There is disclosed a self-powered apparatus for measuring precipitation, comprising: a housing; a display unit including one or more display lights capable of displaying an amount of precipitation, wherein the display lights are formed on at least one of outer surfaces of the housing; a water collecting vessel, having a funnel-shaped space to which the precipitation is introduced and gathered at a vertex part of the funnel-shaped space; a cup module, having an accommodating space for accommodating the precipitation dropped from the vertex part of the funnel-shaped space of the water collecting vessel; an electric signaling unit; a guiding module; a self-powered generator; and a final drainage opening, formed at a lower part of the housing.

An example wear detection system receives first image data related to at least one ground engaging tool (GET) of a work machine from one or more sensors at a first time instance in a dig-dump cycle of the work machine. The wear detection system processes the first image data to determine a first wear measurement and first wear level for the at least one GET. The wear detection system determines whether the first wear level is indicative of a GET replacement condition. The wear detection system generates an alert when the first wear level is indicative of the GET replacement condition. The wear detection system receives second image data related to the at least one GET a second time instance different from the first time instance when the first wear level is not indicative of the GET replacement condition and determines a second wear measurement and second wear level for the at least one GET. The wear detection system generates an alert indicative of the first wear level and the second wear level based on determining that the first wear level and the second wear level are indicative of the GET replacement condition.

A hierarchical early-warning system for landslide probability issues a first level warning based on measured rainfall amounts exceeding a determined threshold, a second level warning, after the first level warning, based additionally on measured soil moisture content measured at different levels, and Factor of safety derived from forecasted pore pressure (FPP) each exceeding a determined threshold, a third level warning, after the first and the second level warnings, based additionally on ground movement measurements compared to a determined threshold, and a fourth level warning after the first, second and third level warnings, based additionally on data from movement-based sensors including strain gauge data.

A system for sound localization can include a first electronic device having a microphone to detect a sound, and a second electronic device. A processor can be in communication with the first electronic device and the second electronic device. The processor can receive a first signal from the first electronic device corresponding to the detected sound, determine a location of origin of the detected sound based at least in part on the first signal, and provide a second signal to the second electronic device based at least in part on the location of origin.

Embodiments for managing real-time alerts using machine learning are disclosed. For example, a method includes receiving real-time data for one or more parameters of a device for which an alert is to be generated, from one or more sources associated with the device, and selecting a first machine learning model from a plurality of machine learning models based on the received real-time data. The method further includes determining at least one anomaly in the device based on the selected first machine learning model and predicting an impact of the determined at least one anomaly based on a second machine learning model of the plurality of machine learning models. Furthermore, the method includes generating the alert for the device in real-time based on the predicted impact of the determined at least one anomaly and receiving feedback on the generated alert in real-time.

Systems, methods, and apparatuses are disclosed for overcoming latency and loss of signal detection in remote control displays. An exemplary system includes a remote control, a host computing device, and one or more target systems communicatively coupled to each other over a wired and/or wireless network. One method includes receiving, by the remote control and from a host computing device, a first video frame captured by a target device, determining a first time corresponding to receipt of the first video frame, receiving, from the host computing device, a second video frame, determining a second time corresponding to receipt of the second video frame, comparing the time difference to a latency threshold, and causing an alert graphic element to be displayed indicating a latency in communication.

An apparatus and a method for state detection, the apparatus for state detection includes one or more charge sensing elements arranged on a terminal, a charge collection circuit connected to the charge sensing element, and a state detection module connected to the charge collection circuit, the charge collection circuit is configured to generate charge and radiate the charge out through the charge sensing element, and collect reflected charge from each of the charge sensing elements to generate an induced charge value of the charge sensing element, and output the induced charge value of each of the charge sensing elements to the state detection module; the state detection module is configured to determine a state of the terminal according to the induced charge value.

An energy detection warning device includes a housing. An electronic indication component is disposed within the housing. One or more sensors are disposed within the housing and are configured to detect an energized conductor present within a particular proximity of a location of the energy detection warning device, and detect a direction in which the energized conductor is located with respect to the location of the energy detection warning device. The direction is an approximate direction. The device also includes a microcontroller configured to: receive input from the one or more sensors, and actuate the electronic indication component, in response to receipt of the input, to indicate the direction in which the energized conductor is located with respect to the location of the energy detection warning device.

An alarm detection device includes: a sound receiver for receiving an external sound to output a first signal; a signal processing circuit coupled to the sound receiver, for receiving the first signal to output a second signal; and an alarm decision circuit coupled to the signal processing circuit, during a time range, when a number of the second signals meeting a trigger criteria is equal to a predetermined value, the alarm decision circuit outputting an alarm signal.

Systems and methods include an image capture component configured to capture infrared images of a scene, and a logic device configured to identify a target in the images, acquire temperature data associated with the target based on the images, evaluate the temperature data and determine a corresponding temperature classification, and process the identified target in accordance with the temperature classification. The logic device identifies a person and tracks the person across a subset of the images, identify a measurement location for the target in a subset of the images based on target feature points identified by a neural network, and measure a temperature of the location using corresponding values from one or more captured thermal images. The logic device is further configured calculate a core body temperature of the target using the temperature data to determine whether the target has a fever and calibrate using one or more black bodies.