Patents by Inventor Amir Zahavi

Amir Zahavi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method for automatic detection and classification of objects and patterns in low resolution environments
    Patent number: 7970212
    Abstract: The invention is a method of using Wavelet Transformation and Artificial Neural Network (ANN) systems for automatic detecting and classifying objects. To train the system in object recognition different images, which usually contain desired objects alongside other objects are used. These objects may appear at different angles. Different characteristics regarding the objects are extracted from the images and stored in a data bank. The system then determines the extent to which each inserted characteristic will be useful in future recognition and determines its relative weight. After the initial insertion of data, the operator tests the system with a set of new images, some of which contain the class objects and some of which contain similar and/or dissimilar objects of different classification.
    Type: Grant
    Filed: November 30, 2006
    Date of Patent: June 28, 2011
    Inventors: Amir Zahavi, Shai Nissim
  • Method for Automatic Detection and Classification of Objects and Patterns in Low Resolution Environments
    Publication number: 20080285856
    Abstract: The invention is a method of using Wavelet Transformation and Artificial Neural Network (ANN) systems for automatic detecting and classifying objects. To train the system in object recognition different images, which usually contain desired objects alongside other objects are used. These objects may appear at different angles. Different characteristics regarding the objects are extracted from the images and stored in a data bank. The system then determines the extent to which each inserted characteristic will be useful in future recognition and determines its relative weight. After the initial insertion of data, the operator tests the system with a set of new images, some of which contain the class objects and some of which contain similar and/or dissimilar objects of different classification.
    Type: Application
    Filed: November 30, 2006
    Publication date: November 20, 2008
    Inventors: Amir Zahavi, Shai Nissim