176 results about "Proximity detection" patented technology

An autonomous warehouse robotics system integrates a multi-sensor platform, adaptive payload handling, dynamic task reallocation, advanced navigation, energy management, and comprehensive safety features into one mobile robot chassis. The system utilizes LiDAR, stereo vision, ultrasonic sensors, mmWave radar, thermal cameras, and event cameras to perform complete environmental sensing and obstacle detection. Sensor fusion combines adaptive weighting, multi-modal data integration, and statistical filtering to create high-confidence maps for reactive path planning and collision avoidance. The robot's payload system features machine vision for item recognition, telescopic lifts, variable-width grippers, and real-time toolhead verification to handle a variety of goods. Fleet management is achieved through dynamic task reallocation that considers robot location, battery level, and operational delays, all coordinated by a cross-platform middleware architecture that ensures standardized communication, remote monitoring, and over-the-air updates among diverse robot brands. Energy management optimizes power usage via predictive routing, autonomous return-to-charge, and auction-based scheduling. Safety is maintained through proximity detection, behavior-based intervention, and human-robot cohabitation protocols while advanced localization is enhanced by fusing ultra-wideband positioning with visual landmark alignment, inertial sensing, and machine learning to deliver high accuracy in non-line-of-sight conditions. An onboard edge AI module further refines navigation and task prioritization through neural network inference, ensuring robust, adaptive operation in dynamic, unstructured warehouse environments.

Systems and methods are disclosed for dual, simultaneous, single-session, proximity-based, secure authentication of a Digital Assisted Shopping (DAS) representative and a customer in an unsecured remote location. The method includes installing a mobile banking application on the customer's device and an enterprise application on the DAS representative's device, both with biometric verification. Proximity detection using Bluetooth Low Energy (BLE) initiates a secure session via push notifications. A secure communication channel is established through a secure local handshake, involving encryption key exchange and mutual authentication. The system exchanges data related to customer profiles and financial accounts, continuously monitors geolocation using GPS, Wi-Fi, and cellular data, and performs periodic background biometric re-verifications. AI / ML algorithms analyze customer data to propose financial products and services, which are securely shared with the customer for review and selection. The system facilitates real-time enrollment and transaction processing, terminating the session upon detecting security breaches.

In some implementations, a method of enabling map-less proximity detection may include determining an initial set of proximity relationships between at least a subset of a plurality of transceivers, each transceiver located at a different respective position within a volume or venue. The proximity relationships may be indicative of a spatial relationship between at least a portion of the plurality of transceivers. The method may include obtaining a plurality of measurements of radio frequency (RF) signals transmitted by the plurality of transceivers, the measurements performed by a first mobile device at different locations in the volume or venue. The method may include determining a modified set of proximity relationships having the initial set of proximity relationships, modified based on information from the plurality of measurements.

Embodiments of the present invention provide a trackable device system comprising a modular housing integrated with personal or enterprise assets. The system includes a chipset with wireless communication modules (e.g., BLE, UWB, GPS, or cellular), a processor, location modules, memory, and power management components. The processor supports proximity detection, geofencing, motion-triggered alerts, lost-mode activation, and SOS signaling to emergency contacts. Integration with mobile platforms enables real-time tracking, augmented reality overlays, and compatibility with networks like Apple Find My™ and Google Find My Device. Security features include encrypted memory, tamper detection, secure pairing, and a secure enclave for sensitive data. In enterprise settings, the system supports blockchain-based inventory logging, role-based access, and RFID / NFC inventory control. The device adapts to diverse form factors and deployment scenarios, ensuring reliable location tracking, anti-tamper protection, and secure asset management for consumer, industrial, and institutional applications.

Techniques for controlling motion of physical, moving devices within a robotic work cell of an inventory system are disclosed. A user device (e.g., a wearable device) can be used within the workspace to transmit wireless signals. One of these signals can be received by one or more receiving devices associated with the robotic work cell. A proximity monitoring engine can transmit notification data to a machine controller while the signal is being received. Transmitting the notification data may cause the machine controller to execute instructions to halt motion of the robotic device (and / or other moving devices associated with the robotic work cell). The devices of the robotic work cell may remain in a halted state while the signal continues to be received. When the signal is no longer being received, the devices of the robotic work cell may be instructed to resume motion.

