Yun Yun Ai Baby Camera Co., Ltd.

Tomofun Co., Ltd.

Kang-Ning Shan

Shih-Yun Shen

Hsin-Yi Lin

Chih-Hsin Tseng

Bo-Zong Wu

Hsueh-Far Hsu

Chien-Yu Chen

Huan-Yun Wu

Yu-Chiao Wang

Hsueh-Fa Hsu

Por-Sau Lin

Chien-Hui Hsu

Yo Chen Victor Chang

Tzu Ling Liang

Tzu-Ling Liang

Yuk Man Maggie Cheung

Camera

A visible-light-image physiological monitoring system with thermal detecting assistance is disclosed. The system takes a visible-light image and a thermal image of a body at the same time. A processing unit identifies a body feature of the visible-light image and determines a coordinate of the feature. In a learning mode, an initial temperature of the body feature is determined from the thermal image according to the coordinate of the body feature. After then, a physiological status monitoring mode is executed to monitor the temperature changes of the body feature and output an alarm when the temperature is determined to be abnormal. Therefore, a monitoring accuracy of the visible-light-image physiological monitoring system is increased and avoids transmitting false alarms or no alarms.

Visible-light-image physiological monitoring system with thermal detecting assistance

An image detection method for selecting a representative image of a user is provided. In the image detection method, a plurality of images of the user are obtained, and a plurality of feature parameters of the plurality of images are obtained. A face occlusion analysis is performed on the plurality of images according to the plurality of feature parameters to determine whether the plurality of images clearly show the user's face. A plurality of feature vectors are determined, and a body distribution analysis is performed on the plurality of images according to the plurality of feature vectors to determine a body position and a position type of the user. An image related to the position type is selected according to results of the face occlusion analysis and the body distribution analysis.

Image detection method and image detection device for selecting representative image of user

An image detection method is provided. In the image detection method, images of a user are obtained, feature parameters are marked in the images, and detection results of the feature parameters in each of the images are evaluated. A body distribution analysis is performed on the images according to the detection result of at least one first feature parameter among the feature parameters to determine first position information of the user. A face occlusion analysis is performed on the images according to the detection result of at least one second feature parameter among the feature parameters and the first position information to determine second position information of the user. The at least one second feature parameter is different from the at least one first feature parameter. The second position information represents a position of the user.

Image detection method and image detection device utilizing dual analysis

An image detection method for determining positions of a user. According to the image detection method, a plurality of images of the user are obtained, whether the user moves is determined according to the images, a plurality of feature parameters of the plurality of images are obtained, and a body distribution analysis and a face occlusion analysis are performed to determine the position of the user.

Image detection method and image detection device for determining position of user

Interactive device for animals

Growing community of inventors

Taipei, Taiwan

Kang-Ning Shan