DroidRun Bimodal Recognition Technology Analysis
As an innovative tool in the field of Android automation, DroidRun's core technological breakthrough lies in a bimodal recognition system that integrates visual parsing and UI structure analysis. The visual parsing module captures the screen content in real time through computer vision algorithms to recognize visible interactive elements; while the UI structure analysis directly decodes the underlying UI component tree of the system to accurately obtain the hierarchical structure and attributes of the controls. This combined recognition strategy enables DroidRun to achieve a positioning accuracy of over 95%, far exceeding traditional solutions that rely solely on OCR technology.
- In shopping application scenarios, AI can penetrate pop-up ads to accurately click on targeted buttons
- In information input scenarios, the system can automatically distinguish between password boxes and ordinary text boxes.
- Intelligent calculation of scrolling distance during sliding operation, simulating the natural manual operation curve.
The technical architecture effectively solves the 'glass wall' problem in the field of mobile automation, enabling machine operations to fully achieve the operational precision of human users.
This answer comes from the articleDroidRun: an open source tool for AI to automate Android phonesThe
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