Streamline QA, minimize errors, and accelerate development with AuroraTests – an automated HMI testing framework powered by Computer Vision
Leverage advanced CV algorithms to accurately identify and interact with elements on the HMI screen.
Mimic user interactions with high accuracy to ensure the HMI responds correctly.
Control power and lifcycle states of the HMI device in the test.
Capture and analyze logs in real-time to quickly identify and resolve issues.
Perform seamless updates to the target software, ensuring your HMI is always up-to-date.
Support for protocols like CAN and FlexRay to test the HMI in complex automotive environments.
Introduction to Automated Lifecycle Management Imagine testing a complex infotainment system in an autonomous vehicle. Each time you need to simulate a power cycle, initiate
When building complex HMI testing applications and interfaces, the need for comprehensive frameworks is extremely important.
When building complex HMI testing applications and interfaces, the need for comprehensive frameworks is extremely important.
AuroraTests represents the future of HMI testing, combining advanced Computer Vision techniques with an intuitive and powerful Python API. By leveraging its comprehensive feature set, testers can achieve greater efficiency, accuracy, and reliability in their testing processes.
Our framework is designed to integrate at different levels with the HMI system.
This flexibility ensures AuroraTests can meet the diverse needs of any project.
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