Industrial Technology Research Institute

Chi-Chun Hsia

Yu-Hsien Chiu

Ya-Chu Chuang

Pei-Jung Wang

Jun-Bin Yeh

Wan-Jung Chang

Kuo-Yuan Li

Li-Jie Chen

Wei-Che Chuang

A method of automatically setting optical parameters, using Automatic Optical Inspection (AOI) System, the method includes the following steps. Firstly, a recommended object image is obtained when the AOI system is set under a first recommended optical parameter set. Then, a computation is performed on an object standard picture and a recommended object image to obtain a recommended error value between the object standard picture and the recommended object image according to an optimized error function. Then, whether the recommended error value converges is determined. Then, when the recommended error value does not converge, a computation is performed to obtain a second recommended optical parameter set according to the recommended error value and the first recommended optical parameter set. Then when the recommended error value converges, the first recommended optical parameter set is decided as an optimal optical parameter set of the AOI system.

Method of automatically setting optical parameters and automated optical inspection system using the same

An embodiment of an equipment health state monitoring method adapted to monitor an equipment having a monitored part, including: obtaining a plurality of first values of the monitored part from a sensor in a first time period; extracting a plurality of first parameters from the first values; generating an equipment health state index model according to the first parameters; obtaining a plurality of second value from the sensor in a second time period after the first time period; extracting a plurality of second parameters from the second values; generating a plurality of equipment health state indices according to the second parameters and the equipment health state index model; generating a health state control chart according to the equipment health state indices; and determining whether each of the equipment health state indices locates in an alert area of the health state control chart and outputting a determination result accordingly.

Health monitor method for an equipment and system thereof

A method and a system for analyzing a plurality of process factors affecting the trend of a continuous process are provided. The method includes the following steps: A plurality of similar time periods are selected from a time series. The trend of the continuous process in each of the similar time periods is similar to the trend of the continuous process in a current time period. A contribution of each of the process factors corresponding a monitoring target is analyzed according to the process factor values in the similar time periods and a plurality of monitor target values of the monitoring target. Part of the process factors are picked out according to the contributions.

Method and system for analyzing process factors affecting trend of continuous process

A method and mobile device for awareness of language ability are provided. 'Repeated pattern index'-related properties, such as, a vocabulary usage amount, a vocabulary type, or a ratio, a time point, a time length or repeated contents of a repeated voice segment, and 'community interaction index'-related properties, such as, a number of persons who speak with a user, a conversation time length, or whether the user talks alone during each time interval, are extracted according to voice data collected by a voice collection element worn on the user. Then, a language ability of the user is further calculated, so as to provide evaluation of the language ability of a dementia patient for reference.

Method and mobile device for awareness of language ability

The present invention relates to a method and system for monitoring sport related fitness by estimating muscle power and joint force of limbs, in which the system comprises a sensing module and a force/track detection module, wherein sensor values from the sensing module are fed to the force/track detection module to be used as base for estimating feature parameters and classifying a motion series relating to muscle power and joint force of limbs so as to obtain skill-related fitness parameters corresponding to the sensing of the sensor module.

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Kaohsiung, Taiwan

Chi-Chun Hsia