Xi'an University of Architecture and Technology

Tianjin Chengjian University

Zhejiang Hengxi Optoelectronics Technology Co., Ltd.

Yuyao Guo

Bin Yang

Dacheng Jin

Ruiqi Guo

Angui Li

Fei Wang

Pengju Liu

Bingan Pan

Xiaojing Li

Ke Zhang

Huangcheng Yao

Xiaogang Cheng

Jinxia Gao

Yawen Gai

Xingrui Du

The invention discloses a spray cooling fan control system and method based on computer vision technology. The data acquisition system monitors person thermal comfort through various non-contact measurement methods, which improves the accuracy and instantaneity and achieves human thermal comfort and energy saving. The information processing system adjusts the air and spray volume based on human skin temperature and thermal sensation and plans the mobile path. The mobile control system moves the spray cooling fan to the optimal location so that the mobility and flexibility are enhanced. The intelligent voice interaction system and the end control system control the opening of the fan intelligently and humanely so that people become the main subject which controls the environmental temperature optimization equipment. Consequently, the invention cools person precisely and meets the thermal environment control and personnel thermal needs quickly.

Spray cooling fan control system and method based on the computer vision technology

A multi-area artificial fog pipe network control method and system based on a you only look once version 5 (YOLOv5) algorithm are provided. The method includes: obtaining thermal sensation data of each target person based on facial skin temperature; calculating group thermal sensation data of each subarea and total group thermal sensation data of an artificial fog pipe network area; determining a total flow of fog-making water introduced into the artificial fog pipe network according to target number of people and total group thermal sensation data; controlling opening gears of atomization nozzles on the artificial fog pipe networks in subareas according to a number of the target person in each subarea, the group thermal sensation data and a micro-action type of each target person.

Multi-area artificial fog pipe network intelligent control method and system based on YOLOv5 algorithm

Fatigue driving monitoring, reminding and early-warning method and system based on computer vision are provided. The system includes: a fatigue real-time monitoring system for identifying fatigue characteristic postures of a driver and obtaining a fatigue level according to frequencies of the fatigue characteristic postures and a driving time; a fatigue automatic reminding system for receiving the fatigue level, obtaining a vehicle real-time position information and providing the driver with a corresponding grade of reminder according to the fatigue level; and a fatigue information early-warning system for receiving the fatigue level and the vehicle real-time position information to obtain a fatigue safety index, so that a cloud map of fatigue road conditions is obtained according to the fatigue safety index and shared with traffic management departments and drivers for early-warning. It reduces the situation of fatigue driving on freeway and the hazard of traffic safety accidents caused by fatigue driving.

Fatigue driving monitoring, reminding and early-warning method and system based on computer vision

A control system and a control method for individual thermal comfort based on computer visual monitoring are provided. The control system may include a data acquisition device, an information processing device, an intelligent voice inquiry device, a terminal control device including a terminal controller connected to an external equipment and a biological real-time device connected to the data acquisition device and a human thermal sensation predictor. The data acquisition device includes a semi-contact measurement instrument and a contact-less measurement instrument. The contact-less measurement instrument includes an infrared sensor and a camera built with a skeletal node recognizer and an Euler video amplifier. The information processing device may include a memory, the human thermal sensation predictor for obtaining the predicted thermal sensation value and a comparator connected to the intelligent voice inquiry device. It solves the problem that the prior art cannot meet the thermal comfort.

Control system and control method for individual thermal comfort based on computer visual monitoring

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Tianjin, China

Yuyao Guo