# US 12,601,630 B2 · Vehicle-related event detection using signal processing > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,601,630 B2 - Document ID: US12601630B2 - Status: Granted - Kind: B2 - Application number: 18/394,542 - Filed: 2023-12-22 - Published: 2024-06-27 - Granted: 2026-04-14 - Earliest claimed: 2022-12-22 - Assignees: Agm Technologies Limited - Applicants: Agm Technologies Limited - Inventors: Stephen William Cowper - Web page: https://patentgrep.com/patent/US12601630B2 ## CPC - G01H 3/06: by electric means - G01H 1/00: Measuring {characteristics of} vibrations in solids by using direct conduction to the detector (G01H9/00, G01H11/00 take precedence) - H04R 1/028: {associated with devices performing functions other than acoustics, e.g. electric candles} - H04R 1/08: Mouthpieces; {Microphones;} Attachments therefor - H04R 3/04: for correcting frequency response - H04R 2430/03: Synergistic effects of band splitting and sub-band processing - H04R 2499/13: Acoustic transducers and sound field adaptation in vehicles - G01H: MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES - H04R: LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; ELECTRIC HEARING AIDS; PUBLIC ADDRESS SYSTEMS (producing sounds with frequency not determined by supply frequency G10K) ## Abstract There is provided a method of, and a corresponding system for, detecting an event related to vehicle integrity, such as an oblique angle or side swipe type crash. The method may include using a microphone to transduce sound into an analog audio signal, and then using an analog signal processor analogically transforming said analog audio signal in the time-frequency domain, including dividing the audio signal into a plurality of time segments, and each time segment into a plurality of signal components in a plurality of predetermined frequency bands. Such time-frequency spectrogram can be evaluated by the signal processor in order to detect vehicle integrity-related events. Accordingly, the system only requires ultra-low power, since no (analog) to digital conversion is required. This is advantageous in applications such as battery powered continuous vehicle monitoring. The method may also be carried out recurring to digital signal processing, that is in the digital domain. ## Claims ### Claim 1 A method of detecting an event related to vehicle integrity, the method comprising: providing a microphone inside a vehicle; using said microphone, continuously generating an analog audio signal; providing an analog signal processor also inside said vehicle, associated to said microphone; using said analog signal processor, computing a time-frequency spectrogram of said analog audio signal, wherein said computing comprises dividing said analog audio signal into a plurality of time segments, and decomposing said time segments of the analog audio signal into a plurality of signal components in predetermined frequency bands; wherein said dividing the analog audio signal into a plurality of time segments is performed in parallel on the same audio signal according to at least two temporal windows having different durations; and, using said analog signal processor, evaluating said time-frequency spectrogram to detect said vehicle integrity-related event, whereby at least the computing and evaluating are fully carried out in the analog domain, and without digital signal processing. ### Claim 2 (depends on 1) The method of claim 1, wherein said predetermined frequency bands are non-overlapping and are sequentially disposed within the frequency range 0 to 22.5 kHz. ### Claim 3 (depends on 2) The method of claim 2, wherein said frequency bands are centered at one or more of: 1.25 kHz; 3.75 kHz; 7.5 kHz; 12.5 kHz and 18.5 kHz. ### Claim 4 (depends on 1) The method of claim 1, wherein said computing a time-frequency spectrogram comprises calculating a power spectral density for each of the plurality of time segments and signal components. ### Claim 5 (depends on 1) The method of claim 1, wherein said decomposing the time segments of the analog audio signal into a plurality of signal components in predetermined frequency bands comprises analog band-pass filtering. ### Claim 6 (depends on 5) The method of claim 5, wherein said evaluating the time-frequency spectrogram to detect said vehicle integrity-related event comprises detecting a peak for each time segment and/or signal component of the analog audio signal. ### Claim 7 (depends on 6) The method of claim 6, wherein said detecting a peak is carried out in connection with a first temporal window of the at least two temporal windows, having a duration shorter than a second temporal window of the at least two temporal windows. ### Claim 8 (depends on 7) The method of claim 7, wherein said evaluating the time-frequency spectrogram to detect said vehicle integrity-related event comprises low-pass filtering and amplifying each time segment and/or signal component of the analog audio signal. ### Claim 9 (depends on 8) The method of claim 8, wherein said low-pass filtering and amplifying is carried out in connection with the second temporal window, the second temporal window having a duration longer than the first temporal window. ### Claim 10 (depends on 9) The method of claim 9, wherein said evaluating the time-frequency spectrogram to detect said vehicle integrity-related event comprises comparing the peaks detected in connection with the first temporal window with the peaks detected in connection with the second temporal window. ### Claim 11 (depends on 10) The method of claim 10, wherein comparing said peaks comprises determining whether a difference between said peaks exceeds a predetermined threshold. ### Claim 12 (depends on 11) The method of claim 11, wherein said predetermined threshold varies depending on a frequency band of the predetermined frequency bands associated with the evaluated signal component. ### Claim 13 (depends on 10) The method of claim 10, wherein said evaluating the time-frequency spectrogram to detect said vehicle integrity-related event comprises selecting one or more signal components corresponding to one or more high frequency bands of the predetermined frequency bands. ### Claim 14 (depends on 1) The method of claim 1, further comprising providing acoustic reference data for carrying out said evaluating. ### Claim 15 (depends on 14) The method of claim 14, further comprising updating said acoustic reference data by supplying an acoustic feed-forward parameter representative of a specific vehicle integrity-related event. ### Claim 16 (depends on 1) The method of claim 1, further comprising: providing an accelerometer, also associated to said vehicle, microphone and analog signal processor; using said accelerometer, generating analog inertial data related to motion of the vehicle; and, using the analog signal processor, assessing said inertial data to detect said vehicle integrity-related event. ### Claim 17 (depends on 16) The method of claim 16, further comprising providing inertial reference data for carrying out said assessing. ### Claim 18 (depends on 17) The method of claim 17, further comprising updating said inertial reference data, for example by providing an inertial feed-forward parameter representative of a specific vehicle integrity-related event. ### Claim 19 (depends on 1) The method of claim 1 further comprising: providing a vibration sensor rigidly mounted, directly or indirectly, to a structural element of the vehicle; using said vibration sensor, generating analog vibration data related to vibration of the vehicle; and, using the analog signal processor, assessing said vibration data to detect said vehicle integrity-related event. ### Claim 20 (depends on 19) The method of claim 19, wherein said vehicle integrity-related event is confirmed and/or recorded as having taken place only if both the assessments of the audio and vibration data carried out by the analog signal processor are positive. ### Claim 21 (depends on 19) The method of claim 19, further comprising categorizing the detected vehicle integrity-related event according to said inertial data and/or according to said vibration data. ### Claim 22 (depends on 21) The method of claim 21, further comprising outputting one or more feedback parameters for updating said evaluating the time-frequency spectrogram. ### Claim 23 (depends on 1) Apparatus for detecting the event related to vehicle integrity, the apparatus being adapted to carry out the method of claim 1 and comprising: the microphone adapted to continuously generate an analog audio signal; and the analog signal processor configured to: compute the time-frequency spectrogram of said analog audio signal, wherein said computing comprises dividing said analog audio signal into the plurality of time segments, and decomposing said time segments of the analog audio signal into the plurality of signal components in the predetermined frequency bands; and, evaluate said time-frequency spectrogram to detect said vehicle integrity-related event. ### Claim 24 (depends on 23) A telematic device for continuous vehicle monitoring for insurance purposes, the telematic device comprising the apparatus of claim 23. ### Claim 25 (depends on 24) A telematic system comprising the telematic device of claim 24. ### Claim 26 (depends on 23) A vehicle comprising the apparatus of claim 23, wherein said apparatus is located inside a passenger cabin of the vehicle.