Wake-on-touch display screen devices and related methods are disclosed herein An example computing device includes a display screen, a first sensor to detect a presence of a user in an environment, a second sensor to detect a presence of an appendage of the user, and at least one processor to control a power state of the computing device based on first data generated by the first sensor and second data generated by the second sensor.

Methods, systems, and apparatus, for performing low-power vision sensing. One computing device includes a vision sensor configured to generate vision sensor data and an ambient computing system configured to repeatedly process the vision sensor data generated by the vision sensor according to a low-power detection process. If a detection is indicated by the low-power detection process, the ambient computing system wakes one or more other components of the computing device to perform a high-power detection process using the vision sensor data.

An image processing apparatus includes a connection unit, a first power supply unit, a second power supply unit, and a control device. The connection unit is connected to an electronic apparatus including a controlled device and a communication relay unit. The first power supply unit can supply power to the controlled device. The second power supply unit can supply power to the communication relay unit. The control device is capable of switching a power supply state by the first power supply unit and the second power supply unit between at least a first stop state in which power supply by the first power supply unit is continued and power supply by the second power supply unit is stopped and a second stop state in which power supply by the first power supply unit and the second power supply unit is stopped.

A capacitive intelligent workstation detection system, comprising a capacitance detection sensor (1), a capacitive sensing module (201), a microprocessor module (202), a remote management platform (3) and a mobile APP, the capacitance detection sensor (1) detecting a capacitance change when a human body approaches, and after being processed by the capacitive sensing module (201), the capacitance change being sent to the microprocessor module (202) to form workstation state data, the workstation state data being sent to the remote management platform (3), and the remote management platform (3) processing the workstation state data, so as to obtain user habit data. A user uses the mobile APP to obtain relevant data by means of the remote management platform (3), and sends debugging and control information to a workstation detection device (2). The system uses the capacitive sensing module (201), has a small volume, a good concealment, a beautiful appearance and a flexible design, does not require complex optical and microwave devices and has no mechanical device, is less vulnerable to aging and abrasion, and has a long service life and good consistency. The remote management platform (3) serves as a data management and control center, and the mobile APP provides man-machine bidirectional interaction, so as to implement office electric appliance linkage energy-saving management and personnel management.

A sensor including at least one sensor chip for detecting a radiation; and an electronics unit with a digital, bidirectional connection line and with a standby control circuit, as well as with an active status line; wherein the connection line is configured to be connected to an external activation unit; and the standby control circuit is configured to determine whether the connection line is externally addressed by the activation unit when the connection line is not addressed by the active status line, and precisely then to place the sensor in a standby mode.

Examples describe systems and methods for iteratively determining a signal strength map for a wireless access point (AP) aligned to position coordinates. An example method includes receiving logs of data from devices. For a plurality of iterations, the method includes selecting a set of logs of data having an amount of GPS being less than a given amount of GPS in a previously selected set, determining estimates of signal strength maps for the wireless AP aligned to position coordinates based on the selected set and on given signal strength maps due to a previous iteration, and performing a simultaneous localization and mapping (SLAM) optimization of the possible locations of the wireless AP based on the given signal strength maps and the estimates of the signal strength maps. Based on the iterative optimizations, an output signal strength map is provided for the wireless AP aligned to position coordinates.

Low power consumption baseline tracking systems and methods for automatically tracking a baseline input into a capacitive sensor having a plurality of transmitter electrodes and a plurality of receiver electrodes. A partial baseline scan is captured by driving all or a portion of the plurality of transmitter electrodes simultaneously and detecting receiver signals from a subset of the at least one receiver electrode simultaneously, and the partial baseline scan is compared with a stored baseline image. When a difference between the captured partial baseline scan and the stored baseline image exceeds a threshold value, a full baseline image scan is acquired, and the stored baseline image is updated.

A bus repeater includes first and second bus ports, a first termination resistor network coupled to the first bus port, a second termination resistor network coupled to the second bus port, and a power state change detection circuit coupled to the second bus port. The power state change detection circuit is configured to detect a power state change initiated by a device coupled to the first bus port. The detection of the power state change includes a determination that a voltage on the second bus port exceeds a threshold. Responsive to detection of the power state change, the power state change detection circuit is configured cause a change in a configuration of at least one of the first or second termination resistor networks.

Disclosed are systems and techniques for extended reality optimizations using radio frequency (RF) sensing. An example method can include obtaining RF sensing data; determining, based on the RF sensing data, reflected paths of one or more reflected RF signals, each reflected RF signal including a reflection of a transmitted signal from one or more objects in physical space; comparing the one or more reflected paths, to a field-of-view (FOV) of an image sensor of the device; and based on the comparison, triggering an action by the device and/or the image sensor.

A method includes obtaining a request for one of multiple operational modes from an application installed on an extended reality (XR) device or an XR runtime/renderer of the XR device. The method also includes selecting a first mode of the operational modes, based at least partly on a real-time system performance of the XR device. The method also includes publishing the selected first mode to the XR runtime/renderer or the application. The method also includes performing a task related to at least one of image rendering or computer vision calculations for the application, using an algorithm associated with the selected first mode.