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Specific action detection method for intelligent experiment evaluation

A technology for motion detection and experimentation, applied in instruments, calculations, character and pattern recognition, etc., can solve problems such as huge manpower and material resources, high cost, huge amount of video labeling, etc., to reduce labor costs and improve robustness Effect

Pending Publication Date: 2022-07-12
上海锡鼎智能科技有限公司
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Problems solved by technology

This scheme is based on the scheme of deep learning video classification model. Although the accuracy has been significantly improved compared with scheme (1), it requires a huge amount of video labeling, and video labeling also requires huge manpower and material resources. It is obviously not worthwhile to spend a lot of money

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Embodiment Construction

[0021] The specific motion detection method for intelligent experiment evaluation of the present invention will be described in more detail below with reference to the schematic diagrams, which represent the preferred embodiments of the present invention. It should be understood that those skilled in the art can modify the present invention described herein, and still The advantageous effects of the present invention are achieved. Therefore, the following description should be construed as widely known to those skilled in the art and not as a limitation of the present invention.

[0022] The invention is described in more detail by way of example in the following paragraphs with reference to the accompanying drawings. The advantages and features of the present invention will become apparent from the following description and claims. It should be noted that, the accompanying drawings are all in a very simplified form and in inaccurate scales, and are only used to facilitate an...

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Abstract

The invention discloses a specific action detection method for intelligent experiment evaluation. The specific action detection method comprises the following steps: acquiring an operation video of a related experiment by using a camera; fusing continuous n frames of images of the operation video through a motion historical image method, and expressing a target motion condition in an image brightness form to obtain a fused picture; carrying out target detection labeling on the fused picture, and dividing a data set into a training set, a verification set and a test set; the data set is sent to a pre-training model for training, and a target detection model is obtained; and performing action detection on the fused picture of the related experimental operation video by using the target detection model, and evaluating a related score. According to the method, the robustness of intelligent experiment evaluation can be greatly improved, in addition, a video classification task is converted into a target detection task, and the labeling cost is greatly reduced.

Description

technical field [0001] The invention relates to the field of AI intelligent evaluation, in particular to a specific action detection method for intelligent experiment evaluation. Background technique [0002] With the rise of deep learning, computer vision technology has been continuously developed, especially the object detection technology represented by target detection and instance segmentation, which has a good implementation plan in all walks of life, and is widely used in intelligent evaluation systems. For the detection of actions such as shaking the test tube and stirring with a glass rod, the following schemes are mostly used: [0003] (1) The difference frame method performs motion detection, determines the area where there is a moving object, and then determines whether the relevant object is in the above-mentioned moving area through target detection. This scheme mainly relies on motion detection in traditional image algorithms, which is easily affected by illu...

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Application Information

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IPC IPC(8): G06V40/20G06K9/62G06V10/25G06V10/774G06V10/80
CPCG06F18/214G06F18/25
Inventor 刘凯李丽刘利非
Owner 上海锡鼎智能科技有限公司
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