Mobile Sentry Robot for Laboratory Safety Inspection Based on Machine Vision and Infrared Thermal Imaging Detection

Zhang, Dong; Guo, Zhongyi

doi:10.1155/2021/6612438

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…In order to effectively reduce or even eliminate safety risks and reduce the risk of safety accidents, he proposed to design a sentinel robot equipped with infrared thermal imaging module. e robot can take appropriate emergency measures to detect dangerous situations, including alarm and firefighting, so as to minimize accidents and reduce economic losses [7]. Jung et al pointed out that infrared thermography has been widely used to show the correlation between body thermal characteristics and muscle activation.…”

Section: Related Workmentioning

confidence: 99%

Cultivation of College Basketball Referee Ability Using Infrared Thermal Imaging Target Recognition and Tracking System

2022

Computational Intelligence and Neuroscience

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With the development of economy and culture and the improvement of infrastructure, basketball is becoming more and more popular. At the same time, whether in school or society, basketball events are increasing, and the demand for basketball referees is also rising. As the base and cradle of training basketball referees, colleges and universities are important places for incubating basketball referees. However, the basketball referee ability cultivated in colleges and universities is still lacking, which cannot meet the increasingly standardized basketball events and basketball training. Infrared thermal imaging has the characteristics of passive imaging, high recognition accuracy, and strong anti-interference. It is especially suitable for tracking and testing basketball players, and this is expected to further improve the comprehensive ability of basketball referees. Based on this, a target recognition and tracking system based on infrared thermal imaging is proposed in this study. Its purpose is to use it to carry out comprehensive ability training for college basketball referees. Experiments show that target recognition and tracking based on infrared thermal imaging can improve the comprehensive ability of basketball referees by 40.32%, and the awareness of basketball referees to fouls has also reached 88.6%. This fully shows that the target recognition and tracking system based on infrared thermal imaging can effectively improve the comprehensive ability of basketball referees and make basketball more regular and standardized.

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Section: Related Workmentioning

confidence: 99%

Cultivation of College Basketball Referee Ability Using Infrared Thermal Imaging Target Recognition and Tracking System

2022

Computational Intelligence and Neuroscience

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“…e distortion of the central position of the imaging plane of the machine vision model is 0, and the distortion degree gradually increases with the outward direction of the optical center [20,21]. e machine vision model is an ideal linear imaging model, while the keyhole imaging model only considers the ideal linear case, but the original image will be distorted excessively due to the calculation deviation and other reasons.…”

Section: Machine Vision Model Optimizationmentioning

confidence: 99%

Design and Application of Art Education Communication Platform Based on Machine Vision

Chen

Tang

et al. 2022

Security and Communication Networks

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There are some problems in the design and application of the art education exchange platform. In order to further analyze the relevant content of the art education exchange, based on machine vision theory, model calibration, and coordinate change are adopted to modify the original model, so as to obtain the optimized model. This model can be used to analyze the design and application of art education platform. Relevant studies show that, according to the coordinate parameter curve, the parameter α plays a promoting role on the coordinate value, while the parameter β plays a promoting role on the coordinate value first and then plays an inhibiting role. The parameter γ also promotes and inhibits coordinate values. The curve corresponding to parameter M1 shows a gradual decline, and the curve of parameter M2 has little influence on coordinate data. The curve corresponding to parameter M3 also shows a linear trend of change. Through analysis, it can be seen that M3 has the greatest influence on coordinate data. By using machine vision model to design and analyze the communication platform of art education, the changing trend of different indicators can be obtained. It can be seen from the analysis that both language and vocal music have obvious stability in the calculation process, which is an inherent attribute of communication platform. Finally, the accuracy of the optimization model is verified by analyzing and predicting the data. This research can provide theoretical support for the application of machine vision model in other fields.

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“…To ensure the normal operation of each module, we must ensure the normal input and output of the voltage. 31 As shown in the data in Table 1, we tested different voltage conditions. The first group of power supply voltage is þ4 V, its resistance requirement is 14 kΩ, the test result is 14.7 kΩ, the voltage output of this power supply is þ4 V, and the test result is þ4.02 V. The second group of power supply voltage is þ3 V, its resistance requirement is 6 kΩ, the test result is 6.3 kΩ, the voltage output of this power supply is þ3 V, and the test result is þ2.98 V. The third group of power supply voltage is þ2.4 V, its resistance requirement is 3.5 kΩ, the test result is 3.3 kΩ, the voltage output of this power supply is þ2.4 V, and the test result is þ2.45 V. fourth group of power supply voltage is þ1.3 V, its resistance requirement is 330 Ω, the test result is 335 Ω, the voltage output of this power supply is þ1.3 V, and the test result is þ1.37 V. According to the actual test value, the output value of the power supply is relatively stable, and the change of the resistance maintains a normal range, indicating that the voltage of the device is relatively stable and can operate normally.…”

Section: Main Control Unit Hardware Testmentioning

confidence: 99%

“…The main control unit is the center of the entire security monitoring, and we must ensure that it works normally. To ensure the normal operation of each module, we must ensure the normal input and output of the voltage 31 . As shown in the data in Table 1, we tested different voltage conditions.…”

Section: Experiments Of Swimming Pool Safety Detection Device Based O...mentioning

confidence: 99%

(Retracted) Swimming pool safety detection device based on computer vision

Zhang

2022

J. Electron. Imag.

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.Computer vision (CV) technology refers to the process of computer simulation of human vision and has the ability to perceive the environment and technology of the human visual function. In reality, CV is essentially the study of visual perception, a discipline that studies how to make computers see as humans do. Machine vision mainly uses computers to simulate human visual functions, extract information from images of objective things, process and understand them, and finally use them for actual detection, measurement, and control. With the frequent occurrence of safety accidents, especially in swimming, it is necessary to make adequate preparations to reduce the occurrence of accidents. Swimming is affected by many external factors. While completing swimming technical movements, trainees must overcome the stimulation of water on the body and the interference of breathing, which can lead to accidents. We aim to study the safety detection device of swimming pools based on CV and use the current popular CV technology to monitor the safety problems of swimming pools. We study the target motion trajectory detection system based on CV and use Zhang’s plane calibration method to locate the camera. This research is based on how the computer back-end server realizes abnormal behavior detection, which greatly saves hardware costs. The experimental data shows that water quality is most important issue in swimming safety, accounting for 29% of the population, which indicates that water quality is the focus of users’ choosing swimming as an activity. Of those surveyed, 19 people could not deal with the risks when swimming, accounting for 24% of the total group surveyed, which indicates that people’s swimming safety coping ability needs to be improved.

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Mobile Sentry Robot for Laboratory Safety Inspection Based on Machine Vision and Infrared Thermal Imaging Detection

Cited by 11 publications

References 24 publications

Cultivation of College Basketball Referee Ability Using Infrared Thermal Imaging Target Recognition and Tracking System

Cultivation of College Basketball Referee Ability Using Infrared Thermal Imaging Target Recognition and Tracking System

Design and Application of Art Education Communication Platform Based on Machine Vision

(Retracted) Swimming pool safety detection device based on computer vision

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