The Challenges

• 01Limited Dataset Precision

  Insufficient datasets led to challenges in accurate artifact identification.

• 02Mobile Deployment Constraints

  Required a solution that operated efficiently on mobile devices without performance compromises.

• 03User Interaction

  Needed an application that was intuitive and capable of delivering seamless real-time information.

Our Solution

Our approach included:

• 01Custom TensorFlow Lite (TFLite) Model

  Optimized for mobile deployment, this model was designed to be lightweight yet capable of processing real-time data.

• 02Efficient Model Deployment

  We integrated the model into a user-friendly and responsive mobile app.

• 03Interactive User Interface

  The app's interface was designed to enhance visitor interactions, making learning both engaging and informative.

The Result

The deployment of the new artifact recognition system transformed the museum's visitor engagement:

• 01Enhanced Educational Experience

  Visitors reported significantly higher satisfaction due to the interactive nature of the information provided.

• 02Increased Visitor Footfall

  Notable increase in attendance, attributed to the improved interactive experience.

• 03Improved Learning Outcomes

  The app led to better visitor understanding and retention of information about the exhibits.