Abstract: A mobile vehicle diagnostic device (MVDD) for acquiring data about a vehicle, the device comprising: a housing configured to be mechanically coupled to the vehicle so that, when the housing is mechanically coupled to the vehicle, vibration generated by the vehicle during its operation causes the housing to vibrate; acoustic sensors disposed within the housing and configured to acquire sound generated by the vehicle during its operation, the acoustic sensors comprising first and second acoustic sensors respectively oriented in first and second directions, wherein the first and second directions are at least 30 degrees apart; at least one dampening device disposed in the housing and positioned to dampen vibration of the acoustic sensors caused by operation of the vehicle; and at least one vibration sensor disposed within the housing and configured to sense vibration in the housing caused by the operation of the vehicle.

Abstract: A mobile vehicle diagnostic device (MVDD) for acquiring data about a vehicle, the device comprising: a housing configured to be mechanically coupled to the vehicle so that, when the housing is mechanically coupled to the vehicle, vibration generated by the vehicle during its operation causes the housing to vibrate; acoustic sensors disposed within the housing and configured to acquire sound generated by the vehicle during its operation, the acoustic sensors comprising first and second acoustic sensors respectively oriented in first and second directions, wherein the first and second directions are at least 30 degrees apart; at least one dampening device disposed in the housing and positioned to dampen vibration of the acoustic sensors caused by operation of the vehicle; and at least one vibration sensor disposed within the housing and configured to sense vibration in the housing caused by the operation of the vehicle.

Abstract: A mobile vehicle diagnostic device (MVDD) for acquiring data about a vehicle, the device comprising: a housing configured to be mechanically coupled to the vehicle so that, when the housing is mechanically coupled to the vehicle, vibration generated by the vehicle during its operation causes the housing to vibrate; acoustic sensors disposed within the housing and configured to acquire sound generated by the vehicle during its operation, the acoustic sensors comprising first and second acoustic sensors respectively oriented in first and second directions, wherein the first and second directions are at least 30 degrees apart; at least one dampening device disposed in the housing and positioned to dampen vibration of the acoustic sensors caused by operation of the vehicle; and at least one vibration sensor disposed within the housing and configured to sense vibration in the housing caused by the operation of the vehicle.

Abstract: Techniques for using a trained machine learning (ML) model to detect presence of vehicle defects from audio acquired at least in part during operation of an engine of a vehicle. The techniques include using at least one computer hardware processor to perform: obtaining, via at least one communication network, a first audio recording that was acquired, using at least one acoustic sensor, at least in part during operation of the engine; processing the first audio recording using the trained ML model to detect, from the first audio recording, presence of at least one vehicle defect, the processing comprising: generating an audio waveform from the first audio recording, generating a two-dimensional (2D) representation of the audio waveform, and processing the audio waveform and the 2D representation of the audio waveform using the trained ML model to obtain output indicative of presence or absence of the at least one vehicle defect.