QUANTUM Inspector
Diagnostic tooling for Android Automotive HMI QA
Jan 2026 – present
The problem
UI automation for automotive HMI fails on selector fragility. Writing robust Maestro flows requires understanding live screen state first, and that reasoning was happening informally, without traceable evidence behind it.
Approach
- Screen mirroring and live UI-hierarchy inspection against real test-rack devices over ADB.
- Snapshot-based evidence capture, so a diagnostic conclusion can be pointed at the state that produced it.
- Scoped locator generation to cut selector guesswork before flows are scaled into automated regression runs.
Outcome
Positioned deliberately as a human-in-the-loop diagnostic layer rather than an execution framework — improving the quality of decisions that later get scaled through Maestro automation.
Built with
- Python
- Qt
- ADB
- Maestro
- Android Automotive