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- W2783272986 abstract "Home appliance manufacturing involves a lot of human operations due to variety of products and sizes, and lower cost requirements. Applying traditional inspection solutions to home appliances faces three challenging issues: 1)hard to handle different sizes of objects from big refrigerators to small kettles with fixed camera setting; 2)heavy engineering and tuning work for different inspection tasks; 3)high cost of stand-alone inspection system. This paper proposes a camera mounted robot solution with self-learning and edge/cloud visual inspection architecture. Firstly the 4 DoF robot arm with novel controlling strategy uses a single camera to handle variety of objects. For different inspection tasks, a machine learning based approach removes the complicated and tedious works for engineering and parameter tuning. Lastly, an edge/cloud computing framework puts limited tasks on cheap edge devices at manufacturing side and reduces the total cost." @default.
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- W2783272986 date "2017-10-01" @default.
- W2783272986 modified "2023-09-27" @default.
- W2783272986 title "Visual inspection system for smart manufacture of home appliances" @default.
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- W2783272986 doi "https://doi.org/10.1109/iris.2017.8250129" @default.
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