A video taking device comprises a video camera, an auxiliary controller and a main controller, wherein the video camera is electrically connected with the auxiliary controller and the main controller and the auxiliary controller is electrically connected with the main controller. The video camera is configured to film to generate a video stream. The auxiliary controller is configured to determine whether there is a target existing in the video stream, and to generate a switch instruction when the target exists in the video stream. The main controller is configured to switch into a first operation mode from a first standby mode and instruct the auxiliary controller to be in a second standby mode when receiving the switch instruction, and to obtain the video stream from the video camera for recognizing appearance of the target.

A pixel cell for differential light sensing includes a plurality of photodiodes and a corresponding plurality of storage diodes. Each storage diode is disposed between a first adjacent photodiode and a second adjacent photodiode, and each storage diode is configured to receive photo charges from either or both of the first adjacent photodiode and the second adjacent photodiode. Each photodiode is disposed between a first adjacent storage diode and a second adjacent storage diode, and each photodiode is configured to transfer photo charges to either or both of the first adjacent storage diode and the second adjacent storage diode.

An image sensor device includes a plurality of pixel cells arranged in a pixel array, a control circuit for controlling an exposure phase and a sampling phase of the image sensor device. Each of the plurality of pixel cells includes a photodiode, a storage diode, and a floating diffusion region. The control circuit is configured to activate the photodiode in a plurality of time windows to sense light reflected from a target as a result of a corresponding plurality of emitted light pulses, with a pre-determined delay time between each time window and a corresponding emitted light pulse. The photodiode can be activated using a plurality of bias voltage pulses or a plurality of global shutter signal pulses.

A method and system for tracking a course of a cable using electromagnetic waves. A first transceiver sends to a second transceiver a first signal wirelessly in a linear line. The second transceiver sends back to the first transceiver the first signal in the linear line. A first distance between the first transceiver and the second transceiver is determined by determining a total transmission time for a first wireless signal travelling from the first transceiver to the second transceiver and back to the first transceiver. A second signal, aligned with the first signal, is transmitted from the first transceiver into the cable. The second transceiver receives the second signal wirelessly from the cable. A second distance between the first transceiver and the second transceiver is determined by comparing a phase difference between the first signal received by the second transmitter and the second signal received by the second transmitter.

A method performed by a first device for locating a medical device within a medical facility includes determining, by the first device, that a second device is located in a same room as the first device, based on a first signal communicated between the first device and the second device; determining, by the first device, a distance to the at least one second device, based on a second signal communicated between the first device and the second device; and establishing communication with the second device. A device, a wireless stationary node, a location determining system and method, and a patient support apparatus are also described.

In one embodiment, a system of detecting seat belt operation in a vehicle includes at least one light source configured to emit a predetermined wavelength of light onto structures within the vehicle, wherein at least one of the structures is a passenger seat belt assembly having a pattern that reflects the predetermined wavelength at a preferred luminance. At least one 3-D time of flight camera is positioned in the vehicle to receive reflected light from the structures in the vehicle and provide images of the structures that distinguish the preferred luminance of the pattern from other structures in the vehicle. A computer processor connected to computer memory and the camera includes computer readable instructions causing the processor to reconstruct 3-D information in regard to respective images of the structures and calculate a depth measurement of the distance of the reflective pattern on the passenger seat belt assembly from the camera.

In one embodiment, a system of detecting seat belt operation in a vehicle includes at least one light source configured to emit a predetermined wavelength of light onto structures within the vehicle, wherein at least one of the structures is a passenger seat belt assembly having a pattern that reflects the predetermined wavelength at a preferred luminance. At least one 3-D time of flight camera is positioned in the vehicle to receive reflected light from the structures in the vehicle and provide images of the structures that distinguish the preferred luminance of the pattern from other structures in the vehicle. A computer processor connected to computer memory and the camera includes computer readable instructions causing the processor to reconstruct 3-D information in regard to respective images of the structures and calculate a depth measurement of the distance of the reflective pattern on the passenger seat belt assembly from the camera.

Various examples are directed to systems and methods for utilizing depth videos to analyze material handling tasks. A material handling facility may comprise a depth video system and a control system programmed to receive a plurality of depth videos including performances of the material handling task. For each of the plurality of depth videos, training data may identify sub-tasks of the material handling task and corresponding portions of the video including the sub-tasks. The plurality of depth videos and the training data may be used to train a model to identify the sub-tasks from depth videos. The control system may apply the model to a captured depth video of a human agent performing the material handling task at a workstation to identify a first sub-task of the material handling task being performed by the human agent.

Some embodiments relate to a method for locating a mobile target for a tracking vehicle, including a first communication module in a first location on the tracking vehicle in order to determine a first distance measurement between the first location and the mobile target at a first time, and a second communication module at a second location on the tracking vehicle in order to determine a second distance measurement between the second location and the mobile target at a second time, and a processing module for determining a forecast of the movement of the tracking vehicle between the first and second times, and for determining a location of the mobile target relative to the tracking vehicle from the first and second distance measurements, taking into account the forecast, so as to compensate for the movement, between the first and second times.

The present invention provides a quantification technique of an installation state of a range image camera in a range image camera system provided with a plurality of range image cameras. In the range image camera system provided with the plurality of range image cameras and the range image camera cooperative processing device for cooperatively processing the plurality of range image cameras, the installation information of the range image cameras is generated from a range distribution of the range image photographed by the range cameras and a luminance distribution of the luminance image to photograph the reflected light of the irradiation light of the range image camera arranged adjacently.