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 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 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: 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: The disclosure relates to a face recognition system. The face recognition system includes a database module, a camera module, a feature point compare module and a judge module. The database module is configured to store material of a plurality of users. The camera is configured to take a scene-photo of a target person and provide a group of scene-parameters of the scene-photo. The feature point compare module is configured to compare the group of scene-parameters with the material stored in the database. The judge module is configured to compare the scene-photo and the data-photo to judge whether the target person is a user. A face recognition method is also related.

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: 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 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.