Abstract: A process mining system performs process mining using visual logs generated from video streams of worker devices. Specifically, for a given worker device, the process mining system obtains a series of images capturing a screen of a worker device while the worker device processes one or more tasks related to an operation process. The process mining system determines activity labels for a plurality of images. An activity label for an image may indicate an activity performed on the worker device when the image was captured. The activity label is determined by extracting information from pixels of the image and inferring the activity of the worker device from the extracted information. The process mining system generates event logs from the visual logs of worker devices and uses the event logs for process mining.

Abstract: A process mining system performs process mining using visual logs generated from video streams of worker devices. Specifically, for a given worker device, the process mining system obtains a series of images capturing a screen of a worker device while the worker device processes one or more tasks related to an operation process. The process mining system determines activity labels for a plurality of images. An activity label for an image may indicate an activity performed on the worker device when the image was captured. The activity label is determined by extracting information from pixels of the image and inferring the activity of the worker device from the extracted information. The process mining system generates event logs from the visual logs of worker devices and uses the event logs for process mining.

Abstract: A process mining system performs process mining using visual logs generated from video streams of worker devices. Specifically, for a given worker device, the process mining system obtains a series of images capturing a screen of a worker device while the worker device processes one or more tasks related to an operation process. The process mining system determines activity labels for a plurality of images. An activity label for an image may indicate an activity performed on the worker device when the image was captured. The activity label is determined by extracting information from pixels of the image and inferring the activity of the worker device from the extracted information. The process mining system generates event logs from the visual logs of worker devices and uses the event logs for process mining.

Abstract: A process mining system performs process mining using visual logs generated from video streams of worker devices. Specifically, for a given worker device, the process mining system obtains a series of images capturing a screen of a worker device while the worker device processes one or more tasks related to an operation process. The process mining system determines activity labels for a plurality of images. An activity label for an image may indicate an activity performed on the worker device when the image was captured. The activity label is determined by extracting information from pixels of the image and inferring the activity of the worker device from the extracted information. The process mining system generates event logs from the visual logs of worker devices and uses the event logs for process mining.

Abstract: A process mining system performs process mining using visual logs generated from video streams of worker devices. Specifically, for a given worker device, the process mining system obtains a series of images capturing a screen of a worker device while the worker device processes one or more tasks related to an operation process. The process mining system determines activity labels for a plurality of images. An activity label for an image may indicate an activity performed on the worker device when the image was captured. The activity label is determined by extracting information from pixels of the image and inferring the activity of the worker device from the extracted information. The process mining system generates event logs from the visual logs of worker devices and uses the event logs for process mining.

Abstract: A method to reduce the amount of irrigation water wherein the device is made of combusted product in cylinder shape (the device) made of biomass at 4 cm./6 cm./8 cm. diameter to be inserted in various depths, sizes/length under the source of water irrigation in proximity to tree or plant and in different numbers according to the season. The device has ability to absorb and store irrigation water in high capacity up to 300% in higher quantity than soil ground making it as sustainable source to supply the roots of a tree or plant by water in areas which suffer from shortfall of rain, with poor type of soil and depletion of underground water reservoir. The device will absorb water and make the surrounding soil constantly moisture and wet by allowing diffusion of water from device.

Abstract: A method to reduce the amount of irrigation water wherein the device is made of combusted product in cylinder shape (the device) made of biomass at 4 cm./6 cm./8 cm. diameter to be inserted in various depths, sizes/length under the source of water irrigation in proximity to tree or plant and in different numbers according to the season. The device has ability to absorb and store irrigation water in high capacity up to 300% in higher quantity than soil ground making it as sustainable source to supply the roots of a tree or plant by water in areas which suffer from shortfall of rain, with poor type of soil and depletion of underground water reservoir. The device will absorb water and make the surrounding soil constantly moisture and wet by allowing diffusion of water from device.