AR-Enabled, Interactive PC Photo Booth
Budget: $250 – $750 USD
*Project Specification: AR Photo Booth with Prop Selection for PC*
*Project Overview:*
Develop an Augmented Reality (AR) photo booth application that allows users to select digital props (e.g., hats, glasses) and virtually wear them or interact with them in real-time using a PC. The application will capture a photo of the user with the selected props, providing an engaging and immersive experience.
---
*Key Features:*
1. *Real-time AR Experience:*
- The application will use the PC's webcam to capture live video feed.
- Real-time AR rendering of selected props (e.g., hats, glasses) that users can interact with and overlay onto their image.
2. *Prop Selection:*
- Users can choose from a set of pre-designed 2D/3D props displayed in a user-friendly interface.
- Props should be able to be resized, rotated, and positioned on the user's face or body.
3. *Photo Capture:*
- Users can take a picture with the selected props, which is saved to their local machine or cloud storage.
- Option to share or print the captured photo.
4. *Cross-platform Support:*
- The application will work on Windows or Mac PCs via a browser or as a standalone desktop app.
5. *Customizable Props:*
- Ability to add new props easily, either as 2D images (e.g., PNG) or 3D models (e.g., GLTF/GLB files).
6. *User Interface:*
- Simple, intuitive interface for selecting, adjusting, and capturing photos with props.
- Button to reset the image and clear props.
---
*Technical Requirements:*
1. *AR Engine & Object Rendering:*
- Use *Three.js* (for web-based) or *OpenCV* and *WebGL* for real-time object overlay.
- For 3D props: Use *GLTF/GLB* file format for objects (e.g., hats, glasses).
- For 2D props: Use *PNG* format with transparency.
2. *Webcam Integration:*
- Integrate the user's webcam feed into the application using *HTML5* video or *WebRTC*.
- Implement face tracking using *face-api.js* or *TensorFlow.js* for positioning props correctly.
3. *Photo Capture & Saving:*
- Implement a feature to capture the live feed as an image.
- Save captured photos in *JPG* or *PNG* format.
- allow user to enter email through the onscreen keyboard if they wish to have their photo send to them.
4. *Development Framework:*
- *Web-based app*: Build using *HTML5, CSS3, JavaScript* with *Three.js* or *AR.js* for AR integration.
- *Desktop app*: Optionally, use *Electron.js* for building a cross-platform desktop app.
5. *Hosting/Storage :*
- If saving images online, use *AWS S3*, *Google Cloud Storage*, or *Firebase* for cloud storage.
- Ensure images are stored with proper privacy and access controls.
---
*Timeline and Deliverables:*
1. *Phase 1 - Research & Design* (1-2 weeks):
- Identify and source props (2D/3D).
- Define user interface layout and interaction flow.
2. *Phase 2 - Development* (4-6 weeks):
- Build webcam integration and AR object rendering.
- Implement prop selection and real-time rendering features.
- Develop photo capture and saving functionality.
3. *Phase 3 - Testing & Deployment* (2 weeks):
- Test AR functionality on different PC setups.
- Test prop interactions and photo capture quality.
- Launch the web-based version or desktop app.
---
*Budget:*
- *Estimated cost*: To be discussed based on scope and team size.
*Key Technologies:*
- *Web-based*: Three.js, face-api.js, TensorFlow.js, HTML5, CSS3, JavaScript.
- *Desktop*: Electron.js, WebRTC, OpenCV.
- *Prop Formats*: GLTF/GLB (3D), PNG (2D).
- *Cloud Storage* (optional): AWS S3, Firebase.
---
This specification outlines a practical roadmap for creating an AR-powered photo booth application where users can interact with props in real-time and capture fun, customized photos.
*Project Overview:*
Develop an Augmented Reality (AR) photo booth application that allows users to select digital props (e.g., hats, glasses) and virtually wear them or interact with them in real-time using a PC. The application will capture a photo of the user with the selected props, providing an engaging and immersive experience.
---
*Key Features:*
1. *Real-time AR Experience:*
- The application will use the PC's webcam to capture live video feed.
- Real-time AR rendering of selected props (e.g., hats, glasses) that users can interact with and overlay onto their image.
2. *Prop Selection:*
- Users can choose from a set of pre-designed 2D/3D props displayed in a user-friendly interface.
- Props should be able to be resized, rotated, and positioned on the user's face or body.
3. *Photo Capture:*
- Users can take a picture with the selected props, which is saved to their local machine or cloud storage.
- Option to share or print the captured photo.
4. *Cross-platform Support:*
- The application will work on Windows or Mac PCs via a browser or as a standalone desktop app.
5. *Customizable Props:*
- Ability to add new props easily, either as 2D images (e.g., PNG) or 3D models (e.g., GLTF/GLB files).
6. *User Interface:*
- Simple, intuitive interface for selecting, adjusting, and capturing photos with props.
- Button to reset the image and clear props.
---
*Technical Requirements:*
1. *AR Engine & Object Rendering:*
- Use *Three.js* (for web-based) or *OpenCV* and *WebGL* for real-time object overlay.
- For 3D props: Use *GLTF/GLB* file format for objects (e.g., hats, glasses).
- For 2D props: Use *PNG* format with transparency.
2. *Webcam Integration:*
- Integrate the user's webcam feed into the application using *HTML5* video or *WebRTC*.
- Implement face tracking using *face-api.js* or *TensorFlow.js* for positioning props correctly.
3. *Photo Capture & Saving:*
- Implement a feature to capture the live feed as an image.
- Save captured photos in *JPG* or *PNG* format.
- allow user to enter email through the onscreen keyboard if they wish to have their photo send to them.
4. *Development Framework:*
- *Web-based app*: Build using *HTML5, CSS3, JavaScript* with *Three.js* or *AR.js* for AR integration.
- *Desktop app*: Optionally, use *Electron.js* for building a cross-platform desktop app.
5. *Hosting/Storage :*
- If saving images online, use *AWS S3*, *Google Cloud Storage*, or *Firebase* for cloud storage.
- Ensure images are stored with proper privacy and access controls.
---
*Timeline and Deliverables:*
1. *Phase 1 - Research & Design* (1-2 weeks):
- Identify and source props (2D/3D).
- Define user interface layout and interaction flow.
2. *Phase 2 - Development* (4-6 weeks):
- Build webcam integration and AR object rendering.
- Implement prop selection and real-time rendering features.
- Develop photo capture and saving functionality.
3. *Phase 3 - Testing & Deployment* (2 weeks):
- Test AR functionality on different PC setups.
- Test prop interactions and photo capture quality.
- Launch the web-based version or desktop app.
---
*Budget:*
- *Estimated cost*: To be discussed based on scope and team size.
*Key Technologies:*
- *Web-based*: Three.js, face-api.js, TensorFlow.js, HTML5, CSS3, JavaScript.
- *Desktop*: Electron.js, WebRTC, OpenCV.
- *Prop Formats*: GLTF/GLB (3D), PNG (2D).
- *Cloud Storage* (optional): AWS S3, Firebase.
---
This specification outlines a practical roadmap for creating an AR-powered photo booth application where users can interact with props in real-time and capture fun, customized photos.