The invention relates to the technical field of robots, and provides a robot and a safety control method, device and equipment thereof, a storage medium and a product, the robot comprises electronic skin, the electronic skin comprises a first detection unit and a second detection unit, and the method comprises the following steps: responding to an obstacle approaching the robot, and detecting the approaching speed of the obstacle through the first detection unit; in response to the approaching speed being greater than or equal to a preset speed threshold value, controlling the robot to perform obstacle avoidance path planning and / or speed reduction; detecting a contact force and a contact moment of the obstacle through a second detection unit in response to the obstacle contacting the robot; and determining safety braking parameters of the robot based on the approaching speed, the contact force and the contact moment. Safety speed monitoring based on proximity detection and power and force limitation based on contact detection in man-machine cooperation can be achieved at the same time, a dual protection mechanism of proximity sensing and contact sensing of the robot is achieved, and safety is further improved.

Disclosed are systems and techniques for proximity detection using a wearable sensing device. An example method can include obtaining sensing data based on one or more wireless signals, the sensing data comprising at least one of a proximity measurement and a distance measurement; determining, based on the sensing data, a spatial relationship between a device associated with a user and a source of the one or more wireless signals; determining whether the spatial relationship satisfies a proximity condition associated with a distance threshold; and based on a determination that the spatial relationship satisfies the proximity condition associated with the distance threshold, triggering a sensory alert via one or more output components.

A portable catwalk sensing device includes a proximity detector configured to detect a proximity of a conveyor portion of a catwalk tubular transport machine, a tubular carried by the catwalk tubular transport machine, or both, to a predetermined location relative to the rig floor. The device also includes a module having a processor, and configured to communicate with the proximity detector and receive data representing proximity of the catwalk tubular transport machine, the tubular, or both from the proximity detector, a rig floor, or a combination thereof. The module includes a housing and is configured to be portable. The device also includes an alarm coupled to or integral with the module. The alarm is configured to communicate with the processor, such that the processor is configured to cause the alarm to provide an indication to a user of the proximity of the catwalk tubular transport machine, the tubular, or both.

Disclosed are systems and techniques for proximity detection using a wearable sensing device. An example method can include obtaining sensing data based on one or more wireless signals, the sensing data comprising at least one of a proximity measurement and a distance measurement; determining, based on the sensing data, a spatial relationship between a device associated with a user and a source of the one or more wireless signals; determining whether the spatial relationship satisfies a proximity condition associated with a distance threshold; and based on a determination that the spatial relationship satisfies the proximity condition associated with the distance threshold, triggering a sensory alert via one or more output components.

The utility model discloses a vehicle approaching detection prompting device which comprises a buffer plate installed in front of a cargo carrying table, a distance measuring sensing module is installed on the buffer plate, a plurality of infrared sensing modules are installed on the cargo carrying table, the buffer plate is fixed to a sliding block, the sliding block is connected to the cargo carrying table in a sliding mode, and the distance measuring sensing module is connected with the infrared sensing modules. A matching plate slides on the cargo carrying table, a buffer spring is fixed between the buffer plate and the matching plate, a control module is installed on the cargo carrying table, an alarm module is installed on the front side of the cargo carrying table, and the alarm module, the infrared sensing module and the distance measuring sensing module are all connected with the control module through wires. The buffering plate is slidably connected to the supporting plate, and the supporting plate is fixed to the output end of the air cylinder, so that distance measurement can be conveniently conducted on a vehicle, a driver is reminded, vehicles with different heights are prevented from colliding with the cargo carrying table, a reversing buffering structure is additionally arranged, and the vehicle is prevented from being damaged when collided.

Methods and systems for close detection are provided. An input device has an opened state and a closed state. The input device includes a first portion comprising a touch sensor having a sensing area. The touch sensor includes a plurality of transmitter electrodes and a plurality of receiver electrodes. The input device also has a second portion comprising a plurality of features. A sensor circuit is configured to drive the plurality of transmitter electrodes with sensing signals and receive resulting signals from the plurality of receiver electrodes. A processing system is configured to generate an acquired image from at least a portion of the sensing area; compare the acquired image to a reference image, wherein the reference image includes data corresponding to the plurality of features; and determine whether the input device is in the closed state based on the comparison of the acquired image to the reference image.

