We developed AutoSign for Stewart Signs to bring a new level of accuracy and efficiency to rail safety inspections through AI. Our solution has the following features:
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Backend Server: Built with Python, the backend server employs a custom-trained computer vision model to detect missing or damaged signs in train vehicles with high precision.
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Cloud Database: Processed inspection data is stored in a Firebase cloud database, which the mobile application queries and visualizes.
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Mobile Application: Developed with Flutter, the mobile app allows inspectors to photograph train vehicles and view the AI model's analysis of damaged or missing signs.
Flutter
Python
Firebase
Contact us to learn more.