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: An elevator automatic guide assistant system comprises a user assistant system, an elevator outside assistant system, and an elevator inside assistant system. The user assistant system is configured to send a taking elevator instruction and target floor information to the elevator outside assistant system, receive and send the feedback information to a user. The elevator outside assistant system is configured to guide the user to arrive at an elevator doorway. The elevator inside assistant system is configured to send floor information to the elevator outside assistant system and the user assistant system, receive instructions from the user assistant system, and guide the user to arrive at the target floor. The present disclosure relates also to a guide method of the elevator automatic guide assistant system.

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 ground texture in or on an autonomous mobile device comprises an image acquisition module, a ground texture analysis module, a posture sensing module, and a ground texture database. The image acquisition module collects ground images as the autonomous mobile device moves. The ground texture analysis module processes the ground images, and extracts texture information of the ground images. The posture sensing module continuously senses the posture of the autonomous mobile device. The ground texture database is configured to stores the texture information and the posture.

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.

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 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: The disclosure relates to a face recognition method. The face recognition method includes: providing a face recognition system, the face recognition system includes a database module, a camera module, and a feature point compare module, wherein the database module stores a plurality of data-photos of a plurality of users; turning on the face recognition system to a searching motion, and searching person faces by the camera module to get a target person face of a target person; and, turning on the face recognition system to a recognition motion to judge whether the target person is one user.

Abstract: A computer vision positioning system for a computer-controlled autonomous mobile transportation device in a warehouse for example comprises an image collection module, an artificial marker identification module, a two-dimensional code identification module, a data storage module, and a control module. The image collection module collects images, and transmits the images to the artificial marker identification module and the two-dimensional code identification module. The artificial marker identification module reads an ID of the artificial marker. The two-dimensional code identification module reads a URL of the artificial marker. The data storage module stores a map, a map description file, and location and object-disposal information. The control module controls a autonomous mobile device to move and make a disposal.

Abstract: A computer vision positioning system for a computer-controlled autonomous mobile transportation device in a warehouse for example comprises an image collection module, an artificial marker identification module, a two-dimensional code identification module, a data storage module, and a control module. The image collection module collects images, and transmits the images to the artificial marker identification module and the two-dimensional code identification module. The artificial marker identification module reads an ID of the artificial marker. The two-dimensional code identification module reads a URL of the artificial marker. The data storage module stores a map, a map description file, and location and object-disposal information. The control module controls a autonomous mobile device to move and make a disposal.

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

Abstract: An elevator automatic guide assistant system comprises a user assistant system, an elevator outside assistant system, and an elevator inside assistant system. The user assistant system is configured to send a taking elevator instruction and target floor information to the elevator outside assistant system, receive and send the feedback information to a user. The elevator outside assistant system is configured to guide the user to arrive at an elevator doorway. The elevator inside assistant system is configured to send floor information to the elevator outside assistant system and the user assistant system, receive instructions from the user assistant system, and guide the user to arrive at the target floor. The present disclosure relates also to a guide method of the elevator automatic guide assistant system.

Abstract: An electronic device connects to a server to update software. The electronic device includes an execution module, a download module and an installation module. The execution module determines whether a new update schedule is available on the server according to an update schedule. The download module downloads the new software package according to the update schedule when a new software package is detected. The installation module installs the new software package.

Abstract: Streaming video data from the video title is delivered to a client from a central server and a proxy server. To reduce the backbone bandwidth required, a portion of the video title is cached at the proxy server where the portion cached is distributed over the video title so as to reduce the peak bit rate required for the central server to send the remaining portion of the video title. The amount cached at the proxy server may be adjusted in accordance with access profile of video titles to improve caching efficiency. The portion cached may be the basic layer in a scalable multilayer approach where only the basic layer may be sent to a client who has limited bandwidth while clients with higher bandwidth capability may also receive the enhancement layer(s) for improved video reception.