Skoda uses artificial intelligence for even more accurate car diagnostics
11 Oct 2020|1,266 views
Skoda is testing a new smartphone app it calls the 'Sound Analyser'. The application uses artificial intelligence (AI) to 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 application uses an algorithm to determine what they are and how they can be resolved. In this way, the Sound Analyser helps to make vehicle maintenance more efficient, reduce the time a car spends at the workshop and achieve even higher levels of customer satisfaction.
For this purpose, the program considers various vehicle-specific parameters and analyses the usage profile of the respective car.
This makes it easier for technicians to perform accurate vehicle diagnostics as they will only need a smartphone or tablet.
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 over 90% accuracy - including for components such as the steering system, the air conditioning compressor, and the clutches in the direct-shift gearbox. The app is also set up to recognise further sound patterns.
The app has been trialled in 14 countries - including Germany, Russia, Austria and France - since June 2019. A total of 245 Skoda dealers have been taking part in the pilot project.
They are instrumental in providing the audio recordings for the software's 'learning process' and are thus directly contributing to the program's development.
The gradual introduction of technologies for determining any acoustic deviations from the norm will open up a wealth of new possibilities in terms of sensor-based, predictive maintenance in future. In addition, the vehicle's online connection can be used to arrange an appointment directly with the responsible workshop if necessary.
Skoda is testing a new smartphone app it calls the 'Sound Analyser'. The application uses artificial intelligence (AI) to 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 application uses an algorithm to determine what they are and how they can be resolved. In this way, the Sound Analyser helps to make vehicle maintenance more efficient, reduce the time a car spends at the workshop and achieve even higher levels of customer satisfaction.
For this purpose, the program considers various vehicle-specific parameters and analyses the usage profile of the respective car.
This makes it easier for technicians to perform accurate vehicle diagnostics as they will only need a smartphone or tablet.
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 over 90% accuracy - including for components such as the steering system, the air conditioning compressor, and the clutches in the direct-shift gearbox. The app is also set up to recognise further sound patterns.
The app has been trialled in 14 countries - including Germany, Russia, Austria and France - since June 2019. A total of 245 Skoda dealers have been taking part in the pilot project.
They are instrumental in providing the audio recordings for the software's 'learning process' and are thus directly contributing to the program's development.
The gradual introduction of technologies for determining any acoustic deviations from the norm will open up a wealth of new possibilities in terms of sensor-based, predictive maintenance in future. In addition, the vehicle's online connection can be used to arrange an appointment directly with the responsible workshop if necessary.
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