| Class / Patent application number | Description | Number of patent applications / Date published |
|---|
| 340943000 | Sonic or ultrasonic | 9 |
| 20090115635 | DETECTION AND CLASSIFICATION OF RUNNING VEHICLES BASED ON ACOUSTIC SIGNATURES - A method and apparatus for identifying running vehicles in an area to be monitored using acoustic signature recognition. The apparatus includes an input sensor for capturing an acoustic waveform produced by a vehicle source, and a processing system. The waveform is digitized and divided into frames. Each frame is filtered into a plurality of gammatone filtered signals. At least one spectral feature vector is computed for each frame. The vectors are integrated across a plurality of frames to create a spectro-temporal representation of the vehicle waveform. In a training mode, values from the spectro-temporal representation are used as inputs to a Nonlinear Hebbian learning function to extract acoustic signatures and synaptic weights. In an active mode, the synaptic weights and acoustic signatures are used as patterns in a supervised associative network to identify whether a vehicle is present in the area to be monitored. In response to a vehicle being present, the class of vehicle is identified. Results may be provided to a central computer. | 05-07-2009 |
| 20110032122 | VEHICLE PRESENCE ALERT APPARATUS - A vehicle presence alert apparatus for alerting a target object to a presence of the vehicle via an alert sound with a frequency in an audible range is disclosed. The vehicle presence alert apparatus includes: a sound emitter configured to (i) cause a carrier wave with a frequency in an ultrasonic range to carry the alert sound, and (ii) emit the carrier wave carrying the alert sound as a radiation wave toward the target object; a sound receiver configured to receive a reflected wave, the reflected wave being generated due to reflection of the radiation wave by the target object; and relative velocity calculation means for calculating a relative velocity of the target object with respect to the vehicle based on a frequency of the radiation wave and a frequency of the reflected wave. | 02-10-2011 |
| 20110121996 | Method and System for Detecting an Occupant Using Reflected Signals - An occupant detection system emits an ultrasonic signal for detecting the presence of an occupant by reflecting the signal off the occupant and then determines that an occupant is present by detecting motion of the occupant. One type of motion that is detected is the small rhythmic motion associated with respiration. The motion detection system improves detection of motion smaller than a wavelength of the ultrasonic signal by shifting the wavelength of the ultrasonic signal to increase the detected motion signal. The system may also determine the presence of an occupant by comparing the motion signal to a motion pattern that corresponds to respiration. | 05-26-2011 |
| 20110169664 | ACOUSTIC SIGNATURE RECOGNITION OF RUNNING VEHICLES USING SPECTRO-TEMPORAL DYNAMIC NEURAL NETWORK - A method and apparatus for identifying running vehicles in an area to be monitored using acoustic signature recognition. The apparatus includes an input sensor for capturing an acoustic waveform produced by a vehicle source, and a processing system. The waveform is digitized and divided into frames. Each frame is filtered into a plurality of gammatone filtered signals. At least one spectral feature vector is computed for each frame. The vectors are integrated across a plurality of frames to create a spectro-temporal representation of the vehicle waveform. In a training mode, values from the spectro-temporal representation are used as inputs to a Nonlinear Hebbian learning function to extract acoustic signatures and synaptic weights. In an active mode, the synaptic weights and acoustic signatures are used as patterns in a supervised associative network to identify whether a vehicle is present in the area to be monitored. In response to a vehicle being present, the class of vehicle is identified. Results may be provided to a central computer. | 07-14-2011 |
| 20130328701 | APPROACHING VEHICLE DETECTION DEVICE AND APPROACHING VEHICLE DETECTION METHOD - There is provided an approaching vehicle detection device that detects an approaching vehicle on the basis of sounds collected by a plurality of sound collectors | 12-12-2013 |
| 20140118170 | VEHICLE DETECTOR - A vehicle detector and method for detecting the presence of a vehicle. The vehicle detector includes an array of ultrasonic transducers to direct and receive ultrasonic beams to and from a target. Further, the vehicle detector includes a control system for turning on and off the ultrasonic transducers and for generating data corresponding to the distance between the vehicle detector and the target, the speed of the target, and the direction of motion of the target; and for comparing the generated data to stored data to determine whether or not a vehicle is present. Finally, the vehicle detector includes output circuitry that directs a signal to an external device whether or not a vehicle is present. | 05-01-2014 |
| 20150123819 | PARKING SENSOR DEVICE - A parking sensor device has a casing, a front cover, a sensor module and an assembling clamp. The casing has two first hooking elements. The front cover is mounted on the casing. The sensor module is mounted in the casing and the front cover. The assembling clamp detachably engages the casing and has two second hooking elements. The second hooking elements selectively hook the first hooking elements of the casing respectively. The casing and the assembling clamp are engaged quickly with each other, thereby facilitating the easy fabrication of the parking sensor device and improving the convenience of maintenance of the parking sensor device. | 05-07-2015 |
| 20150332591 | VEHICLE DETECTION - In some examples, vehicle detection includes detecting a target vehicle that has at least one designated attribute, confirming that the detected target vehicle is within an unobstructed or partially obstructed line of sight of the first object, and confirming that the target vehicle has been detected within the unobstructed or partially obstructed line of sight of the first object. | 11-19-2015 |
| 20160086621 | DRONE DETECTION AND CLASSIFICATION METHODS AND APPARATUS - A system, method, and apparatus for drone detection and classification are disclosed. An example method includes receiving a sound signal in a microphone and recording, via a sound card, a digital sound sample of the sound signal, the digital sound sample having a predetermined duration. The method also includes processing, via a processor, the digital sound sample into a feature frequency spectrum. The method further includes applying, via the processor, broad spectrum matching to compare the feature frequency spectrum to at least one drone sound signature stored in a database, the at least one drone sound signature corresponding to a flight characteristic of a drone model. The method moreover includes, conditioned on matching the feature frequency spectrum to one of the drone sound signatures, transmitting, via the processor, an alert. | 03-24-2016 |
