Industrial Technology Research Institute

Leii H Chang

Jian-Ren Chen

Yi-Fei Luo

Chii-Yah Yuan

Hon-Yue Chou

Chih-Wei Chen

Yi-Yuan Chen

Ho-Hsin Lee

Ju-Chia Kuo

Chung-Chia Kang

Vincent Kuo

Shang-Chih Hung

Chen-Ying Kao

Cheng-I Kuo

Teh-Chang Wu

Yung-Lung Lin

A method and a system for integrating multiple camera images to track a vehicle are provided. In the method, a security request of a vehicle to be tracked is received from a user, in which the security request comprises registration information and position information of the vehicle. Next, images captured by multiple cameras in a specific range around a location of the position information are retrieved. The retrieved images are analyzed according to the registration information, so as to recognize the images comprising the vehicle. Finally, a message is issued when the images comprising the vehicle are recognized.

Method and system for integrating multiple camera images to track a vehicle

A detached-type temperature indicator and method for using the same is disclosed. The indicator includes a temperature sensing module and a temperature display module. These two modules are separated apart with a distance, and the temperature change sensed by the temperature sensing module can be displayed on the separate temperature display module without using any power sources. This indicator is suitable for observing the magnetic sensing patterns which reflect the temperature variations within the package from the exterior of the package without opening the package. Also, this indicator may be used repeatedly.

Detached-type temperature indicator and method for using the same

A method and a system for recognizing at least one testing image according to classes are provided, wherein each of the classes includes sample images. The method includes generating an average image of each class according to the sample images, generating a feature enhancement mask according to differences between the average images of the classes, enhancing the sample images of each class by using the feature enhancement mask to generate a plurality of enhanced sample images corresponding to each class, and training a classifier according to the enhanced sample images of each class. The method also includes enhancing the at least one testing image by using the feature enhancement mask to generate an enhanced testing image, classifying the enhanced testing image into one of the classes by using the classifier, and recognizing that the testing image belongs to the classified class. Thereby, this method can effectively recognize the testing image.

Method and system for recognizing images

A system and a method for detecting multi-level intrusion events are provided. The system includes an area recognition module and an area classification module. The area recognition module performs a geometric topology operation to recognize a plurality of areas in a ground plane that has a plurality of boundaries and a plurality of gates, and each of the areas is constituted of at least one of the boundaries and at least one of the gates. The area classification module defines a plurality of security levels and classifies each of the areas recognized by the area recognition module as one of the security levels. Accordingly, the system is able to automatically recognize the areas in the ground plane, set the security levels of the areas, and generate the corresponding detection areas and tripwires according to the security levels of the areas.

System and method for detecting multi-level intrusion events and computer program product thereof

A system and a method for performing rapid facial recognition are provided. The rapid facial recognition system includes an image capture device, a broadcasting feature computing unit and several response recognition computing units scattered on the network. Each of the broadcasting feature computing unit and the response recognition computing units includes a feature recognition module, wherein the broadcasting feature computing unit further includes a feature extraction module and an identification module. The image capture device captures a facial image, and the feature extraction module extracts features of the facial image to generate a set of feature data that is broadcasted to the response recognition computing units. The feature recognition modules, in accordance with the set of the feature data and their classes allocated, perform distributed facial recognition for generating recognition results as a response. The identification module identifies the recognition results to accomplish the recognition of an individual's identity.

System and method for performing rapid facial recognition

Disclosed is a tagging and path reconstruction method utilizing unique identification characteristics and the system thereof. The tagging and path reconstruction system comprises a plurality of readers for reading identification information having unique IDs, a plurality of cameras for taking object's image data, and a server. The server includes an identifying and tagging module, an interlaced fusion and identification module, and a path reconstruction module. The identifying and tagging module identifies and tags the object image data with unique IDs. The interlaced fusion and identification module filters, checks and updates the tagged object image data. The path reconstruction module recovers the tagged object image data, lets them regress to their original identity data, and reconstructs the motion path of each object.

Tagging and path reconstruction method utilizing unique identification and the system thereof

A method and system for reading and identifying RFID tags of the invention is disclosed. The invention is capable of registering and storing information of a plurality of RFID tags attached to objects of the same group into a memory block of at least a specified RFID reader or RFID tag. The invention is also capable of enabling at least a specified RFID reader/tag in response to a first inquiry of an interrogator by transmitting each identification code of the plurality of RFID tags to the interrogator for acknowledgement. The method is capable of achieving the objective of reducing the overall communication time as the reader does not have to inquire one by one to the RFID tags to save the number of times of communication between the inquiry of the reader and the response of the RFID tags. In addition, the reading rate of the RFID system can be improved effectively since at least one of the RFID tags can function as a spokesman for those RFID tags hidden deeply inside a pile of the objects of the group.

Method and system for reading and identifying RFID tag

A navigation system and method are applied in a predetermined space in which a plurality of control points is defined. The navigation method comprises the steps of: installing a plurality of control point RFID tags near the entrance to every control point-controlled lane, wherein each control point RFID tag is stored with data thereof; reading the data stored in the RFID tags; determining, in light of the read data, a direction or a distance one should preferably go from a current location; and indicating the determined direction or the determined distance, using an indicating device.

Navigation system using RFID tags and method

A method for providing service for users to determine assembly match information of components is proposed. The method makes use of computer programs of a communication equipment and cooperation of a database and tag information on the components to provide inquiry judgement and match decision of components for users, thereby accomplishing realtime match inquiry of components and also avoiding erroneous manual assembly. The method not only can provide related specification information of components, but also can provide suggestion for component schemes. If the assembly match information changes, update information of the remote database can be transmitted via the communication equipment to a read/write device to update assembly match information in tags on components.

Growing community of inventors

Hsinchu County, Taiwan

Leii H Chang