Cognex has been granted a patent for a system that detects movement in a scene. The system generates temporal pixel images based on sets of images, determines derived values from these images, and calculates correspondence data. It then determines whether there is a likelihood of motion in the scene based on the derived values and correspondence data. If motion is detected, the system can also predict the future position of the object. 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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According to GlobalData’s company profile on Cognex, AI-assisted repair estimation was a key innovation area identified from patents. Cognex's grant share as of September 2023 was 66%. Grant share is based on the ratio of number of grants to total number of patents.
The patent is granted for a system detecting movement in a scene
A recently granted patent (Publication Number: US11776137B2) describes a system and method for detecting movement of an object in a scene. The system includes a processor in communication with memory, which executes instructions to perform various tasks.
The system accesses a first set of images and a second set of images of a scene over time. It generates a first temporal pixel image and a second temporal pixel image based on the first and second sets of images, respectively. Each temporal pixel in these images represents a set of pixel values at an associated position from each image.
The system then determines one or more derived values based on the values of the temporal pixels in the first and second temporal pixel images. These derived values can include average data and deviation data for each temporal pixel.
Based on the derived values and the correspondence density, which indicates the relationship between identified correspondences between image points, the system determines whether there is a likelihood of motion of an object in the scene. If motion is likely, the system further determines the position of the object in the scene at a future time.
The method for detecting movement of an object in a scene follows a similar process. It involves accessing the first and second sets of images, generating the first and second temporal pixel images, determining derived values, calculating correspondence density, and determining the likelihood of motion and future position of the object.
The patent also mentions the use of light patterns projected onto the scene and different perspectives of the scene captured in the first and second sets of images.
Overall, this patent describes a system and method that utilize temporal pixel images and derived values to detect and track the movement of objects in a scene. The system can be implemented using a processor and memory, and the method can be executed by computer hardware processors.
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