Lidar defect detection system and method for use in can manufacturing assemblies
AssigneeStolle Machinery Company, LLC
InventorSayon Chandrakanthan
Life of this patent
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Abstract
A LiDAR (Light Detection and Ranging) detection system for use in a can manufacturing assembly. The LiDAR defect detection system includes a plurality of LiDAR sensors disposed at outputs of one or more equipment in the can manufacturing assembly and structured to scan and create at least three-dimensional (3D) images of output cans at the outputs of the one or more equipment; and a controller communicatively coupled to the LiDAR sensors and structured to collect data including at least the 3D images and analyze the data to determine if one or more output cans are defective.
Claims20
A LiDAR (Light Detection and Ranging) defect detection system for use in a can manufacturing assembly, comprising:
- a plurality of LiDAR sensors disposed at least at outputs of one or more equipment in the can manufacturing assembly and structured to scan and create at least three-dimensional (3D) images of output cans at the outputs of the one or more equipment;
- and
- a controller communicatively coupled to the LiDAR sensors and structured to collect data including at least the 3D images and analyze the data to determine if one or more output cans are defective.
A LiDAR (Light Detection and Ranging) defect detection system for use in a can decorator, comprising:
- one or more LiDAR sensors disposed adjacent to or within a component of the can decorator, the one or more LiDAR structured to scan and create at least three-dimensional (3D) images of cans passing through an inspection window of the one or more LiDAR sensors;
- and
- a controller communicatively coupled to the one or more LiDAR sensors and structured to collect data including at least the 3D images and analyze the data to determine if one or more cans are defective.
A method of detecting a defect in cans in a can manufacturing assembly, comprising:
- providing a LiDAR (Light Detection and Ranging) defect detection system that comprises (i) LiDAR sensors disposed at least at outputs of one or more equipment in the can manufacturing assembly and structured to scan and create at least three-dimensional (3D) images of output cans at the outputs of the one or more equipment, and (ii) a controller communicatively coupled to the LiDAR sensors and structured to collect data including at least the 3D images and analyze the data to determine if one or more output cans are defective;
- scanning and creating at least the 3D images;
- transmitting the data including at least the 3D images to the controller;
- and
- analyzing the data received to determine if one or more output cans are defective.
Dependencies are inferred from the claim text.