Methods and apparatus to measure mass in low gravity environments are disclosed. A disclosed example low-gravity mass-measuring apparatus includes a coupler to couple a coupling portion to an object, the coupling portion including a first inertial measurement unit (IMU), a force device to provide a force to cause a movement of a dock relative to the coupling portion, where the dock is releasably couplable to the coupling portion and includes a second IMU, and a processor to calculate a mass of the object based on movement data from the first and second IMUs and the force.

Methods and apparatus to measure mass in low gravity environments are disclosed. A disclosed example low-gravity mass-measuring apparatus includes a coupler to couple a coupling portion to an object, the coupling portion including a first inertial measurement unit (IMU), a force device to provide a force to cause a movement of a dock relative to the coupling portion, where the dock is releasably couplable to the coupling portion and includes a second IMU, and a processor to calculate a mass of the object based on movement data from the first and second IMUs and the force.

An apparatus for testing a fuel cap includes a gas manifold, a fuel cap connector, a base, and a removable cover. The gas manifold is configured to provide a bidirectional flow path through the fuel cap. The fuel cap connector is integrated with or coupled to the gas manifold, and the fuel cap connector is configured to connect the fuel cap to the gas manifold. The base is configured to support the gas manifold and provide at least a first gas input to the gas manifold and through the fuel cap via the bidirectional flow path. The removable cover is configured to be removably connected to the gas manifold and provide at least a second gas input to the gas manifold and through the fuel cap via the bidirectional flow path.

An apparatus for testing a fuel cap includes a gas manifold, a fuel cap connector, a base, and a removable cover. The gas manifold is configured to provide a bidirectional flow path through the fuel cap. The fuel cap connector is integrated with or coupled to the gas manifold, and the fuel cap connector is configured to connect the fuel cap to the gas manifold. The base is configured to support the gas manifold and provide at least a first gas input to the gas manifold and through the fuel cap via the bidirectional flow path. The removable cover is configured to be removably connected to the gas manifold and provide at least a second gas input to the gas manifold and through the fuel cap via the bidirectional flow path.

A system for automatically detecting an operational event for a bulk material hauler vehicle. The system includes a sensor mounted on the bulk material hauler vehicle, which is adapted for hauling a bulk material such as an aggregate. The system further includes a telematics system provided on the bulk material hauler vehicle. The telematics system includes a processor running software (or executing instructions or code) for detecting the operational event (e.g., providing functions of a load and unload detection module or discriminator as described herein). During vehicle operations, the sensor transmits sensor data to the telematics system, and the detecting of the operational event includes retrieving a signature definition for the operational event and then verifying the sensor data meets requirements of the signature definition. In some embodiments of the system, the operational event is loading the bulk material on or unloading the bulk material from the vehicle.

A system for automatically detecting an operational event for a bulk material hauler vehicle. The system includes a sensor mounted on the bulk material hauler vehicle, which is adapted for hauling a bulk material such as an aggregate. The system further includes a telematics system provided on the bulk material hauler vehicle. The telematics system includes a processor running software (or executing instructions or code) for detecting the operational event (e.g., providing functions of a load and unload detection module or discriminator as described herein). During vehicle operations, the sensor transmits sensor data to the telematics system, and the detecting of the operational event includes retrieving a signature definition for the operational event and then verifying the sensor data meets requirements of the signature definition. In some embodiments of the system, the operational event is loading the bulk material on or unloading the bulk material from the vehicle.

Assisted racking of digital resistance includes detecting a state of a cable. A motor is mechanically coupled to the cable to provide resistance during an exercise by tensioning the cable. It further includes determining completion of the exercise based at least in part on the detected state of the cable. It further includes selectively removing resistance from the cable based at least in part on the determination that the user has completed the exercise.

Various implementations described herein are directed to a non-transitory computer readable medium having stored thereon computer-executable instructions which, when executed by a computer, may cause the computer to receive a location, a date, a wind direction, a water temperature, a species, or combinations thereof. The computer may use the location, date, wind direction, water temperature, species, or combinations thereof to retrieve fishing data. The computer may analyze the retrieved fishing data to determine one or more suggested fishing locations.

A system and method for estimating livestock weight is described. Embodiments of the system can include a computing device and a three-dimensional tag configured to be secured to an animal. One or more images of an animal, including the three-dimensional tag, can be processed to take various measurements of the animal. A scaling factor for the measurements can be based on the three-dimensional tag. After the measurement are calibrated, a weight of the animal can be estimated based on the calibrated measurements.

A system and method for estimating livestock weight is described. Embodiments of the system can include a computing device and a three-dimensional tag configured to be secured to an animal. One or more images of an animal, including the three-dimensional tag, can be processed to take various measurements of the animal. A scaling factor for the measurements can be based on the three-dimensional tag. After the measurement are calibrated, a weight of the animal can be estimated based on the calibrated measurements.