Abstract: A device may process the surveillance video data to segment vehicles, and may utilize a segmentation guided attention network model with the vehicles to determine traffic density count data. The device may process an image segmentation map, with a regression analysis model, to derive traffic signal timing. The device may process the surveillance video data, with a deep learning model, to identify objects, and may utilize a YOLO model, with the objects, to determine object types. The device may utilize a curriculum loss model with the objects to determine crowd count data, and may process the surveillance video data, with a video analytics model, to identify first events. The device may process the surveillance video data, with a classifier and deep network models, to identify second events, and may process the determined information, with a dynamic text-based explanation model, to generate a text-based explanation and/or a failure prediction.

Abstract: This invention provides a method of dynamic cell tracking in a sample comprising the steps of, generating a correspondence measure between cells in two consecutive time-elapsed images of a sample, evaluating said correspondence measure to generate events linking individual cells in the two images, the events being selected from the group: unchanged, cell removal, cell migration, cell collision and cell division, and providing a tracking output of events linking individual cells in the two images. In the invention, the step of establishing linking events involves verifying the correctness of generated cell collision and cell division events, by calculating an adaptive threshold value for each such event and comparing the threshold value with an event parameter. There is further provided a system for dynamic cell tracking in a sample.

Abstract: The present invention is directed to method and system for image processing of test wells on a microplates wherein the microplates' test well wall boundaries are identified through the use of a candidate edge image wherein the candidate edge image represents locations of one or more segments of the wall boundaries.

Abstract: This invention provides a method of dynamic cell tracking in a sample comprising the steps of, generating a correspondence measure between cells in two consecutive time-elapsed images of a sample, evaluating said correspondence measure to generate events linking individual cells in the two images, the events being selected from the group: unchanged, cell removal, cell migration, cell collision and cell division, and providing a tracking output of events linking individual cells in the two images. In the invention, the step of establishing linking events involves verifying the correctness of generated cell collision and cell division events, by calculating an adaptive threshold value for each such event and comparing the threshold value with an event parameter. There is further provided a system for dynamic cell tracking in a sample.

Abstract: The present invention is directed to method and system for image processing of test wells on a microplates wherein the microplates' test well wall boundaries are identified through the use of a candidate edge image wherein the candidate edge image represents locations of one or more segments of the wall boundaries.