Patent classifications
G01P15/18
BIN SENSOR
A method comprises emitting detection radiation into a container; receiving a reflection of the emitted radiation from contents of the container; interpreting the received reflection to determine the contents of the container.
BIN SENSOR
A method comprises emitting detection radiation into a container; receiving a reflection of the emitted radiation from contents of the container; interpreting the received reflection to determine the contents of the container.
ZERO-POINT CALIBRATION METHOD, DEVICE, AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM
This application discloses a vector sensor zero-point calibration method, device, and, apparatus, an electronic device, and a non-volatile computer-readable storage medium. The calibration method includes: acquiring reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M.sub.0 of the vector sensor according to the reference data; acquiring original data R.sub.k of any vector measured by the vector sensor; and acquiring valid data V.sub.k according to the zero-point offset M.sub.0 and the original data R.sub.k. With the calibration method in this application, the valid data V.sub.k is obtained after a zero-point error of the original data R.sub.k is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.
ZERO-POINT CALIBRATION METHOD, DEVICE, AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM
This application discloses a vector sensor zero-point calibration method, device, and, apparatus, an electronic device, and a non-volatile computer-readable storage medium. The calibration method includes: acquiring reference data during two measurements of a reference vector performed by a vector sensor; acquiring a zero-point offset M.sub.0 of the vector sensor according to the reference data; acquiring original data R.sub.k of any vector measured by the vector sensor; and acquiring valid data V.sub.k according to the zero-point offset M.sub.0 and the original data R.sub.k. With the calibration method in this application, the valid data V.sub.k is obtained after a zero-point error of the original data R.sub.k is eliminated, which is more closely approximated to an actual value of a to-be-measured vector.
MOBILITY MOVEMENNT INFORMATION ACQUIRING METHOD AND MOBILITY MOVEMENT INFORMATION ACQUIRING APPARATUS
A mobility movement information acquiring method has: acquiring an observed velocity value of a mobility according to a first interval; storing the observed velocity value and corresponding time information so as to relate each other; and acquiring an acceleration value in a travelling direction by inputting the observed velocity value into a state-space model in which: displacement per unit time of a state velocity value is the acceleration value in the travelling direction, the observed velocity value is a sum of the state velocity value and a value following a first distribution, and displacement per the unit time of the acceleration value in the travelling direction follows a second distribution.
MOBILITY MOVEMENNT INFORMATION ACQUIRING METHOD AND MOBILITY MOVEMENT INFORMATION ACQUIRING APPARATUS
A mobility movement information acquiring method has: acquiring an observed velocity value of a mobility according to a first interval; storing the observed velocity value and corresponding time information so as to relate each other; and acquiring an acceleration value in a travelling direction by inputting the observed velocity value into a state-space model in which: displacement per unit time of a state velocity value is the acceleration value in the travelling direction, the observed velocity value is a sum of the state velocity value and a value following a first distribution, and displacement per the unit time of the acceleration value in the travelling direction follows a second distribution.
Systems and methods for associating a telematics device with an asset tracker
An asset tracker deployed in an engineless vehicle and a telematics device coupled to a vehicle both send location updates to a telematics server. The asset tracker sends location updates at a faster rate upon leaving a shipping yard, for example. The telematics server associates the vehicle and engineless vehicles, determines whether they are travelling together, and sends a notification when they are not supposed to be travelling together.
Systems and methods for associating a telematics device with an asset tracker
An asset tracker deployed in an engineless vehicle and a telematics device coupled to a vehicle both send location updates to a telematics server. The asset tracker sends location updates at a faster rate upon leaving a shipping yard, for example. The telematics server associates the vehicle and engineless vehicles, determines whether they are travelling together, and sends a notification when they are not supposed to be travelling together.
Swing analysis system that calculates a rotational profile
A system that measures a swing of equipment (such as a bat or golf club) with inertial sensors, and analyzes sensor data to create a rotational profile. Swing analysis may use a two-lever model, with a body lever from the center of rotation to the hands, and an equipment lever from the hands to the sweet spot of the equipment. The rotational profile may include graphs of rates of change of the angle of the body lever and of the relative angle between the body lever and the equipment lever, and a graph of the centripetal acceleration of the equipment. These three graphs may provide insight into players' relative performance. The timing and sequencing of swing stages may be analyzed by partitioning the swing into four phases: load, accelerate, peak, and transfer. Swing metrics may be calculated from the centripetal acceleration curve and the equipment/body rotation rate curves.
Method and apparatus for improving MEMs accelerometer frequency response
Sensor apparatus and methods for operating the same for measuring acceleration are disclosed. In some embodiments, circuitry inside a sensor digitizes a measured acceleration signal from an accelerometer into a digitized acceleration signal, which is processed by a digital equalization filter within the sensor to provide an equalized acceleration signal. The equalized acceleration signal may have a frequency response that is substantially flat over a frequency range that extends beyond the resonant frequency of a MEMs sensor within the accelerometer of the sensor.