Applied Materials Israel Limited

Ants Technology (hk) Limited

Denis Simakov

Ilya Blayvas

Ron Fridental

Elad Cohen

Pavel Nosko

Gal Perets

Alex Rosen

Oranit Dror

Ophir Gvirzer

Masha Zeldin

Mica Arie Nachimson

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.

Method of defect detection on a specimen and system thereof

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.

Computer vision based driver assistance devices, systems, methods and associated computer executable code

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Rehovot, Israel

Denis Simakov