipment project investigates how to combine multiple machine-learning models for creating a system that automatically identifies unlabeled restaurant equipment. It’s challenging to find durable labels that can withstand frequent equipment washing and heating up. The project developed guidelines and a platform for identifying more than 10,000 pieces of restaurant equipment based on their photos.
Smart equipment detector
Sheridan College, Davis Campus, Session C: Room H106
This smart equipment project investigates how to combine multiple machine-learning models for creating a system that automatically identifies unlabeled restaurant equipment. It’s challenging to find durable labels that can withstand frequent equipment washing and heating up. The project developed guidelines and a platform for identifying more than 10,000 pieces of restaurant equipment based on their photos.