The present invention discloses an underwater communication device for use by divers, comprising: at least one permanent magnet positioned at an edge of said device and configured to generate a magnetic field; at least one magnetic sensor with proximity detection functionality positioned at an edge of said device and configured to detect said magnetic field when a second underwater communication device is brought into proximity; a pairing module configured to: receive a proximity indication from said magnetic sensor when said magnetic field is detected, initiate a communication pairing session in response to said proximity indication, and establish a shared connection with said second underwater communication device, wherein the shared communication link enables subsequent underwater communication between the devices later when the devices are no longer in proximity identified by said magnetic field;

A proximity detection and collision avoidance system determines whether a collision risk exists between two vehicles by measuring magnetic field vectors generated on each of the vehicles as the relative distance between the vehicles decreases.

The present invention is a cylindrical grinding apparatus including a first and second detecting means for detecting proximity between one end and another end of a crystal rod and a main shaft and a subordinate shaft in a non-contact manner and a drive mechanism that can adjust moving speed of a second support unit on the subordinate shaft, wherein, in support with contact between the one end of the crystal rod and the subordinate shaft, moving speed B of the second support unit in time from proximity detection between the one end and the subordinate shaft by the second detecting means to the support with contact is adjusted to be slower than moving speed A until the proximity detection; and in support with contact between the another end of the crystal rod and the main shaft, moving speed D in time from proximity detection between the another end and the main shaft by the first detecting means to the support with contact is adjusted to be slower than moving speed C until the proximity detection. This can provide a cylindrical grinding apparatus that can prevent occurrence of damage in an end portion of a crystal rod and mechanical misalignment of a support unit, reduce process time, and reduce necessity of maintenance of parts to detect positional relationships between the crystal rod and the main shaft etc.

To provide a proximity detection apparatus and a proximity detection method with improved hover detection sensibility.SOLUTION: A proximity detection apparatus 100 of the present invention includes a detection controller 110 and a touch panel 120. The detection controller 110 includes a drive unit 112 that drives a sensor line on an X side or a Y side, a measurement unit 114 that measures an electrostatic capacity Cm, Cpx, Cpy formed by the sensor line on the X side or the Y side, and a detection unit 116 that performs touch detection or hover detection based on the electrostatic capacity Cm, Cpx, Cpy measured by the measurement unit 114. The drive unit 112 improves a sensibility of the hover detection by changing a frequency of a drive signal that drives the sensor line on the X side or the Y side when performing the hover detection.SELECTED DRAWING: Figure 7

This application discloses an electronic device, a near-field communication control method, and an apparatus, belonging to the field of near-field communication technology. The electronic device includes: an audio power amplifier; a near-field communication module for interacting with an external near-field communication device; an object proximity detection sensor connected to the near-field communication module, used to detect the proximity status of the near-field communication device and report a moving-away or moving-closer status; and a main control module connected to the audio power amplifier, the near-field communication module, and the object proximity detection sensor, used to control the operating parameters of the near-field communication module based on the operating status of the audio power amplifier and the proximity status reported by the object proximity detection sensor.

An apparatus for proximity detection of an obstacle relative to an object comprises a plurality of piezoelectric elements disposable on a surface of the object; a memory storing instructions; and at least one processor, which is configured to execute the instructions to control a first one among the piezoelectric elements to generate an acoustic wave along the surface of the object; receive, via a second one among the piezoelectric elements, an acoustic wave signal corresponding to the generated acoustic wave; filter the received acoustic wave signal, by using a band-pass filter for reducing noise; obtain a signal for proximity detection, from the filtered acoustic wave signal; and predict whether the obstacle is within a first distance from the surface of the object, by inputting the obtained signal for proximity detection to a neural network.

Systems and methods for a projected dielectric sensor comprising a first conductive path with a first conductive mesh, a second conductive path with a second conductive mesh, and a dielectric gap between them. The dielectric gap functions as an open circuit in a resting state, offering a broader detection range compared to traditional sensors. The sensor includes a power drive connected to the first conductive path and a collector connected to the second conductive path. The first and second conductive meshes include sheets that are positioned longitudinally side-by- side, enhancing sensitivity and simplifying manufacturing. In an example, the sheets are separated by at least 10 cm of dielectric material. The sensor can detect off-axis objects such as conductors, vehicles, humans, and baby seats, making it suitable for various applications including vehicle safety, biometric systems, gesture and mid-air control, and machine learning integration.

