Efficient and stable atomic absorption spectrometer for food detection and control method thereof
A technology of food detection and atomic absorption, applied in the direction of electrical program control, neural learning method, color/spectral characteristic measurement, etc., can solve the problems of inaccurate food quality judgment, food safety warning, etc., and achieve comprehensive food quality judgment analysis, Improve the utilization rate of information and ensure the effect of learning effect
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Embodiment 1
[0085] The control method of the efficient and stable atomic absorption spectrometer for food detection provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as image 3 As shown, the method for extracting the features of the enhanced food spectral image through the feature extraction program provided by the embodiment of the present invention includes:
[0086] S201. Using a feature extraction program through a food feature extraction module to perform network training on the convolutional neural network using a machine learning algorithm to obtain a preset convolutional neural network.
[0087] S202. Obtain similar samples of each image sample in the food spectrum image sample set through a preset convolutional neural network, and perform image transformation on each image sample and its corresponding similar samples.
[0088] S203. Obtain corresponding features of the enhanced processed food spectrum image thr...
Embodiment 2
[0093] The control method of the efficient and stable atomic absorption spectrometer for food detection provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 4 As shown, the method for detecting food through the food detection program according to the acquired food image features provided by the embodiment of the present invention, and generating a detection report includes:
[0094] S301, respectively acquire the static data and dynamic data of the food image features obtained in step 2 by using the food detection program through the food detection module.
[0095] S302, using a weighted similarity algorithm to fuse the static data and dynamic data obtained in the step to obtain a correlation coefficient, thereby testing the quality of the food, and generating a test report.
[0096] The static data provided by the embodiments of the present invention refers to the characterization data obtained by me...
Embodiment 3
[0113] The control method of the efficient and stable atomic absorption spectrometer for food detection provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 5 As shown, the method for early warning notification of food safety abnormal information provided by the embodiment of the present invention through the early warning program includes:
[0114] S401, using the camera equipment to take pictures of the target food detection strip through the early warning module to obtain an image; identifying the image through the early warning program to obtain text information and picture information.
[0115] S402. Obtain the test item type corresponding to the target food test strip according to the text information.
[0116] S403. Obtain the detection value corresponding to the target food test strip according to the image information, and obtain the on-site location information when the target food test stri...
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