An object detection device includes first and second detectors each configured to detect an object by transmitting an ultrasonic wave in a moving direction of the moving object and receiving a reflected wave of the ultrasonic wave, a second detector, a memory, and a hardware processor coupled to the memory, and configured to: determine that an obstacle is present in the moving direction of the moving object, based on object detection results by the first and second detectors; determine crossing of the obstacle based on object detection results by the first and second detectors in a state in which it is being determined that the obstacle is present; and cause a driving controller mounted on the moving object, to release driving restriction control of restricting movement of the moving object when determining the crossing, or prohibit the driving controller from releasing the driving restriction control under a predetermined condition.

An object detection device includes first and second detectors each configured to detect an object by transmitting an ultrasonic wave in a moving direction of the moving object and receiving a reflected wave of the ultrasonic wave, a second detector, a memory, and a hardware processor coupled to the memory, and configured to: determine that an obstacle is present in the moving direction of the moving object, based on object detection results by the first and second detectors; determine crossing of the obstacle based on object detection results by the first and second detectors in a state in which it is being determined that the obstacle is present; and cause a driving controller mounted on the moving object, to release driving restriction control of restricting movement of the moving object when determining the crossing, or prohibit the driving controller from releasing the driving restriction control under a predetermined condition.

An I/O system component for a switch and control cabinet for components and/or functional units of an I/O network, including: a housing with a front, a top, a bottom, at least one side face, and a sensor window; at least one ultrasonic sensor for detecting at least one physical quantity, the at least one ultrasonic sensor being arranged behind the sensor window; and at least one printed circuit board, the at least one ultrasonic sensor being connected to the printed circuit board so as to carry data.

An I/O system component for a switch and control cabinet for components and/or functional units of an I/O network, including: a housing with a front, a top, a bottom, at least one side face, and a sensor window; at least one ultrasonic sensor for detecting at least one physical quantity, the at least one ultrasonic sensor being arranged behind the sensor window; and at least one printed circuit board, the at least one ultrasonic sensor being connected to the printed circuit board so as to carry data.

A vehicle flow monitoring system for detecting both a car count and direction of movement of vehicles passing a point of interest. The vehicle flow monitoring system generally includes a car counter which may include a microcontroller and a pair of distance sensors. Each of the distance sensors is oriented toward a unique point of interest. Each of the distance sensors includes a threshold distance reading which is used to detect whether a vehicle has passed underneath the car counter. The system may determine direction of travel of the vehicle based on which of the distance sensors is passed by the vehicle first. The microcontroller may assign an Event ID to each time a vehicle passes each of the sensors, with the Event ID being used to identify when and if the vehicle should be counted, or whether a non-vehicle object has passed the car counter.

A method for recognizing a gesture made outside a vehicle includes setting a frequency of an ultrasound based on a thickness of a vehicle shell of the vehicle and an attenuation coefficient of the vehicle shell, emitting a plurality of ultrasounds having the frequency outwardly from an inner side of the vehicle shell, receiving a plurality of reflected waves returned by an obstacle reflecting the plurality of ultrasounds, determining whether the obstacle is a hand according to time differences between emission times of the plurality of ultrasounds and reception times of the plurality of reflected waves corresponding to the plurality of ultrasounds, and recognizing the gesture of the hand in response to determining that the obstacle is the hand.

A method for recognizing a gesture made outside a vehicle includes setting a frequency of an ultrasound based on a thickness of a vehicle shell of the vehicle and an attenuation coefficient of the vehicle shell, emitting a plurality of ultrasounds having the frequency outwardly from an inner side of the vehicle shell, receiving a plurality of reflected waves returned by an obstacle reflecting the plurality of ultrasounds, determining whether the obstacle is a hand according to time differences between emission times of the plurality of ultrasounds and reception times of the plurality of reflected waves corresponding to the plurality of ultrasounds, and recognizing the gesture of the hand in response to determining that the obstacle is the hand.

Gesture recognition is a key requirement for Human Computer Interaction (HCI) and multiple modalities are explored in literature. Conventionally, channel taps are estimated using least square based estimation and tap corresponding to finger motion is tracked. These assume that noise component is negligible and can reduce the tracking accuracy for low SNR. Thus, to mitigate the above-mentioned limitation, the system and method of the present disclosure explore the feasibility of using speaker and microphone setup available in most of smart devices and transmit inaudible frequencies (acoustic) for detecting the human finger level gestures accurately. More specifically, System implements the method for millimeter level finger tracking and low power gesture detection on this tracked gesture. The system uses a subspace based high resolution technique for delay estimation and use microphone pairs to jointly estimate the multi-coordinates of finger movement.

Gesture recognition is a key requirement for Human Computer Interaction (HCI) and multiple modalities are explored in literature. Conventionally, channel taps are estimated using least square based estimation and tap corresponding to finger motion is tracked. These assume that noise component is negligible and can reduce the tracking accuracy for low SNR. Thus, to mitigate the above-mentioned limitation, the system and method of the present disclosure explore the feasibility of using speaker and microphone setup available in most of smart devices and transmit inaudible frequencies (acoustic) for detecting the human finger level gestures accurately. More specifically, System implements the method for millimeter level finger tracking and low power gesture detection on this tracked gesture. The system uses a subspace based high resolution technique for delay estimation and use microphone pairs to jointly estimate the multi-coordinates of finger movement.

A railroad car location, speed and heading sensor system including at least one self-powered, tie-mounted sensor node that is applicable universally to different railroad settings without using track circuits, inductive loops, radar systems, and wheel counters and associated disadvantages. Reliable and relatively low cost deterministic and redundant car presence detection is realized when multiple sensor nodes are arranged in a network, which may be a wireless mesh network, that is not affected by environmental conditions.