Disclosed herein are devices, systems, and methods for detecting and classifying the proximity of a human to a wireless antenna. The device may include a processor configured to receive information representing an incident wave and a reflected wave of a transmission on the wireless antenna. The processor may also be configured to analyze the information using one or more classification models, wherein each of the one or more classification models comprise a machine-learning-based classifier that determines, based on the information, whether the object is within a threshold proximity to the wireless antenna, a classification of the object, and / or a separation-distance between the wireless antenna and the object.

The technology described herein is directed towards a transceiver with beam scanning capability based on leaky wave antenna technology, which facilitates a compact transceiver design. The leaky wave antenna can be incorporated into a substrate integrated waveguide design, and can include different respective groups of slot pairs having different respective periodicities, corresponding to different respective beam steering directions. The transceiver can thus steer signals to a wearable or portable device that includes a passive metasurface while mitigating null regions; the transceiver transmits a wireless radio frequency signal towards the metasurface integrated into the wearable device, whereby the metasurface reflects an (e.g., metasurface-altered) instance of the incoming signal back to the transceiver. The receipt of the reflected signal can, for example, facilitate proximity detection of the user. The slot pairs can be asymmetrical reflection-canceling slot pairs, to achieve broadside radiation while avoiding band-stop effects.

An input interface device includes at least one processor. The processor, in response to a detector not detecting that an object is in contact with or in proximity to a detection surface, causes a plurality of light emitters disposed alongside the detector to emit light with a first luminous intensity. The processor, in response to the detector detecting that the object is in contact with or in proximity to the detection surface, causes, among the plurality of light emitters, a light emitter corresponding to a contact or proximity point detected by the detector at which the object is in contact with or in proximity to the detection surface, to emit light with a second luminous intensity that is higher than the first luminous intensity.

A noise camera comprises a plurality of audio detectors such as microphones, which are spatially disposed with respect to a tracking camera. The plurality of audio detectors may be arranged to detect a location of a noise source in a field of view of the tracking camera, thereby allowing identification of a source of noise such as a vehicle emitting noise exceeding a predetermined threshold such as a legal limit. The noise camera may comprise one or more detection cameras for identifying a noise source by techniques such as number plate recognition for the example of a vehicle. A location of a noise source in the field of view of the tracking camera is determined from a time difference of arrival of the noise from the noise source detected by a plurality of the audio detectors. The time difference of arrival indicating an angle of the noise from the tracking camera may be mapped into video captured with the field of view of the tracking camera as one or more pixel location values. Documentary evidence generated from the noise camera can include the tracking video, noise source pixel location values comprising, for each of one or more tracking images of the tracking video, an indication of a location of a pixel of a dominant noise source in the tracking video. The documentary evidence may be processed to identify a path of the dominant noise source in the tracking video from the noise source pixel location values. From the path, a detection time at which the path of the dominant noise source in the tracking video is closest to a detection point in a field of view of a detection camera is determined. The noise source such as a vehicle is identified from images at the detection time.

This obstacle proximity detection device comprises: an acquisition unit that successively acquires three-dimensional point cloud data representing an outdoor structure acquired by using a three-dimensional laser scanner; a specification unit that specifies first point cloud data representing a subject and second point cloud data representing an obstacle from the three-dimensional point cloud data; a setting unit that sets a first detection area that surrounds the first point cloud data, said area being set in advance by a user; a movement unit that, on the basis of a feature point extracted from the first point cloud data, moves the first point cloud data and the first detection area in accordance with movement of the feature point; and an output unit that, if the first detection area and part of a second detection area surrounding the second point cloud data overlap or if the number of data points in the first point cloud data that are present within the second detection area is equal to or greater than a prescribed threshold value, outputs an alert representing the proximity between the subject and the obstacle.

