Abstract: The present disclosure provides an electronic device including a first sensing circuit, a second sensing circuit and a power line. The first sensing circuit includes a first sensing unit and a first transistor, and a first end of the first sensing unit is coupled to a control end of the first transistor. The second sensing circuit includes a second sensing unit and a second transistor, and a first end of the second sensing unit is coupled to a control end of the second transistor. A first end of the first transistor and a first end of the second transistor are coupled to the power line.

Abstract: An expander includes a first handle, a second handle, a first supporting member, and a second supporting member. The first handle includes a first gripping portion, a first pivoting portion, a first connecting portion, and an expanding compass. The second handle includes a second gripping portion, a second pivoting portion, and a second connecting portion. The second gripping portion includes a thru groove, and the expanding compass passes through the thru groove. The second pivoting portion is pivoted to the first pivoting portion. The second connecting portion and the second gripping portion are extending from two ends of the second pivoting portion, and the extension direction of the second connecting portion is not parallel to the extension direction of the second gripping portion.

Abstract: An oral dilator includes a first body, a second body, a rotary member, and a positioning member. The first body includes a housing and a first duckbilled element. The second body includes a second duckbilled element corresponding to the first duckbilled element. The rotary member drives the second body to rotate. The positioning member is on the first body and selectively locks or unlocks the relative position between the first duckbilled element and the second duckbilled element when the second duckbilled element is driven to rotate by the rotary member.

Abstract: An artificial marker combination to be read by an autonomous mobile device comprises at least two artificial markers arranged in order. Each artificial marker is different and the artificial marker combination is used as a group of artificial markers. A computer vision positioning system used in connection with the artificial marker combination utilizes the individual meanings in the multiple markers as instructions for the mobile device markers along its route. A method for the computer vision positioning system is also provided.

Abstract: An autonomous mobile device includes a map interpretation module, an image collection module, an image collection module, an artificial marker identification module, a personal guidance module, a voice input module and a control module. The image collection module collects an image in front of the autonomous mobile device and form an image signal. The artificial marker identification module receives the image signal and identifies the artificial marker in the image to achieve a positioning of the autonomous mobile device. The personal guidance module activates a personal guidance mode of the autonomous mobile device, and stores a location of a guidance point and an actual movement information of the autonomous mobile device to form a guidance path. The voice input module inputs a name of the guidance path. The control module controls the autonomous mobile device to move according to the guidance path stored by the map interpretation module.

Abstract: The disclosure relates to an interconnecting device and system of IOT (Internet of Things). The interconnecting device is configured to interconnect different IOT platforms or interconnect a IOT platform with a robot. The interconnecting device comprises a hardware and a software comprising a control module, a communication module and a conversion module. The conversion module is configured to convert the message between different IOT platforms or between the IOT platform and the robot. The system of IOT comprises at least one IOT platform and the interconnecting device. The interconnecting device can interconnect different IOT platforms or interconnect a IOT platform with a robot conveniently.

Abstract: An automatic guiding system for analyzing pavement curvature in or on an autonomous mobile device comprises an image acquisition module, a pavement curvature analysis module, a posture sensing module, and a pavement curvature database. The image acquisition module collects pavement curvature images as the autonomous mobile device moves. The pavement curvature analysis module processes the pavement curvature images, and extracts contour information of the pavement curvature images. The posture sensing module continuously senses the posture of the autonomous mobile device. The pavement curvature database is configured to stores the contour information and the posture.

Abstract: An oral dilator includes a first body, a second body, a rotary member, and a positioning member. The first body includes a housing and a first duckbilled element. The second body includes a second duckbilled element corresponding to the first duckbilled element. The rotary member drives the second body to rotate. The positioning member is on the first body and selectively locks or unlocks the relative position between the first duckbilled element and the second duckbilled element when the second duckbilled element is driven to rotate by the rotary member.

Abstract: An autonomous mobile device includes a map interpretation module, an image collection module, an image collection module, an artificial marker identification module, a personal guidance module, a voice input module and a control module. The image collection module collects an image in front of the autonomous mobile device and form an image signal. The artificial marker identification module receives the image signal and identifies the artificial marker in the image to achieve a positioning of the autonomous mobile device. The personal guidance module activates a personal guidance mode of the autonomous mobile device, and stores a location of a guidance point and an actual movement information of the autonomous mobile device to form a guidance path. The voice input module inputs a name of the guidance path. The control module controls the autonomous mobile device to move according to the guidance path stored by the map interpretation module.

Abstract: An autonomous mobile device with computer vision positioning system comprises a map interpretation module, an image collection module, an artificial marker identification module, a path planning module, and an obstacle dodging module. The map interpretation stores a map of a desired moving area and a map description file corresponding to the map. The image collection module collects an image in front of the autonomous mobile device during movement in the desired moving area and form a image signal. The artificial marker identification module receives the image signal outputted by the image collection module and identifies the plurality of artificial markers of the image to achieve a positioning. The path planning module plans an optimal movement information of the autonomous mobile device moving between the plurality of artificial markers. The obstacle dodging module controls the autonomous mobile device to dodge an obstacle autonomously.

Abstract: An apparatus for autonomously modifying environment information comprises an autonomous mobile device, a data storage module, an image collection module, an artificial marker identification module, a data recording module, a data analysis module, a data modification module, and a plurality of artificial markers. The image collection module is used to collect an image and transmit the image to the artificial marker identification module. The artificial marker identification module receives the images and identifies a plurality of artificial markers of the image to achieve a positioning. The data recording module records a path surface environment change information and a movement information. The data analysis module analyzes the movement information to achieve an optimal movement information. The data modification module receives the path surface environment change information and the optimal movement information to modify the map and the map description file stored in the data storage module.