Cognex had nine patents in future of work during Q2 2024. Cognex Corp’s patents in Q2 2024 focus on a system and method for accurately measuring objects larger than the field of view of a sensor by tracking features/edges and capturing sequential images. The system includes a transport device moving objects with planar surfaces in a known plane around a viewing area, with a controller stitching sequential images to generate a complete image for dimensioning purposes. GlobalData’s report on Cognex gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Cognex had no grants in future of work as a theme in Q2 2024.
Recent Patents
Application: System and method for three-dimensional scan of moving objects longer than the field of view (Patent ID: US20240177260A1)
The patent filed by Cognex Corp. describes a system and method for using an area scan sensor in a vision system to accurately measure the dimensions of an object larger than the sensor's field of view (FOV). By tracking features of the object from image to image as it moves through the FOV, the system captures a sequence of images and combines them to determine the overall dimensions of the object. The system automatically determines if the object is longer than the FOV and acquires image snapshots while the object is within the FOV, stopping when the object exits the FOV. The dimensions of the object are derived based on the aggregate feature data from the images, allowing for tasks such as object classification, dimensioning, skew correction, and volume calculation to be performed based on the input application details.
The vision system includes a 3D camera assembly acting as an area scan sensor, a dimensioning processor, a presence detector, and an image processor. The dimensioning processor measures the overall length of the object based on motion tracking information and 3D images acquired in sequence. The presence detector signals the presence of the object in the FOV, allowing the system to determine if the object spans multiple images and if it is longer than the FOV. The image processor combines feature data from consecutive image acquisitions to determine the object's dimensions accurately, without the need to merge individual images into a single image. Additionally, the system can perform tasks such as object handling, object rejection, and skew correction based on the derived overall attributes of the object.
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