The utility model relates to a tray approaching detection device. The device comprises a fixed seat, a sliding assembly, a detection plate, a position detection switch and a reset assembly, the sliding assembly is composed of a sliding block, a limiting piece and a guide rail, ensures smooth movement of the detection plate and limits the movement range. The reset assembly is composed of a mounting base and an extension spring, and automatic reset of the detection plate is achieved. The detection plate is provided with a trigger plate, a contact plate and a support plate, is in full contact with the tray and accurately detects the approaching state of the tray; the position detection switch is vertically arranged downwards along the gravity direction, so that the detection accuracy is improved; the device is suitable for logistics storage, automatic production lines and other scenes, has the advantages of high detection efficiency, long service life, good continuity and accuracy and the like, reduces manual intervention, and improves the production efficiency; by optimizing the structural design, the functions of accurate detection and automatic reset of the approaching state of the tray are achieved.

Disclosed herein is an information processing device including a contact detection unit configured to detect a contact operation for an operation surface, an approach detection unit configured to detect an approach operation for the operation surface, and a control unit configured to recognize the contact operation and the approach operation as a series of operation inputs when the contact operation and the approach operation are continuously detected.

A starting system of a work machine includes a control section that controls the work machine, a proximity detection section that detects that a specific operator is in proximity to the work machine, and a starting section that starts at least a part of the control section when it is detected that the specific operator is in proximity to the work machine.

The invention relates to a robot platform anomaly detection system and method based on artificial intelligence, belongs to the technical field of data detection, and aims to solve the problems that on one hand, a surgical robot platform is extremely expensive, and if related personnel accidentally damage equipment during cleaning, the related personnel are afraid to report; on the other hand, the equipment is damaged under the condition that related personnel do not know; therefore, a matching scheme among a human body approaching detection device, a uniform recognition detection device, an abnormal collision detection device, a collision position recognition device, a voice warning device, a personnel self-inspection uploading device and an image recognition uploading device is designed; and the abnormal conditions possibly occurring in the cleaning link of the surgical robot platform can be completely overcome.

The invention is directed to a proximity detection device configured to determine a signal strength value (S) indicative of an amount of received signal power of an identification signal of an originating lighting node comprising lighting node identification information and received via a signal input unit (102). It further comprises a proximity detection unit (106) configured to generate and provide a proximity information signal (P) indicative of the proximity detection device being within a proximity area upon determining that the received signal strength value exceeds a predetermined proximity threshold (S th ). It further comprises a threshold determination unit (108) configured to update the proximity threshold for a given originating lighting node upon determining that a pre-stored threshold update criterion (C) comprising one or more update conditions associated with the lighting node identification information is fulfilled, for redefining the proximity area associated with the given originating lighting node, thus reducing the complexity of threshold adaptation.

Systems and methods for generating proximity-based alerts in non-line-of-sight environments. A first device detects a signal from a second device (e.g., via a decentralized mesh network). The first device, using fused sensor data including global navigation satellite system and inertial measurement unit information, determines a collision probability or time-to-impact relative to the second device. An alert is generated based on the collision probability, providing proactive warnings to users of vehicles, astronauts, or other assets to reduce the likelihood of collisions in complex environments.

To provide a proximity position detection apparatus for detecting a position of a subject without requiring spaces on both right and left sides of a display, and to provide a display unit, and an information processing system.SOLUTION: A display 2 includes four LEDs and two photodiodes, an LED 1, a PD 1, an LED 2, an LED 3, a PD 2, and an LED 4, arranged in this order in a lateral direction and a little below a lower side of a display surface, and an LED 5 and an LED 6 arranged in the lateral direction and a little above an upper side of the display surface. Positions of detection signals corresponding to a center of gravity are detected as coordinates X of the subject in a horizontal direction, from a detection signal L1 of the PD 2 when the LED 1 is on, a detection signal L2 of the PD1 when the LED2 is on, a detection signal L3 of the PD2 when the LED3 is on, and a detection signal L4 of the PD2 when the LED 4 is on. A ratio between the sum of the detection signals and a value obtained by multiplying a predetermined correction coefficient by the sum of a detection signal L5 of the PD1 when the LED 5 is on and a detection signal L6 of the PD 2 when the LED 6 is on, is detected as coordinates Y of the subject in a vertical direction.SELECTED DRAWING: Figure 7