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Electronic device and method for artificial intelligence detection

A technology of artificial intelligence and electronic devices, applied in the computer field, can solve problems such as reducing work efficiency, increasing failure rates, increasing HTTP interface service delays, etc.

Pending Publication Date: 2020-10-27
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, AI algorithms are different from ordinary algorithms. Generally, AI algorithms rely on their own models and initialization configuration files. This makes each time an AI algorithm is run, there will be a long initialization phase for the AI ​​model and configuration. Loaded on the GPU computing device, this makes it necessary to re-execute the initialization work every time an HTTP request is received, thereby increasing the service delay of the HTTP interface, reducing work efficiency, and increasing the failure rate

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  • Electronic device and method for artificial intelligence detection
  • Electronic device and method for artificial intelligence detection
  • Electronic device and method for artificial intelligence detection

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Embodiment Construction

[0040]In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0041] Those skilled in the art can understand that, unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meanings as commonly understood by those of ordinary skill in the art to which this application belongs. It should also be understood that terms, such as those defined in commonly used dictionaries, should be understood to have me...

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Abstract

The invention discloses an electronic device and method for realizing artificial intelligence detection. The device comprises a processor used for controlling components in the device; the backgroundcomponent is used for initializing an interactive interface after being started, initializing an artificial intelligence detection model and generating a plurality of artificial intelligence detectioninstances provided with mutual exclusion locks; when the interactive interface receives a calling request instruction from the foreground component, in response to the calling request instruction, the state of the mutual exclusion lock is obtained, and whether the artificial intelligence detection instance is currently available or not is judged; if so, the artificial intelligence detection instance is accessed through the interaction interface; and the artificial intelligence detection instance performs operation and feeds back an operation result to the foreground component through the interaction interface. The device can realize a sequential calling arrangement mechanism of the artificial intelligence detection instances, can ensure that the plurality of interactive interfaces orderlycall the artificial intelligence detection instances in sequence, and solves the problem of resource competition when the plurality of interactive interfaces call the same artificial intelligence detection instance at the same time.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to an electronic device and method for realizing artificial intelligence detection. Background technique [0002] At present, AI (artificial intelligence) algorithms have been widely used in image recognition, speech recognition, text analysis, search engine ranking, recommendation system ranking and so on. With the emergence and popularity of various deep learning frameworks, more and more companies now choose to gradually apply and engineer their own AI algorithms. However, different deep learning frameworks use different methods. For example, Google’s open source TensorFlow comes with its own TFServer component, while PyTorch, MXNET and other frameworks are more for algorithm researchers to carry out research and development work, so that if you want to engineer some AI applications, you have to consider many compatibility factors. The most common application and eng...

Claims

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Application Information

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IPC IPC(8): G06F9/54G06F9/52
CPCG06F9/52G06F9/54
Inventor 崔凯刘莉红刘玉宇
Owner PING AN TECH (SHENZHEN) CO LTD
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