Au Optronics Corporation

Wistron Corporation

Other

Industrial Technology Research Institute

Acer Display Technology, Inc.

Hongfujin Precision Electronics (tianjin) Co.,ltd.

Cloud Network Technology Singapore Pte. Ltd.

Fulian Precision Electronics (tianjin) Co., Ltd.

Axiomtek Co., Ltd.

Tamkang University (a University of Taiwan)

Hon Hai Precision Industry Co., Ltd.

Tamkang University

Taiwan Hopax Chems. Mfg. Co., Ltd.

Po-Cheng Chen

Jiun-Han Wu

Chia-Lung Hsu

Ming-Chih Chen

Chien-Hsing Li

Kan-Nan Chen

Ming-Chi Kao

Shih-Chieh Wang

Liang-Chin Wang

Yu-Wen Chen

Wen-Rong Wu

Chun-Hung Kuo

Shih-Yin Tseng

Kai-Fan Lee

Kuang-Yu Liu

Ling-Chieh Tai

Jing-Zhong Hwang

Chen-Kwang Pan

Ting-Yu Du

Jing-Lung Chen

Kao-Pin Lin

Guei-Jia Chang

Jhong-Jheng Lin

Cheng-Wei Tsai

Jin-Yuh Lu

Yu-Kai Lin

Yao-Ching Su

Wei-Hung Chen

Chi-Ming Huang

Li-Jane Her

Hwai-Tsu Chang

Wen-Chieh Hsu

You-Yun Lee

Cheng-Yu Wang

Yi-Hsieh Chiou

Yin-pin Yang

Po-Hsiang Chen

Tzeng-Shii Tsai

Chih-Wei Huang

Shou-Ling Sui

Shih-Chen Lin

Ya-Kuan Chuang

Wei-Chun Chen

Wen Chieh Hsu

Jen-Taut Yeh

Shih-chieh Wang

Kan-nan Chen

Chien-Chieh Wang

Yao-Jheng Chen

Kuo-Kuan Wu

Jen-Tzung Chien

Jiun Ham Wu

Tzu-Pang Chieng

Yu-Te Lee

Jing-Lungmr Chen

Jing-Zhong Hwuang

Liang-chin Wang

Kao-pin Lin

An accuracy measurement method of an autonomous mobile vehicle, a calculating device, and an autonomous mobile vehicle are provided. The accuracy measurement method includes a distance calculating step, a regression center calculating step, and an average calculating step. The distance calculating step includes a controlling step, a light beam emitting step, an image capturing step, an image analyzing step, and a converting step. The regression center calculating step is performed after the distance calculating step is repeatedly performed by at least two times. The accuracy measurement method is performed to obtain an X-axis offset in an X-axis direction, a Y-axis offset in a Y-axis direction, and an angle deflection of an autonomous mobile vehicle.

Accuracy measurement method of autonomous mobile vehicle, calculating device, and autonomous mobile vehicle

An accuracy measurement kit is provided and includes a marker, at least one light beam device, an image capture device, and a processing device. The marker is disposed on an autonomous mobile vehicle, and at least partially includes a reference pattern. The light beam device is configured to emit a light beam to the autonomous mobile vehicle located at a predetermined position so as to form a light spot on the marker. The processing device is configured to capture the light spot the marker on the autonomous mobile vehicle for generating a to-be-analyzed image. The processing device is configured to obtain an offset of the autonomous mobile vehicle in an X-axis direction and a Y-axis direction by calculating images of the to-be-analyzed image corresponding to the reference pattern and the light spot.

Accuracy measurement kit

A method for processing audio generated in a virtual meeting room (VMR) includes setting a quantity of mesh vertexes according to seats in the VMR, obtaining first voiceprint information of a presenter, the first voiceprint information comprising a frequency, an amplitude, and a phase difference of an audio signal, adjusting the frequency or amplitude of the first voiceprint information according to the quantity of the mesh vertexes, and obtaining second voiceprint information; and determining a seat of the presenter in the VMR according to the second voiceprint information. An apparatus and a non-transitory computer readable medium for processing audio as above are also disclosed.

Method, apparatus, and non-transitory computer readable medium for processing audio of virtual meeting room

An employment recruitment method based on face recognition includes acquiring a candidate's data from a third-party website, analyzing the candidate's data by a semantic analysis method to identify human resources information of the candidate, and analyzing messages and postings in the human resources information of the candidate to determine candidate's personality. A terminal device acquires a second face image of the candidate by a second camera, analyzes the second face image of the candidate by a computer vision algorithm to determine a micro-expression of the candidate, and provides the candidate's human resources information, the candidate's personality, and the candidate's micro-expression to the recruiter to evaluate the candidate. The terminal device applying the method is also disclosed.

Employment recruitment method based on face recognition and terminal device using same

A method for analyzing validity of responses to a questionnaire by students identifies each student in classroom images, and analyzes the defined classroom behaviors of each student over a period of time. The classroom behaviors can include learning behaviors and non-learning behaviors. The method determines whether the non-learning behaviors of each student meet (ie. are less than) or exceed (ie. are more than) one or more preset conditions and accordingly screens the questionnaire responses as being valid or not valid. An electronic device and a storage medium for performing the above-described method are also disclosed.

