Abstract: An automatic robotic arm system and a coordinating method for robotic arm and computer vision thereof are disclosed. A beam-splitting mirror splits an incident light into a visible light and a ranging light and respectively guides to an image capturing device and an optical ranging device arranged in the different reference axes. In a calibration mode, a transformation relation is computed based on a plurality of the calibration postures and corresponding calibration images. In an operation mode, a mechanical space coordinate is determined based on an operation image and the transformation relation, and the robotic arm is controlled to move based on the mechanical space coordinate.

Abstract: Example implementations relate to audio samples to detect device anomalies. For example, computing device, comprising: a processing resource and a non-transitory computer readable medium storing instructions executable by the processing resource to: generate a matrix of audio information for a plurality of audio samples of a device, select audio information from one of the plurality of audio samples, generate a plurality of principal components for the selected audio information utilizing a principal component expansion, select a principal component from the plurality of principal components based on a quantity of variance, and detect an anomaly of the device based on a comparison between a real time audio sample of the device and the selected principal component.