Patent application number | Description | Published |
20090210032 | MANUFACTURING METHODS, TESTING METHODS, AND TESTERS FOR INTRA-ORAL ELECTRONICALLY EMBEDDED DEVICES - The invention is directed to manufacturing and testing methods of electronic intraoral devices for diagnose, monitor and treat local and systemic diseases and conditions for humans and animals. More specifically, the current invention deals with manufacturing techniques, testing methods and a testing apparatus of mainly three types of intra-oral devices: (a) electro-stimulators for various applications such as treatment of dry mouth by stimulating saliva secretion, apnea, sleeping disorders, eating disorders (obesity, anorexia, etc.) dysphagia and others, (b) drug delivery devices; and (c) bio-sensing and monitoring devices. The common parts or the devices are: (1) art electronic module embedded in the device: (2) or a power source being embedded in the device; (3) the devices (or part of them) being placed in the oral cavity. | 08-20-2009 |
20110076636 | DEVICE AND METHOD FOR DENTAL WHITENING - Embodiments of the invention provide a portable dental whitening device. The device comprises a flexible mouthpiece including a bite platform having a horseshoe shape adapted to receive a plurality of mouth shapes. The mouthpiece comprising at least one lighting element for generating light, at least one heating element for generating heat, a flexible printed circuit board, and at least one temperature sensor for detecting the temperature of the heat generated by the at least one heating elements. Further, the device comprises a control unit for selectively powering said lighting element and said heating element. The dental whitening is achieved by applying simultaneously the light and the heat and the chemical activity delivered by a whitening agent provided in the mouthpiece. | 03-31-2011 |
Patent application number | Description | Published |
20090161964 | Detecting Objects In An Image Being Acquired By A Digital Camera Or Other Electronic Image Acquisition Device - The likelihood of a particular type of object, such as a human face, being present within a digital image, and its location in that image, are determined by comparing the image data within defined windows across the image in sequence with two or more sets of data representing features of the particular type of object. The evaluation of each set of features after the first is preferably performed only on data of those windows that pass the evaluation with respect to the first set of features, thereby quickly narrowing potential target windows that contain at least some portion of the object. Correlation scores are preferably calculated by the use of non-linear interpolation techniques in order to obtain a more refined score. Evaluation of the individual windows also preferably includes maintaining separate feature set data for various positions of the object around one axis and rotating the feature set data with respect to the image data for the individual windows about another axis. | 06-25-2009 |
20130243241 | METHOD, APPARATUS, AND MANUFACTURE FOR SMILING FACE DETECTION - A method, apparatus, and manufacture for smiling face detection is provided. For each frame, a list of new smiling faces for the frame is generated by performing smiling face detection employing an object classifier that trained is to distinguish between smiling faces and all objects in the frame that are not smiling faces. For the first frame, the list of new smiling faces is employed as an input smiling face list for the next frame. For each frame after the first frame, a list of tracked smiles for the frame is generated by tracking smiling faces in the frame from the input smiling list for the frame. Further, a list of new smiling faces is generated for the next frame by combining the list of new smiling faces for the frame with the list of tracked smiles for the frame. | 09-19-2013 |
Patent application number | Description | Published |
20090185058 | APPARATUS AND METHOD FOR NOISE REDUCTION WITH 3D LUT - A device for noise reduction is provided. The device includes a noise reduction three-dimensional look-up table (LUT) and a noise reduction unit. The noise reduction LUT transforms an input image into a noise reduction factor and noise reduction threshold for each color component of each pixel of the input image. The noise reduction unit performs noise reduction on the input image based on the noise reduction factors and noise reduction thresholds determined from the noise reduction LUT. | 07-23-2009 |
20100021008 | System and Method for Face Tracking - Improved face tracking is provided during determination of an image by an imaging device using a low power face tracking unit. In one embodiment, image data associated with a frame and one or more face detection windows from a face detection unit may be received by the face tracking unit. The face detection windows are associated with the image data of the frame. A face list may be determined based on the face detection windows and one or more faces may be selected from the face list to generate an output face list. The output face list may then be provided to a processor of an imaging device for the detection of an image based on at least one of coordinate and scale values of the one or more faces on the output face list. | 01-28-2010 |
20110205387 | DETECTING OBJECTS IN AN IMAGE BEING ACQUIRED BY A DIGITAL CAMERA OR OTHER ELECTRONIC IMAGE ACQUISITION DEVICE - The likelihood of a particular type of object, such as a human face, being present within a digital image, and its location in that image, are determined by comparing the image data within defined windows across the image in sequence with two or more sets of data representing features of the particular type of object. The evaluation of each set of features after the first is preferably performed only on data of those windows that pass the evaluation with respect to the first set of features, thereby quickly narrowing potential target windows that contain at least some portion of the object. Correlation scores are preferably calculated by the use of non-linear interpolation techniques in order to obtain a more refined score. Evaluation of the individual windows also preferably includes maintaining separate feature set data for various positions of the object around one axis and rotating the feature set data with respect to the image data for the individual windows about another axis. | 08-25-2011 |
20130128071 | DETECTING OBJECTS IN AN IMAGE BEING ACQUIRED BY A DIGITAL CAMERA OR OTHER ELECTRONIC IMAGE ACQUISITION DEVICE - The likelihood of a particular type of object, such as a human face, being present within a digital image, and its location in that image, are determined by comparing the image data within defined windows across the image in sequence with two or more sets of data representing features of the particular type of object. The evaluation of each set of features after the first is preferably performed only on data of those windows that pass the evaluation with respect to the first set of features, thereby quickly narrowing potential target windows that contain at least some portion of the object. Correlation scores are preferably calculated by the use of non-linear interpolation techniques in order to obtain a more refined score. Evaluation of the individual windows also preferably includes rotating the feature set data with respect to the image data for the individual windows about another axis. | 05-23-2013 |
20150086075 | SYSTEM AND METHOD FOR FACE TRACKING - Improved face tracking is provided during determination of an image by an imaging device using a low power face tracking unit. In one embodiment, image data associated with a frame and one or more face detection windows from a face detection unit may be received by the face tracking unit. The face detection windows are associated with the image data of the frame. A face list may be determined based on the face detection windows and one or more faces may be selected from the face list to generate an output face list. The output face list may then be provided to a processor of an imaging device for the detection of an image based on at least one of coordinate and scale values of the one or more faces on the output face list. | 03-26-2015 |