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Manufacturing Part Identification Using Computer Vision And Machine Learning

机译:使用计算机视觉和机器学习识别制造零件

摘要

Systems, methods, and devices for object detection, including manufacturing part detection, are disclosed. A method for identifying a manufacturing part includes receiving an image comprising a manufacturing part from an augmented reality device and determining a bounding perimeter encapsulating the manufacturing part. The method includes receiving a prediction label and a confidence value for the manufacturing part from a neural network. The method includes generating a message comprising the image, the prediction label, and the confidence value, and providing the message to the augmented reality device.
机译:公开了用于物体检测(包括制造零件检测)的系统,方法和设备。一种用于识别制造零件的方法,该方法包括:从增强现实设备接收包括制造零件的图像,并确定封装该制造零件的包围周边。该方法包括从神经网络接收制造零件的预测标签和置信度值。该方法包括生成包括图像,预测标签和置信度值的消息,并将该消息提供给增强现实设备。

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