Tianjin Chengjian University

Xi'an University of Architecture and Technology

Zhejiang Hengxi Optoelectronics Technology Co., Ltd.

Xiaojing Li

Bin Yang

Fei Wang

Angui Li

Yihang Liu

Yuyao Guo

Ruiqi Guo

Ke Zhang

Lingge Chen

Jinxia Gao

Yawen Gai

Huangcheng Yao

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 control system and a control method of refrigeration in a closed space based on computer vision are provided. An image of a food, temperature and humidity information in the closed space are collected, and a type of the food is identified according to the image. The image is processed through Euler video amplification when food is not packaged to obtain surface color distribution information of the food, a state of the food is determined according to the surface color distribution information and a historical learning result, and a state prompt corresponding to the state of the food is provided to a user. Temperature and humidity in the closed space are regulated according to the state of the food. The state of the food is determined according to storage time and a known quality guarantee period when the food is packaged, and another state prompt is provided to the user.

Control system and control method of refrigeration environment in closed space based on computer vision

Sunshading louver control system and method based on gesture recognition are provided. Indoor images are collected in real time. Based on the indoor images, an action region of gesture motion is positioned and feature extraction is performed thereon to obtain hand motion parameters. The hand motion parameters are analyzed to obtain gesture information. The gesture information is compared with preset gesture information. When the preset gesture information contains the gesture information, corresponding adjustment is performed on a sunshading louver according to a preset operation logic corresponding to the gesture information. When the preset gesture information does not contain the gesture information, the gesture information is determined to be invalid. The lifting and rotation angles of the louver can be automatically controlled according to various gestures of indoor personnel, thereby rapidly realizing regulation of indoor illumination and natural ventilation quantity, and meeting the change of personnel's demand for indoor environment.

Intelligent sunshading louver control system and method based on gesture recognition

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Tianjin, China

Xiaojing Li