An automobile machine system abnormity identification method and device

Abstract

The embodiment of the invention provides an abnormity identification method and device for an automobile machine system. The method comprises the following steps: acquiring a detection image of a screen in the operation process of an automobile machine system; inputting the detection image into a preset artificial intelligence model, obtaining a classification result of the detection image outputby the artificial intelligence model; wherein the classification result comprises an abnormal image or a normal image; wherein the artificial intelligence model is obtained by training an abnormal sample image; judging whether the automobile machine system is abnormal or not according to the classification result of the detection image; According to the method, automatic monitoring of the operation process of the automobile machine system can be achieved, whether the automobile machine system is abnormal or not in the operation process can be automatically judged, a worker does not need to monitor the operation process of the automobile machine system, the operation process of the worker is simplified, and the testing efficiency is improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of computer application technology, and in particular to a method and device for identifying anomalies in automobile-machine systems. Background technique [0002] With the development of modern automobile industry and electronic technology, in-vehicle electronic products such as vehicle navigation, communication, multimedia audio-visual entertainment can be networked through network technology to form a powerful comprehensive car-machine system. Usually, before the vehicle-mounted electronic product is put into the market, an aging test needs to be carried out to verify the stability and reliability of the hardware and software of the vehicle-machine system where the vehicle-mounted electronic product is installed. [0003] At present, during the aging test, the relevant staff generally monitor whether the vehicle-machine system is running normally during the test process. If any abnormality is ...

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Problems solved by technology

[0004] However, the inventors found that there are at least the following problems in the prior art: it is necessary to manually monitor whether the vehicle-machine system is running normally during the test process, and the test efficiency is low

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