Interactive wall

Interactive wall is an interactive system using a 3D camera, like Kinect, for engaging children in educational and entertainment activities. The components of this system are:

System Components and Workflow

1. 3D Camera (Kinect):
   • Purpose: Captures 3D depth images of the environment and objects.
   • Challenges:
     • Depth Estimation: Accurately measuring the distance of objects from the camera.
     • Camera Tilt: Understanding how tilting affects depth perception and image quality.
     • Calibration: Ensuring the camera is correctly calibrated to provide accurate depth information.
2. Image Processing Processor:
   • Purpose: Performs real-time image processing algorithms on the 3D data to interpret and interact with the images.
   • Challenges:
     • Processing Speed: Ensuring the algorithms run quickly enough to provide real-time feedback.
     • Algorithm Accuracy: Developing algorithms that can accurately interpret depth data and handle variations in lighting and perspective.
3. Artificial Intelligence Engine (Python):
   • Purpose: Uses AI algorithms to enhance interactivity, such as recognizing gestures or analyzing the child’s actions.
   • Challenges:
     • Integration: Ensuring smooth communication between the Python-based AI and the image processing module.
     • Model Training: Training AI models to recognize and react to the various inputs from the Kinect.
4. Software for Initial Settings and Game Type Determination (C#):
   • Purpose: Provides a user interface for setting up the system and selecting different games or educational activities.
   • Challenges:
     • User Interface Design: Creating an intuitive interface for users to configure settings and choose games.
5. Game Development (UNITY):
   • Purpose: Creates the interactive games or educational activities.
   • Challenges:
     • Integration: Integrating real-time 3D data with the Unity game environment.
     • Interactivity: Ensuring the games respond correctly to the child’s actions and movements.

Applications

• Education:
  • Language Learning: Games can be designed to teach new vocabulary or language skills through interactive play.
  • Math Education: Educational games can help teach basic arithmetic and problem-solving skills in a fun and engaging way.
• Entertainment:
  • Engagement: Creating interactive experiences that keep children entertained while also learning.
  • Children with Autism: Developing tailored activities that can help improve social interaction, motor skills, or sensory processing.

Addressing Challenges

• Camera Calibration: Use calibration tools and techniques to ensure the camera’s depth measurements are accurate. This might involve capturing calibration patterns or using known reference objects.

• Depth Estimation: Implement algorithms that can handle variations in object distance and environmental factors. Machine learning models can be trained to improve depth estimation accuracy.

• Tilt Compensation: Use mathematical models or calibration data to adjust for camera tilt, ensuring that depth information remains accurate even if the camera is not perfectly aligned.

• Real-time Processing: Optimize algorithms and code to handle real-time data processing. This may involve using efficient data structures, parallel processing, or dedicated hardware acceleration.

By addressing these challenges and leveraging the strengths of each component, you can create a robust system that provides interactive and educational experiences for children.

Interactive Smart Wall:

• Created an Interactive Smart Wall, enabling the display of interactive images on an ordinary wall.
• Developed diverse interactive games for entertainment and engagement on the wall.
• Implemented intelligent and interactive advertising features on the wall, providing an innovative promotional platform.

Location of Execution: Mashhad Municipality, participation in exhibitions, Ferdowsi University.