Industrial Technology Research Institute

Hsin-Yi Chen

Sen-Yih Chou

Chia-Liang Yeh

Yi-Chen Hsieh

Chih-Chia Chang

Yan-Rung Lin

Yu-Hsin Lin

Chia-Hung Cho

Hsin-Cheng Lin

Yu-Ying Lan

Cheng-Ta Mu

An integrated system of a physical consumption environment and a network consumption environment and a control method thereof are provided. The control method of the integrated system of the physical consumption environment and the network consumption environment includes the following steps. A biological characteristic image of a consumer in the physical consumer environment is obtained. The biological characteristic image is identified to obtain an identity information from an identity database. An activity of the consumer in the physical consumption environment is detected. A product followed by the consumer and/or a physical behavior information are obtained according to the activity of the consumer in the physical consumption environment. A network behavior information of the consumer in the network consumer environment is obtained according to the identity information. A price of the product is dynamically adjusted according to the physical behavior information and the network behavior information.

Integrated system of physical consumption environment and network consumption environment and control method thereof

An object identification method includes: establishing a training data base including a photographing distance of a training image and a training camera parameter; in photographing a target test object, obtaining a test image, a depth image, an RGB image and a test camera parameter; and based on the training database, the depth image and the test camera parameter, adjusting the RGB image wherein the adjusted RGB image having a size equivalent to the training image of the training database.

Object identification method and device

An image recognition method adapted to recognize a target image is provided. The method includes: providing the target image; training a learning database based on a plurality of feature blocks of the target image; randomly obtaining a plurality of incomplete feature blocks of the target image; adding the plurality of incomplete feature blocks into the learning database to form an enhancement learning database; and recognizing the target image based on the enhancement learning database. In addition, an image recognition device is also provided.

Image recognition method and device thereof

A structured light generating device and a measuring system and method are provided. The structured light generating device includes: a light modulating element for receiving a projection light beam and modulating the projection light beam into a first structured light beam having a pattern, and a light shifting element corresponding to the light modulating element for receiving and shifting the first structured light beam to generate a second structured light beam having the pattern. A shift difference is formed between the first structured light beam and the second structured light beam, and the first structured light beam and the second structured light beam are superimposed to form a superimposed structured light beam so as to improve resolution.

Structured light generating device and measuring system and method

A multi-point spectral system includes an imaging lens, an image capturing module and a multiwavelength filter (MWF) disposed between the imaging lens and the image capturing module. The MWF has a plurality of narrow-bandpass filter (NBPF) units arranged in an array, and each of the plurality of NBPF units has a respective predetermined central transmitted wavelength. The multi-point spectral system is provided to capture plural spectral images of a scene, which contain spectral or color information of the scene. The multi-point spectral system may utilize the information of the plural spectral images to recognize features revealed at the scene.

Multi-point spectral system and multi-point spectral module to be mounted on, clipped on or connected to an image capturing module of an electronic device easily

Growing community of inventors

Hsinchu, Taiwan

Hsin-Yi Chen