Electronic device and method for analyzing responses to questionnaires

A self-navigating cleaning device with obstacle-removing capabilities includes a detecting unit to detect the environment, and a driving unit to receive the driving signal from a navigation control unit and drive the cleaning device to move according to the driving signal. A floor cleaning unit cleans the floor automatically during movement of the cleaning device.

Self-navigating and object-lifting cleaning device

An electronic device includes a first machine body, a second machine body, a hinge structure, a moving component, and a towing structure. The hinge structure is configured to pivot the first machine body and the second machine body. The moving component is movably disposed in the first machine body. The towing structure is disposed in the first machine body and is coupled to the hinge structure and the moving component. The towing structure is configured to be driven by the hinge structure to drive the moving component to move relative to the first machine body.

Electronic device

A noise suppression apparatus and a fan module using the same are provided. The noise suppression apparatus includes a resonator, a status indication unit, and a first thermoelectric component. The resonator is disposed on a sound transmission tube of a noise generation source, and includes a chamber and a clapboard disposed in the chamber. The status indication unit generates a control signal according to an operational status of the noise generation source. The first thermoelectric component is disposed in the resonator, and has a first terminal fixed on a sidewall of the chamber and a second terminal connected to the clapboard. The first thermoelectric component deforms in response to the control signal as the operational status of the noise generation source changes, so as to move the clapboard to change resonance volume of the resonator, and thus resonance frequency of the resonator approaches noise frequency of the noise generation source.

Noise suppression apparatus and fan module using the same

A vibration suppressing apparatus and a vibration suppressing method thereof are provided. The vibration amplitude, vibration frequency, and vibration phase of a vibration suppressing unit are adjusted in real-time according to the vibration amplitude, vibration frequency and vibration phase of a vibration source.

Vibration suppressing apparatus and vibration suppressing method thereof

A face recognition system for recognizing face in two stages includes a processor and a camera. The camera captures a face image. The processor includes a image locating unit, an image recognition unit, a first feature extraction unit, a second feature extraction unit, and a comparison unit. The image locating unit locates a face in the face image. Facial landmarks are recognized by the image recognition unit and the first feature extraction unit extracts a deep-learning based facial feature. The second feature extraction unit extracts a hand-crafted facial feature. The comparison unit compares the deep-learning based facial feature and the hand-crafted facial feature with a predetermined facial samples library to output a result of facial comparison. A face recognition method is also provided.

Face recognition system and method

A vehicle warning system includes a warning tripod and a portable electronic device able to communicate with the warning tripod. Based on a location of a stationary vehicle or other road obstacle, the portable electronic device controls the warning tripod to automatically move to a position to warn other vehicles, and after the warning function is carried out, the portable electronic device controls the warning tripod to automatically move back to the stationary vehicle.

Vehicle warning system

A pedestrian detection system including a camera device and a cloud server. The cloud server includes an entrance node and a compute node unit including a plurality of compute nodes. The entrance node is configured to receive image data from the camera device, to divide the image data into a plurality of subordinate task areas, and to extract a percent of the subordinate task areas. The compute node unit is configured to receive the percent of the subordinate task areas from the entrance node, and processes simultaneously the percent of the subordinate task areas. Therefore, an efficiency of processing image of pedestrian can be improved.

Pedestrian detection system and method

A control system for a mobile warning triangle, to implement route planning by distance sensors and internet connection. Modules can control the mobile warning triangle to rotate to establish an environmental map and convert the environmental map into a linear vector map. A line forward can be established as a reference direction and the mobile warning triangle moved a second predetermined distance. A driving control module controls the mobile warning triangle to keep moving forward on the original line or to move on a reselected line. A control method of the mobile warning triangle is also provided.

System and method for controlling mobile warning triangle

A wireless communication connecting system includes a at least one wireless access point, a wireless electronic device, a position obtaining module, a position determining module, and a controlling module. A rotatable directional antenna is installed in the wireless electronic device. The position obtaining module determines first relative positions between each wireless access point and the wireless electronic device. A position determining module determines angles of relative positions between the directional antenna and each wireless access point according to a position information of the directional antenna and the first relative positions. The controlling module controls the directional antenna to point to the strongest-signal wireless access point. A wireless communication connecting system method is also disclosed.

Wireless communication connecting system and method

An electronic device includes a first body, a second body, a rotary shaft and a flexible display panel. The second body is movably connected to the first body and is adapted to lean against the first body or separate from the first body. The rotary shaft is pivotally connected to the first body. The flexible display panel is connected between the first and second bodies. When the second body is at the first position, a first section of the flexible display panel is rolled around the rotary shaft, and a second section of the flexible display panel is expanded between the first and second bodies. When the second body is at the second position, a part of the first section and the second section are expanded between the first and second bodies.

Growing community of inventors

Taipei, Taiwan

Po-Cheng Chen