Abstract: There are provided a system and method of defect detection on a specimen, the method comprising: performing partitioning for each of one or more portions of a first die; receiving one or more noise maps indicative of noise distribution on second images captured for one or more portions of a second die; performing segmentation for each noise map in runtime, the segmentation for a given noise map including: calculating a score for each region, the given noise map aligned with the regions and each region is associated with noise data aligned therein, the score for a given region calculated at least based on the noise data associated therewith; and associating each region with one segmentation label of a predefined set of segmentation labels indicative of noise levels based on the score, thereby obtaining a set of segments each corresponding to one or more regions associated with the same segmentation label.

Abstract: There are provided a system and method of defect detection on a specimen, the method comprising: performing partitioning for each of one or more portions of a first die; receiving one or more noise maps indicative of noise distribution on second images captured for one or more portions of a second die; performing segmentation for each noise map in runtime, the segmentation for a given noise map including: calculating a score for each region, the given noise map aligned with the regions and each region is associated with noise data aligned therein, the score for a given region calculated at least based on the noise data associated therewith; and associating each region with one segmentation label of a predefined set of segmentation labels indicative of noise levels based on the score, thereby obtaining a set of segments each corresponding to one or more regions associated with the same segmentation label.

Abstract: A method and system for enhancement of a readable media is disclosed and may include a housing configured to be removably attached to a readable media, a processor, a sensor coupled to the processor and connected to said housing wherein the sensor is adapted to sense a current position associated with the readable media by recognition with the processor of at least a part of the readable media, a memory storing therein an acoustic or other enhancement effects, an acoustic transducer, or a projector which reads out said acoustic enhancement into an acoustic stream or projects a visual effect and a memory storing therein an association between said enhancements and at least an indication of said position associated with the readable media.

Abstract: The present invention includes computer vision based driver assistance devices, systems, methods and associated computer executable code (hereinafter collectively referred to as: “ADAS”). According to some embodiments, an ADAS may include one or more fixed image/video sensors and one or more adjustable or otherwise movable image/video sensors, characterized by different dimensions of fields of view. According to some embodiments of the present invention, an ADAS may include improved image processing. According to some embodiments, an ADAS may also include one or more sensors adapted to monitor/sense an interior of the vehicle and/or the persons within. An ADAS may include one or more sensors adapted to detect parameters relating to the driver of the vehicle and processing circuitry adapted to assess mental conditions/alertness of the driver and directions of driver gaze. These may be used to modify ADAS operation/thresholds.

Abstract: The present invention includes computer vision based driver assistance devices, systems, methods and associated computer executable code (hereinafter collectively referred to as: “ADAS”). According to some embodiments, an ADAS may include one or more fixed image/video sensors and one or more adjustable or otherwise movable image/video sensors, characterized by different dimensions of fields of view. According to some embodiments of the present invention, an ADAS may include improved image processing. According to some embodiments, an ADAS may also include one or more sensors adapted to monitor/sense an interior of the vehicle and/or the persons within. An ADAS may include one or more sensors adapted to detect parameters relating to the driver of the vehicle and processing circuitry adapted to assess mental conditions/alertness of the driver and directions of driver gaze. These may be used to modify ADAS operation/thresholds.

Abstract: A method for measuring bi-directional similarity between a first signal of a first size and a second signal of a second size includes matching at least some patches of the first signal with patches of the second signal for data completeness, matching at least some patches of the second signal with patches of the first signal for data coherence, calculating the bi-directional similarity measure as a function of the matched patches for coherence and the matched patches for completeness and indicating the similarity between the first signal and the second signal. Another method generates a second signal from a first signal where the second signal is different than the first signal by at least one parameter. The method includes attempting to maximize a bi-directional similarity measure between the second signal and the first signal.

Abstract: A method and system for enhancement of a readable media is disclosed and may include a housing configured to be removably attached to a readable media, a processor, a sensor coupled to the processor and connected to said housing wherein the sensor is adapted to sense a current position associated with the readable media by recognition with the processor of at least a part of the readable media, a memory storing therein an acoustic or other enhancement effects, an acoustic transducer, or a projector which reads out said acoustic enhancement into an acoustic stream or projects a visual effect and a memory storing therein an association between said enhancements and at least an indication of said position associated with the readable media.

Abstract: A method for measuring bi-directional similarity between a first signal of a first size and a second signal of a second size includes matching at least some patches of the first signal with patches of the second signal for data completeness, matching at least some patches of the second signal with patches of the first signal for data coherence, calculating the bi-directional similarity measure as a function of the matched patches for coherence and the matched patches for completeness and indicating the similarity between the first signal and the second signal. Another method generates a second signal from a first signal where the second signal is different than the first signal by at least one parameter. The method includes attempting to maximize a bi-directional similarity measure between the second signal and the first signal.