Hon Hai Precision Industry Co., Ltd.

Scienbizip Consulting(shenzhen)co., Ltd.

Shenzhen Airdrawing Technology Service Co., Ltd

Tien-Ping Liu

Horng-Juing Lee

Yu-Chien Hsiao

Yu-Tai Hung

Shu-Fen Chen

Fu-Hsiung Yang

I-Hao Chung

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.

Computer vision positioning system and method for the same

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.

Autonomous mobile device and method of forming guiding path

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.

Elevator automatic guide assistant system and guide method

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.

Interconnecting device and IOT system using the same

The disclosure relates to a face recognition system. The face recognition system includes a camera module configured to acquire face recognition information of a target object; a feature point recognition module configured to select facial feature points; a displacement output module configured to output a displacement and azimuth of the camera module during acquiring the face recognition information at different positions; a distance calculation module configured to calculate depth distances between the facial feature points and the displacement between the different positions; and a face recognition module configured to judge whether the target object is the target user. A face recognition method is also related.

Face recognition system and face recognition method

The disclosure relates to a self positioning system and an autonomously mobile device using the same. The self positioning system is installed on the autonomously mobile device at work. The self positioning system includes a controlling module, an image acquisition module configured to acquire an image of the surrounding environment of the autonomously mobile device, an image dealing module configured to deal the image of the surrounding environment by selecting the feature point, and a calculating module configured to calculate position information of the autonomously mobile device according to the position change of the same feature point in different images. The self positioning system further includes a spraying module configured to spray liquid or paste to form a feature point in the surrounding environment.

Self positioning system and autonomously mobile device using the same

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.

Automatic guiding system for analyzing pavement curvature and method for the same

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.

Automatic guiding system for analyzing ground texture and method for the same

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.

An electronic device for playing multimedia files includes a storage unit, an input unit, a control unit, and a play unit. The storage unit stores a number of multimedia files. The control unit determines whether two or more multimedia files are selected to play according to signals from the input unit, determines types of the selected multimedia files if two or more multimedia files are selected, and controls the play unit to play the selected multimedia files according to a priority each type of multimedia files is assigned if the selected multimedia files have different types.

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Taipei, Taiwan

Tien-Ping Liu