Abstract: Disclosed is a measurement marking device for attachment onto a measuring tape or ruler; wherein the attached measurement marking device may slide/travel along the measuring tape or ruler, and set measurement(s) marking(s) onto the measured object at desired measurements/locations/sizes/lengths.

Abstract: Disclosed is a measurement marking device for attachment onto a measuring tape or ruler; wherein the attached measurement marking device may slide/travel along the measuring tape or ruler, and set measurement(s) marking(s) onto the measured object at desired measurements/locations/sizes/lengths.

Abstract: A method for calculating color temperature of light in a space includes obtaining a top view image of the space from an array of pixels; determining an area in the image and assigning weights to pixels from the array of pixels based on locations of the pixels relative to the determined area in the image. Color temperature in the space can be calculated based on the weighted pixels and color of light in the space can be modulated based on the calculated color temperature.

Abstract: Calculating ambient light in a space by obtaining a top view image of the space from an array of pixels, and identifying an object in the image and assigning weights to pixels from the array of pixels based on locations of the pixels relative to the identified object in the image, where object may include a reflective surface, where ambient light in the space is calculated based on the weighted pixels.

Abstract: Disclosed is a measurement marking device for attachment onto a measuring tape or ruler; wherein the attached measurement marking device may slide/travel along the measuring tape or ruler, and set measurement(s) marking(s) onto the measured object at desired measurements/locations/sizes/lengths.

Abstract: Calculating ambient light in a space by obtaining a top view image of the space from an array of pixels, and identifying an object in the image and assigning weights to pixels from the array of pixels based on locations of the pixels relative to the identified object in the image, where object may include a reflective surface, where ambient light in the space is calculated based on the weighted pixels.

Abstract: Methods and systems according to embodiments of the invention calculate ambient light in a space, where the method includes obtaining an image of the space from an array of pixels, defining a plurality of pixel groups in the image, calculating a representative pixel value for each of the pixel groups, and calculating ambient light in the space based on the pixels in the image, disregarding pixels from the pixel groups having the highest and lowest representative pixel values.

Abstract: A system and method for computer vision based tracking of a human form may include detecting a shape of an object in an image of a space and determining the probability of object having a human form shape based on movement of the object. If the probability of the object of being of a human form is above a predetermined threshold the object is tracked and if the probability is below the threshold then the tracking is terminated. Occupancy in the space may be determined based on the tracking of the object.

Abstract: Methods and systems according to embodiments of the invention calculate ambient light in a space, where the method includes obtaining an image of the space from an array of pixels, defining a plurality of pixel groups in the image, calculating a representative pixel value for each of the pixel groups, and calculating ambient light in the space based on the pixels in the image, disregarding pixels from the pixel groups having the highest and lowest representative pixel values.

Abstract: A method and system are provided for automatically determining occupancy in a space by obtaining rotation invariant data from at least one image from a sequence of images of the space; detecting a shape of an occupant in the at least one image based on the rotation invariant data; and determining occupancy based on the detection of the shape of the occupant.

Abstract: A system and method for computer vision based tracking of a human form may include detecting a shape of an object in an image of a space and determining the probability of object having a human form shape based on movement of the object. If the probability of the object of being of a human form is above a predetermined threshold the object is tracked and if the probability is below the threshold then the tracking is terminated. Occupancy in the space may be determined based on the tracking of the object.

Abstract: A system and method for computer vision based tracking of a human form may include receiving a sequence of images, the images including at least one object having a shape of a human form. A first selected feature is tracked from within the human form shaped object. Shape recognition algorithms are applied at a suspected location of the human form shaped object in an image from the sequence of images to detect a shape of a human form in the image and a second feature from within the detected shape of the human form is then selected and tracked, thereby providing verification and updating of the location of the human form shaped object.

Abstract: A system and method for computer vision based tracking of a human form may include receiving a sequence of images, the images including at least one object having a shape of a human form. A first selected feature is tracked from within the human form shaped object. Shape recognition algorithms are applied at a suspected location of the human form shaped object in an image from the sequence of images to detect a shape of a human form in the image and a second feature from within the detected shape of the human form is then selected and tracked, thereby providing verification and updating of the location of the human form shaped object.

Abstract: Disclosed is a measurement marking device for attachment onto a measuring tape or ruler; wherein the attached measurement marking device may slide/travel along the measuring tape or ruler, and set measurement(s) marking(s) onto the measured object at desired measurements/locations/sizes/lengths.