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Living animal monitoring method, equipment and system based on thermal imager

A thermal imager and monitoring equipment technology, which is applied in the field of food safety, can solve problems such as pollution and unattended canteens, and achieve the effects of ensuring correctness, simple installation, and low cost

Active Publication Date: 2019-11-26
数字蓝盾(厦门)信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is: in order to solve the problem that the current canteen is unattended at night, and nocturnal living animals such as cats and mice easily pollute the raw food and meat food stored in the canteen. A live animal monitoring method, device and system based on a thermal imager

Method used

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  • Living animal monitoring method, equipment and system based on thermal imager
  • Living animal monitoring method, equipment and system based on thermal imager
  • Living animal monitoring method, equipment and system based on thermal imager

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Embodiment 1

[0044] Such as figure 1 As shown, the present embodiment provides a live animal monitoring method based on a thermal imager, comprising the following steps:

[0045] S1: In the same time interval, use a thermal imager to collect multiple thermal imaging images in the kitchen, and use Laplacian convolution to pre-screen the thermal imaging images to obtain the optimal image in each time period. include:

[0046] S1.1: Convert the thermal imaging image into a grayscale image, and obtain its grayscale image array;

[0047] S1.2: Use the Laplacian operator to perform convolution operation on the grayscale image array. The Laplacian operator used in this embodiment is {0, 1, 0, 1, -4, 1, 0, 1,0};

[0048] S1.3: Calculate the variance according to the result of the convolution operation in S1.2, compare the variance of multiple grayscale image arrays, select the thermal imaging image corresponding to the grayscale image array with the largest variance as the optimal image, and co...

Embodiment 2

[0069] This embodiment is further optimized on the basis of Embodiment 1, specifically: the monitoring method also includes supplementary evidence by judging the moving distance of the object in the thermal imaging image, specifically:

[0070] After feature extraction, mark the geometric center position of the object in the pre-processed image, and compare the geometric center positions in the consecutive N pre-processed images. Usually, three images are selected. If the moving distance of the geometric center exceeds a threshold such as 50cm, then judge There are moving live animals in the thermal imaging image, the calculation of the moving distance is: calibration of the size of the thermal imaging image and the actual scene, to obtain the ratio value Scale, according to the calculation formula: distance=N*Scale to calculate the moving distance, where N is The number of pixels in the thermal imaging image, the unit of Scale is cm.

[0071] The method of this embodiment use...

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Abstract

The invention discloses a living animal monitoring method, equipment and system based on a thermal imager, and relates to the technical field of food safety. The method comprises the following steps:in the same time interval, collecting a plurality of thermal imaging images in a kitchen by using a thermal imager, and pre-screening the thermal imaging images by using Laplace convolution operationto obtain an optimal image in each time period; preprocessing the optimal image to obtain a preprocessed image; carrying out feature extraction on the preprocessed image by utilizing an SIFT descriptor, and carrying out similarity calculation on the features extracted for two adjacent times based on similarity matching to obtain a similarity calculation result; judging whether a living animal exists in the thermal imaging image or not according to a similarity calculation result. According to the method, it can be guaranteed that the living animals can be rapidly and accurately judged, alarm driving can be conducted in time, the quality of food in a canteen is guaranteed, and the method has positive significance in social food safety.

Description

technical field [0001] The present invention relates to the technical field of food safety, and more specifically relates to a method, equipment and system for monitoring live animals based on a thermal imager. Background technique [0002] School cafeteria employees should develop good personal hygiene habits and processing operation habits. Before entering the job, they should wear clean work clothes and hats. Employees are not allowed to smoke in the cafeteria. For meat and other foods, if there are live animals in the kitchen due to improper management, such as cats, mice, etc., it will cause secondary pollution to the ingredients in the cafeteria, causing consumers to be unable to obtain the food they want and rest assured, and increasing the high risk of food. Therefore, how to effectively control non-edible live animals has become a current hot topic, especially nocturnal live animals. Due to the closure of the canteen staff at night, nocturnal live animals gradually ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/10G06V10/462G06V10/751Y02A40/70
Inventor 罗敏蒋千军
Owner 数字蓝盾(厦门)信息科技有限公司
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