In accordance with the present disclosure, voltage sensing techniques using a voltage sensing device are employed to identify sources of electromagnetic radiation and provide warnings to a user about high levels of electromagnetic radiation. By way of example, the voltage sensing device may be a wearable device and may provide auditory, visual, and tactile alerts to a user.

A sensor device for detecting voltage in a conductor cable includes a sense electrode to be disposed over a surface of the conductor cable to cover a sense region having a sense axial width and a sense circumferential length and a reference electrode to be disposed over the surface of the conductor cable to cover a reference region. The reference region has an axial position adjacent the axial position of the sense region and has a reference circumferential length greater than the sense circumferential length. The sensor device further includes a charge measurement circuit connected in series between the sense electrode and the reference electrode to measure a charge measurement and circuitry to compare the charge measurement to a threshold to detect a presence of the voltage in the conductor cable.

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.

Methods, systems and apparatus, for an unmanned aerial vehicle electromagnetic avoidance and utilization system. One of the methods includes obtaining a flight package indicating a flight pattern associated with inspecting a structure, the flight pattern causing the UAV to remain at a standoff distance from the structure, wherein the standoff distance is based on an electromagnetic field associated with the structure, and wherein the flight pattern is laterally constrained according to a property geofence associated with a right of way of the structure. The UAV is navigated according to the flight pattern, and the UAV captures images of the structure. For an initial portion of the flight pattern, the UAV navigates at an altitude based on the standoff distance and the property geofence towards the structure. The UAV determines a location at which to capture images of the structure, and the UAV provides the captured images to a user device.

The present invention provides a filter which is configured to filter frequencies created by noise outside of the band of interest and to then amplify the filtered signal to allow a weaker signal to be used for guidance. According to a first preferred embodiment, the filter of the present invention includes a 5th order active high pass filter cascaded with a 5th order active low pass filter. According to a further preferred embodiment, the filter of the present invention preferably provides a cutoff of frequencies below 700 Hz and above 1500 Hz. According to a further preferred embodiment, the filter of the present invention further uses a voltage amplifying circuit to amplify the filtered signal.

Aspects of the present invention include a system and method for differentiating one or more objects detected behind an opaque surface, comprising, a plurality of sensors, controlled by one or more processors, configured to collect in parallel, sensor data of the one or more objects behind an opaque surface, the one or more processors are configured to analyze the sensor data to identify estimated regions of the one or more objects behind the opaque surface, the one or more processors are further configured to differentiate the estimated regions of the one or more objects behind the opaque surface, and, the one or more processors are further configured to inform a user, via a user interface, of the one or more objects within the estimated regions behind the opaque surface.

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.

A transmission line monitoring system and central processing facility are used to determine the geometry, such as a height, of one or more conductors of a power transmission line and real-time monitoring of other properties of the conductors.

A transmission line monitoring system and central processing facility are used to determine the geometry, such as a height, of one or more conductors of a power transmission line and real-time monitoring of other properties of the conductors.

In a wireless charging system, a power-transmitting node (TX) has a power transmitter for transmitting power wirelessly to a power-receiving node (RX), a sampling and sensing circuit, a processor, and a signal receiver for receiving signals from the RX. The processor detects the presence of a foreign object (FO) during a power-transfer session using Quality Factor (QF) values. Estimated QF parameters are determined via exponential curve fitting using peak values of a damped sinusoidal waveform generated by a resonant circuit. Then the estimated parameters in the exponential curve are used to calculate the QF, which provides a robust measurement result even in a noisy environment.