An apparatus is described that determines an estimated rotational speed of a rotating component of a machine in the absence of a reliable tachometer signal to indicate an actual rotational speed. The apparatus includes a processor that produces a spectral plot of the vibrational data, locates peaks in the spectral plot, and scans the spectral plot in predetermined rotational speed increments to provide candidate rotational speeds. For each candidate rotational speed, associated harmonics are identified, closest peaks in the spectral plot to the candidate rotational speed and its harmonics are located, gaps between the closest peaks and the candidate rotational speed and its harmonics are measured, and a sum of the gaps is recorded. The estimated rotational speed is the candidate rotational speed associated with a minimum sum of the gaps.

Disclosed is a system and method of two-way wireless-communication of vehicular status with one or more different recipient computer servers operated by one or more third parties to promote safer driving. The wireless-communication is based on the low-power, wide-area communication technology, particularly Random Phase Multiple Access (RPMA) communication network. The system consists of a device connected to an On-board diagnostics (OBD) port on the vehicle and onboard sensors whose data are locally processed to provide guidance to the driver. The device utilizes an audio unit, a display unit, and/or a combination thereof to warn about a potential hazard. The device further includes a plurality of sensors to sense the plurality of events. Further, On-Board AI connector, wherein the device communicates with external systems installed in the vehicle ex: camera or other sensor to record and/or analyze human behavior in detail and report drowsy driving, distracted driving, usage of mobile phones or other devices while driving etc. when the driver is recognized to be in one of these states the device plays an appropriate audio message to alert the driver.

Briefly, embodiments of one or more camera mounts for a radar gun assembly are disclosed. For example, one camera mount may be detachably attachable to a radar gun in a manner so that video of a scene is able to be concurrently captured by a main camera as the radar gun is to generate radar gun measurements with respect to the scene. Likewise, another camera mount may be detachably attachable to a radar gun in a manner so that video of an output display of the radar gun is able to be captured by a sub-camera as the radar gun is able to generate radar gun measurements with respect to a scene. Likewise, in an embodiment, another camera mount may be detachably attachable to a device having an output display to provide telemetry measurements, the mount may further be detachably attachable to the device in a manner so that video of an output display of the device is able to be captured as telemetry parameter measurements are to appear on the output display concurrently with a main camera being able to capture video of a scene.

A handheld or mountable air measuring device includes a sensor assembly with sensors that measure airspeed simultaneously in two directions that are perpendicular to each other. The device includes a data protocol conversion board allowing the communication between the sensor assembly and a smart device included with or associated with the device. The smart device receives the airspeed data. The smart device includes a user interface that includes a map or layout of the environment within which the device is used. The data is displayed on the smart device on the map. The data can be processed locally or transmitted to a remote location for processing. One or more dashboards are generated from the data and accessible by the smart device or another computing device.

Driving behavior for a particular driver may be gathered and analyzed over a time period, such as a year or a duration of the driver's employment at a particular employer. The driving behavior is received by a server from a positioning device as multiple streams of position data at different time stretches throughout the time period, each stream of position data associated with a route of a plurality of routes driven by at least one vehicle. The server generates speed data from the streams of position data and compares the speed data to retrieved speed limit data for those routes. The server generates a report with at least a speeding percentage value corresponding to how often the driver was speeding while driving during the time period. The report is then sent to the driver's computing device.

A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.

An omni-directional anemometer may include a housing, a cavity, and a plurality of ports in fluid communication with the atmosphere. The ports may include at least one sensor configured to measure air pressure. The robust housing may be formed by additive manufacturing, casting, machining, or molding. The anemometer may include a controller configured to determine wind speed and direction using the air pressure measurement signals from the at least one sensor. The anemometer may include a communication module configured to send and/or receive signals from the at least one sensor and the controller using wired and/or wireless communication. The communication module may send or receive signals to or from a network, a server, a vehicle, a structure, and/or a user interface. The anemometer may include a power supply connected to the at least one sensor, controller and/or communication module.

A system for detecting and avoiding dangerous conditions by a mobile machine having a body, an actuated machine component, and a dangerous condition sensor including a non-contact electrical power sensor, a wind speed or direction sensor, a tilt sensor, or a terrain type sensor is provided. The system includes a supervisory controller located in the mobile machine and in communication with a server for communicating data objects storing information related to hazardous conditions, and for receiving information regarding hazardous conditions manually designated or detected by a remote source. An interlock limits operation of the mobile machine to prevent operation in an unsafe condition. Hazardous conditions are categorized as a danger condition, a limited-operation condition, and/or a warning condition. A user signaling device including audio and visual signaling devices alert an operator of a hazard. A method of detecting and avoiding dangerous conditions by the mobile machine is also provided.

A method and system for detecting unsafe or suspect activities such as distracted driving associates distracted driving events to the road type, vehicle speed and vehicle acceleration (positive, negative and lateral) at the time of the distracted driving event, and identifies severe distracted driving events from a large population of minor events using a statistical distribution such as a Cauchy distribution equation. The system employs a smartphone application (App) coupled with a central server that computes driver safety scores which relate time of day, road type, vehicle speed, vehicle acceleration (positive, negative and lateral) and distracted driving using the Cauchy distribution equation. The server renders summary and detail reports of driving scores and distracted driving events to concerned parties including insurance companies, fleet managers, vehicle owners and the parents/guardians of teenaged drivers.