Abstract: Various automated techniques are disclosed herein for monitoring and assessing real-time and future operational and health statuses of real-world assets (e.g., physical devices, components, equipment, structures, buildings, machines, infrastructure, piping systems, etc.). A monitoring system incorporates the use of intelligent Monitoring Devices for monitoring pipe systems and/or other infrastructure for leaks/issues using IoT devices and machine learning. One or more Monitoring Device(s) are attached to specific physical equipment/structure(s) to be monitored A Monitoring Device performs comprehensive field data gathering. The collected field data is used to train a customized ML model, which is stored locally in that Monitoring Device.

Abstract: A stroboscopic device, comprising: a camera for acquiring video frames; a light source; and at least one hardware processor; and software that is configured to, when executed by the at least one hardware processor, acquire a sequence of video frames via the camera, convert the frames from RGB to grayscale, for a first and second frame in the sequence of video frames, compute the dense optical flow field between the two frames, wherein the optical flow field contains a flow vector for each pixel in each of the first and second frames, indicating the motion of that pixel from the first frame to the second frame, calculate the average magnitude (Average Optical Flow or AOF) of all flow vectors for each pixel in the first and second frames, compare the AOF to a threshold, and store a result based on the comparison, repeat the process for all frames in the sequence of video frames, determine whether a stroboscopic effect has been achieved based on the store results, control the activation of the light source until

Abstract: A stroboscopic device, comprising: a camera for acquiring video frames; a light source; and at least one hardware processor; and software that is configured to, when executed by the at least one hardware processor, acquire a sequence of video frames via the camera, convert the frames from RGB to grayscale, for a first and second frame in the sequence of video frames, compute the dense optical flow field between the two frames, wherein the optical flow field contains a flow vector for each pixel in each of the first and second frames, indicating the motion of that pixel from the first frame to the second frame, calculate the average magnitude (Average Optical Flow or AOF) of all flow vectors for each pixel in the first and second frames, compare the AOF to a threshold, and store a result based on the comparison, repeat the process for all frames in the sequence of video frames, determine whether a stroboscopic effect has been achieved based on the store results, control the activation of the light source until

Abstract: Devices, systems and methods for leak detection are provided herein. Also provided are devices, systems and methods for monitoring and/or measuring fluid usage. In some aspects, a system comprising a sensor, a processing system, and a platform are provided. In some aspects, the sensor may be coupled to a spinning device. The sensor can be configured to detect fluid data, which can comprise, for example, displacement data of liquid and/or movement data associated with the liquid in a container and/or flow data associated with a flow of fluid in a conduit. The processing system can be coupled with the sensor and configured to communicate the fluid data. The platform can comprise an application communicatively coupled to one or more databases storing evaluation data (e.g., known pattern data) and configured to receive the fluid data and determine if there is a leak.

Abstract: Devices, systems and methods for leak detection/identification are provided herein. Also provided are devices, systems and methods for monitoring and/or measuring fluid usage. In some aspects, a system comprising a sensor, a processing system, and a platform are provided. In some aspects, the sensor may be coupled to a spinning device. The sensor can be configured to detect fluid data, which can comprise, for example, displacement data of liquid and/or movement data associated with the liquid in a container and/or flow data associated with a flow of fluid in a conduit. The processing system can be coupled with the sensor and configured to communicate the fluid data. The platform can comprise an application communicatively coupled to one or more databases storing evaluation data (e.g., known pattern data) and configured to receive the fluid data and determine if there is a leak.

Abstract: A stroboscopic device, comprising: a camera for acquiring video frames; a light source; and at least one hardware processor; and software that is configured to, when executed by the at least one hardware processor, generating synthetic video frames of an object, providing real video frames of the object and the synthetic video frames to a discriminator configured to detect the difference between the real video frames from the synthetic video frames, using feedback from the discriminator to generate further synthetic video frames, providing real video frames of the object and the further synthetic video frames to the discriminator and repeating until a convergence point is achieved where the discriminator can't reliably tell the real video frames from the synthetically generated video frames, generating a data set comprising synthetic video frames and real vide frames of the object, using the data set to train a model, acquire a sequence of video frames via the camera, for a first and second frame in the seque

Abstract: Devices, systems and methods for leak detection/identification are provided herein. Also provided are devices, systems and methods for monitoring and/or measuring fluid usage. In some aspects, a system comprising a sensor, a processing system, and a platform are provided. In some aspects, the sensor may be coupled to a spinning device. The sensor can be configured to detect fluid data, which can comprise, for example, displacement data of liquid and/or movement data associated with the liquid in a container and/or flow data associated with a flow of fluid in a conduit. The processing system can be coupled with the sensor and configured to communicate the fluid data. The platform can comprise an application communicatively coupled to one or more databases storing evaluation data (e.g., known pattern data) and configured to receive the fluid data and determine if there is a leak.

Abstract: Devices, systems and methods for leak detection are provided herein. Also provided are devices, systems and methods for monitoring and/or measuring fluid usage. In some aspects, a system comprising a sensor, a processing system, and a platform are provided. In some aspects, the sensor may be coupled to a spinning device. The sensor can be configured to detect fluid data, which can comprise, for example, displacement data of liquid and/or movement data associated with the liquid in a container and/or flow data associated with a flow of fluid in a conduit. The processing system can be coupled with the sensor and configured to communicate the fluid data. The platform can comprise an application communicatively coupled to one or more databases storing evaluation data (e.g., known pattern data) and configured to receive the fluid data and determine if there is a leak.

Abstract: Devices, systems and methods for leak detection are provided herein. Also provided are devices, systems and methods for monitoring and/or measuring fluid usage. In some aspects, a system comprising a sensor, a processing system, and a platform are provided. In some aspects, the sensor may be coupled to a spinning device. The sensor can be configured to detect fluid data, which can comprise, for example, displacement data of liquid and/or movement data associated with the liquid in a container and/or flow data associated with a flow of fluid in a conduit. The processing system can be coupled with the sensor and configured to communicate the fluid data. The platform can comprise an application communicatively coupled to one or more databases storing evaluation data (e.g., known pattern data) and configured to receive the fluid data and determine if there is a leak.