Viscovery (cayman) Holding Company Limited

Viscovery Pte. Ltd.

Shao-Hang Hsieh

Chun-Chieh Huang

Chia-Tsen Sun

Yen-Cheng Chen

Yu-Tai Hung

Po-Hsiang Chen

Peng-Cheng Chen

Chuan-Yong Wei

A checkout apparatus for barcodeless merchandise, the checkout apparatus includes an image camera module and a control module coupled to the image camera module. The image camera module obtains a merchandise image includes the barcodeless merchandise. The control module receives the merchandise image and generates an output datum according to a result of a merchandise identification program after the control module performs the merchandise identification program on the merchandise image. At least one of the image camera module and the control module is coupled to the point of sales (POS) management system or is embedded in the POS management system, the output datum is readable for the POS management system.

Checkout apparatus for barcodeless merchandise

An image recognizing method adopted by a platform is disclosed. The method first receives multiple targets to be recognized at the platform, and inquiries a pre-established semantic tree by reference to the targets for determining if the recognition results of the multiple targets will cause confusion or not. If confusion is not foreseeable, the method obtains respectively a parent-classifier corresponding to each parent-category of each of the targets, and uses the parent-classifiers directly to perform a recognition action to the targets. Otherwise, the method obtains respectively multiple child-classifiers corresponding to multiple subcategories below each of the targets, and uses the multiple child-classifiers to perform such recognition action to the targets.

Image recognizing method for preventing recognition results from confusion

A computer-vision based automatic inserting and playing method for advertisement analyzes a video for obtaining multiple shots of the video, and obtaining semantic information related to targets appearing in each shot and low-level information related to vision of each shot. Next, the method matches the semantic information and the low-level information of each two adjacent shots with other semantic information and other low-level information of candidate advertisements, so as to determine one or more insertion time points of the video, and one or more inserting advertisements respectively related to each of the insertion time points. The matching of the semantic information ensures the inserting advertisement and a front shot and a rear shot of the insertion time point are all related with each other, and the matching of the low-level information enhances visual fluency in playing and switching among the front shot, the inserting advertisement and the rear shot.

Computer-vision based automatic inserting and playing method for advertisement

Growing community of inventors

Taipei, Taiwan

Shao-Hang Hsieh