AI Parking Management for Golf Clubs
Challenge
A budget-conscious, AI-based parking management system developed for private golf clubs to predict members’ visiting times and suggest the most appropriate parking lots derived from past data records.
A budget-conscious, AI-based parking management system developed for private golf clubs to predict members’ visiting times and suggest the most appropriate parking lots derived from past data records.
Solution
For the app, we chose React Native because of its cross-device capabilities and thus fast iteration cycle, along with a Node.js backend and MongoDB to manage member and parking data. As far as the development process itself is concerned, we decided to split it into five sub-steps:
- Backend Integration: We connected to an already existing member database through a RESTful API to retrieve car numbers and visit records.
AI Model Development: Next, we trained a machine learning model to foretell visit times and deployed it with TensorFlow Lite for the offline mode. - Live Updates: We used WebSocket and Firebase to activate immediate communication between staff devices and the backend.
- Car Number Recognition: Next, our developers embedded OCR technology (via react-native-vision-camera) to scan license plates. We also added the manual entry mode as a backup.
- Staff-Oriented UI: Finally, we made up a simple interface with reusable components of React Native so that the users could easily run the app.
For the app, we chose React Native because of its cross-device capabilities and thus fast iteration cycle, along with a Node.js backend and MongoDB to manage member and parking data. As far as the development process itself is concerned, we decided to split it into five sub-steps:
- Backend Integration: We connected to an already existing member database through a RESTful API to retrieve car numbers and visit records.
AI Model Development: Next, we trained a machine learning model to foretell visit times and deployed it with TensorFlow Lite for the offline mode. - Live Updates: We used WebSocket and Firebase to activate immediate communication between staff devices and the backend.
- Car Number Recognition: Next, our developers embedded OCR technology (via react-native-vision-camera) to scan license plates. We also added the manual entry mode as a backup.
- Staff-Oriented UI: Finally, we made up a simple interface with reusable components of React Native so that the users could easily run the app.
Results
At the end of the project, we received the following outcomes:
We created and deployed the app within three months with only 1 front-end developer (React Native), 1 back-end/AI developer, and 1 UI/UX designer.
We deployed the app on iOS and Android, achieving 85% accuracy in AI predictions of visit duration. Additionally, we reduced parking allocation time by 50%, and received positive staff feedback, rating the app 4.7/5. We also slashed the overall development expenses by around 40%.
The app rationalized parking management and improved club member service, as well as left space for future reinforcements, including weather-based adjustments and advanced AI capabilities.
At the end of the project, we received the following outcomes:
We created and deployed the app within three months with only 1 front-end developer (React Native), 1 back-end/AI developer, and 1 UI/UX designer.
We deployed the app on iOS and Android, achieving 85% accuracy in AI predictions of visit duration. Additionally, we reduced parking allocation time by 50%, and received positive staff feedback, rating the app 4.7/5. We also slashed the overall development expenses by around 40%.
The app rationalized parking management and improved club member service, as well as left space for future reinforcements, including weather-based adjustments and advanced AI capabilities.