CPC H04N 23/61 (2023.01) [G03B 17/56 (2013.01); G06F 18/213 (2023.01); H04N 23/90 (2023.01)] | 18 Claims |
1. A measurement assistance system, comprising:
a measurement platform, having an operation area configured for a to-be-measured object and at least one measurement tool to be placed;
at least one camera, arranged on the measurement platform and configured to obtain a measurement image; and
a server module, electrically connected to the at least one camera and configured to: execute a measurement tool identification program, a measurement part identification program, and a measurement posture identification program according to the measurement image through a standard measurement tool appearance model, a standard measurement part model, and a standard measurement posture model, obtain a measurement tool appearance image corresponding to the at least one measurement tool, a measurement part image of the to-be-measured object, and a measurement posture image of a measurer, and determine whether the measurement tool appearance image, the measurement part image, and the measurement posture image are correct, wherein
the server module has a processing unit, and when the measurement tool appearance image, the measurement part image, and the measurement posture image are all correct, a measurement result is generated according to measurement data; and
the standard measurement tool appearance model, the standard measurement part model, and the standard measurement posture model are trained through a pre-built deep learning neural network framework, wherein the deep learning neural network framework comprises a TensorFlow object detection algorithm, a Hu Moment algorithm, a TensorFlow CNN algorithm, and a MediaPipe Hand algorithm.
|