Systems and methods are provided for anesthetic agent level sensing. In one embodiment, a system for a level sensor for an anesthetic vaporizer includes a measurement tube including a float positioned therein, a bottom portion of the measurement tube coupled to a cap having a central opening, a retaining bracket coupled to a top portion of the measurement tube, an optical sensor housed within the retaining bracket, the optical sensor including a light source positioned to emit light toward an interior of the measurement tube and a light detector positioned to receive light from the interior of the measurement tube, and an optical window housed within the retaining bracket and coupled between the optical sensor and the interior of the measurement tube.

In some examples, an optical encoder may consist of a light source that shines light onto a wheel which then reflects the light onto a sensor. Using information encoded in the reflected light, the rotation of the wheel may be determined. In some examples, rotation of the wheel may be determined by detecting an encoding pattern in light reflected from an exterior surface of the wheel. In some examples, the encoding pattern can be a pattern of light and dark stripes. In some examples, a pattern of light stripes can be generated from light reflecting off of reflective portions of the wheel. Some examples of the disclosure relate to using a surface topology for a wheel that can be used to generate an encoding pattern of light and dark stripes in light reflected from the surface of the wheel, even when the surface of the wheel is uniformly reflective.

In some examples, an optical encoder may consist of a light source that shines light onto a wheel which then reflects the light onto a sensor. Using information encoded in the reflected light, the rotation of the wheel may be determined. In some examples, rotation of the wheel may be determined by detecting an encoding pattern in light reflected from an exterior surface of the wheel. In some examples, the encoding pattern can be a pattern of light and dark stripes. In some examples, a pattern of light stripes can be generated from light reflecting off of reflective portions of the wheel. Some examples of the disclosure relate to using a surface topology for a wheel that can be used to generate an encoding pattern of light and dark stripes in light reflected from the surface of the wheel, even when the surface of the wheel is uniformly reflective.

An optical proximity sensor system to detect a distance to a target object is provided. The optical proximity sensor system includes a laser that generates an emitted optical beam at a linear polarization and an optical cavity system that includes an optical cavity defined by a distance between the laser and the target object. The target object reflects the emitted optical beam to generate a reflected optical beam. A partially reflective mirror diverts a portion of the emitted optical beam and/or the reflected optical beam. A photodetector receives the diverted optical beam and generates a proximity signal that has a frequency that is indicative of the distance to the target object based on the diverted portion of the at least one of the emitted optical beam and the reflected optical beam. A proximity processor calculates the distance to the target object based on the frequency of the proximity signal.

An electronic watch includes a housing and a crown assembly including a rotatable actuation member. The rotatable actuation member includes a knob external to the housing and configured to receive a rotational input and a shaft assembly coupled to the knob and positioned at least partially within the housing, the shaft assembly defining a sensing surface configured to rotate in response to the rotational input. The electronic watch further includes an optical sensing system configured to detect the rotational input, the detecting including directing light onto the sensing surface, receiving reflected light from the sensing surface, and producing a signal corresponding to a rotational motion of the sensing surface, the signal based at least in part on an interference between the light directed onto the sensing surface and the reflected light.

An electronic watch includes a housing and a crown assembly including a rotatable actuation member. The rotatable actuation member includes a knob external to the housing and configured to receive a rotational input and a shaft assembly coupled to the knob and positioned at least partially within the housing, the shaft assembly defining a sensing surface configured to rotate in response to the rotational input. The electronic watch further includes an optical sensing system configured to detect the rotational input, the detecting including directing light onto the sensing surface, receiving reflected light from the sensing surface, and producing a signal corresponding to a rotational motion of the sensing surface, the signal based at least in part on an interference between the light directed onto the sensing surface and the reflected light.

A sensor system includes a quantum dot including one or more paramagnetic centers. It comprises a control and evaluation device including a pump radiation source, a radiation receiver and which irradiates the quantum dot depending on a transmission signal. The quantum dot emits fluorescence radiation upon irradiation with the pump radiation, which depends on the magnetic flux density and/or on another physical parameter. The control and evaluation device generates an output signal including a measured value as a function of the fluorescence radiation. The control and evaluation device compensatingly readjusts the sensitivity of the quantum dot for the magnetic flux density and/or the other physical parameter by means of one or more compensation coils.

A sensor system includes a quantum dot including one or more paramagnetic centers. It comprises a control and evaluation device including a pump radiation source, a radiation receiver and which irradiates the quantum dot depending on a transmission signal. The quantum dot emits fluorescence radiation upon irradiation with the pump radiation, which depends on the magnetic flux density and/or on another physical parameter. The control and evaluation device generates an output signal including a measured value as a function of the fluorescence radiation. The control and evaluation device compensatingly readjusts the sensitivity of the quantum dot for the magnetic flux density and/or the other physical parameter by means of one or more compensation coils.

A system and method for reducing laser communication terminal pointing uncertainty. The method trains an artificial neural network (ANN) with input data characterizing terminal pointing error and dependent parameters. The method inputs the trained ANN a set of data of these dependent parameters with unknown pointing error. The method uses the ANN output to apply corrections to the terminal pointing solution to reduce pointing uncertainty. The method can condition the ANN generated corrections to avoid cases where application of the ANN correction could exceed the original pointing uncertainty. This conditioning includes computing the Euclidean distance between current ANN input parameter values and values in the ANN training dataset, and bounding the allowed magnitude of the ANN pointing correction. The method can train the ANN incrementally during terminal operation for real-time updates or train the ANN offline with gathered data and implement the trained ANN on the terminal for subsequent links.

A system and method for reducing laser communication terminal pointing uncertainty. The method trains an artificial neural network (ANN) with input data characterizing terminal pointing error and dependent parameters. The method inputs the trained ANN a set of data of these dependent parameters with unknown pointing error. The method uses the ANN output to apply corrections to the terminal pointing solution to reduce pointing uncertainty. The method can condition the ANN generated corrections to avoid cases where application of the ANN correction could exceed the original pointing uncertainty. This conditioning includes computing the Euclidean distance between current ANN input parameter values and values in the ANN training dataset, and bounding the allowed magnitude of the ANN pointing correction. The method can train the ANN incrementally during terminal operation for real-time updates or train the ANN offline with gathered data and implement the trained ANN on the terminal for subsequent links.