Object Identification Using Time-of-Flight Depth Camera and Data Fusion
Identification
Sensor Fusion
DOI:
10.1364/cleo_at.2022.jw3b.173
Publication Date:
2022-09-13T17:20:27Z
AUTHORS (8)
ABSTRACT
We demonstrate an approach of object identification using a ToF depth camera. Six objects with different materials are recognized data fusion and machine learning methods. A 98.01% accuracy is achieved by KNN algorithm.
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