Method and system for visual based inspection of rotating objects
AssigneeAgency for Science, Technology and Research
InventorsWei XIONG, Wenyu CHEN, Jierong CHENG, Jia DU
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Abstract
This disclosure relates to method and system for visual inspection of rotating components. The method includes representing rotation cycles of a rotating component as spatial features based on video or image frames, ascertaining and/or evolving Hidden Markov Model (HMM) chains for the cycles, ascertaining a count of the rotating component in the frames and/or labelling the frames with ascertained states of the HMM chains.
Claims18
A method for visual inspection of rotating components, the method comprising:
- based on an initial subset of a plurality of observed image frames, which represents an initial rotation cycle of a rotating component, ascertaining an initial closed curve as spatial feature to represent the initial rotation cycle;
- ascertaining an initial Hidden Markov Model (HMM) chain, including a plurality of initial states located on equal curve length of the initial closed curve, for the initial set of the frames;
- for each subsequent subset of the frames, which represents each subsequent rotation cycle of the rotating component, ascertaining a subsequent HMM chain, including a plurality of subsequent states located on equal curve length of a subsequent closed curve as spatial feature, which represents the subsequent rotation cycle of the rotating component;
- and
- based on the initial HMM chain and the subsequent HMM chain of each subsequent subset of the frames, ascertaining a count of the rotating component in the frames, and/or labelling the frames with the initial states or the subsequent states.
A system for visual inspection of rotating components, the system comprising:
- a memory device storing a plurality of observed image frames;
- and
- a computing processor communicably coupled to the memory device and configured to:
- based on an initial subset of the frames, which represents an initial rotation cycle of a rotating component, ascertain an initial closed curve as spatial features to represent the initial rotation cycle;
- ascertain an initial Hidden Markov Model (HMM) chain, including a plurality of initial states located on equal curve length of the initial closed curve, for the initial set of the frames;
- for each subsequent subset of the frames, which represent each subsequent rotation cycle of the rotating component, ascertain a subsequent HMM chain, including a plurality of subsequent states located on equal curve length of a subsequent closed curve in spatial feature space, which represents the subsequent rotation cycle of the rotating component;
- and
- based on the initial HMM chain and the subsequent HMM chain of each subsequent subset of the frames, ascertain a count of the rotating component in the frames, and/or labelling the frames with the initial states or the subsequent states.
Dependencies are inferred from the claim text.