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Identified Problem
Continental Automotive Singapore develops instrument clusters and displays for vehicles, which requires extensive testing to ensure the correctness of the displayed information. The traditional testing process is time-consuming, as testers have to manually verify the product against requirements. This leads to a need for a faster and more reliable way to perform these tests. Additionally, the project team included apprentices with no prior automotive industry knowledge.
AI Solution
An AI model based on computer vision was developed in partnership with AI Singapore (AISG). This AI model is designed to verify the layout and interface of the instrument cluster display, effectively and efficiently, against customer requirements. The AI solution aims to automate and improve the testing process.
Key Features
- The AI model utilizes computer vision to analyze the instrument cluster display.
- It verifies the layout and interface of the display.
- The AI model automates the verification process, reducing testing time.
Benefits of AI Solution
- Higher test quality and more comprehensive test coverage were achieved.
- Hundreds of test hours were saved, resulting in significant time savings.
- The AI algorithm can be integrated into the test environment.
- The solution can be deployed into customer projects.
- The solution has the potential to be shared with Continental’s worldwide development team.
Impact of AI Solution
- The AI solution enables faster and more reliable testing of automotive instrument clusters.
- The solution can be deployed in trial projects and potentially be integrated into future projects.
