National Applied Research Laboratories

Yi-Hao Hsiao

Fang-Pang Lin

Jyh-Horng Wu

Hsin-Hung Lin

Chien-Hao Tseng

Shi-Wei Lo

Yun-Te Lin

Jyh-Hong Wu

Yung-Hsiang Huang

Te-Lin Chung

Meng-Wei Lin

Sheng-Wen Wang

Ting-Shuan Yeh

Jih-Sheng Chang

Jo-Yu Chang

The present invention relates to a method for size estimation by image recognition of a specific target using a given scale. First, a reference objected is recognized in an image and the corresponding scale is established. Then the specific target is searched and the size of the specific target is estimated according to the acquired scale.

Method for size estimation by image recognition of specific target using given scale

The present invention discloses a distributed automatic notification method for abnormality in remote massive monitors. If a data stream is not available, a disconnect prompt stream is generated. The data stream is converted to a continuous video. Then, the continuous video is divided into a plurality of single-frame images along the time axis, and each single-frame image is divided into a plurality of image grids. A plurality of pixels are next selected from each image grid. According to a plurality of image parameter values corresponding to the plurality of pixels, a statistical value of image grid parameter is calculated. Then whether an image grid is monochromatic can be judged according to the statistical value of image grid parameter. When a plurality of continuous single-frame images are judged to be monochromatic single-frame images, the color of the monochromatic single-frame images can be further judged.

Distributed automatic notification method for abnormality in remote massive monitors

A liquid level detection method includes capturing an image of a liquid surface, a structural surface, and graduation markings provided on the structural surface using an image-capturing device to thereby obtain an initial image. Subsequently, the initial image is processed so as to generate a processed image, and a level reference value of the liquid surface is obtained from the processed image. The level reference value represents a height of the liquid surface in terms of inherent characteristics of the processed image. Lastly, a liquid level of the liquid surface is calculated based on a relative proportional relation among the level reference value, an overall height of the processed image in terms of the inherent characteristics of the processed image, and dimensions of any one of the initial and processed images relative to the graduation markings.

Liquid level detection method

Growing community of inventors

Hsinchu, Taiwan

Yi-Hao Hsiao