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Sound Analyser: AI app for easier car diagnostics
Sound Analyser: AI app for easier car diagnostics
ŠKODA AUTO Digilab is trialing a new smartphone app: “Sound Analyser”. The app uses artificial intelligence (AI) to help ŠKODA AUTO After Sales department quickly and accurately identify the need for any servicing. The program records noises made by the respective vehicle whilst it is running and compares them with stored sound patterns. In the event of any discrepancies, the app uses an algorithm to determine what they are and how they can be resolved. In this way, “Sound Analyser” helps to make vehicle maintenance more efficient, reduce the time a car spends at the garage and achieve even higher levels of customer satisfaction.

The “Sound Analyser” app uses artificial intelligence to reliably, clearly and quickly assess the current condition of wearing parts and notify technicians of any required servicing. For this purpose, the program considers various vehicle-specific parameters and analyses the usage profile of the respective car. To this end, Sound Analyser makes it even easier for technicians to perform accurate diagnostics on a vehicle as they will only need a standard smartphone or tablet to use the app.

 

Sound Analyser 2

 

Although the program is highly complex, its operation is intuitive: the sounds made whilst the vehicle is running can be recorded using a smartphone. An algorithm then compares the recording with stored sound patterns and, based on this, provides a concrete description of the result. The software is already able to recognise ten patterns – with an accuracy of over 90 percent – including for components such as the steering system, the air conditioning compressor, and the clutches in the direct-shift gearbox (DSG). The app is also set up to recognise further sound patterns.

Neural network algorithms provide the technical basis for “Sound Analyser”. The app first converts the audio file into a spectrogram that visually depicts the acoustic signals. Using artificial intelligence, this representation is then compared with the stored recordings to identify deviations. To this end, the app categorises the potential need for upcoming maintenance or repairs based on predetermined patterns.

The smartphone app has been trialled in 14 countries – including Germany, Russia, Austria and France – since June 2019. A total of 245 ŠKODA dealers have been taking part in the pilot project. 


Read the full press release here.