Android Event Photo Booth App
Budget: $30 – $250 USD
? Project Description: Event Photo Booth App
Project Overview:
We are looking for an experienced Android developer to build a professional Event Photo Booth App that will operate on a dedicated device installed in a booth with a fixed background. The app should automatically capture high-quality photos of individuals or groups standing in front of the background when they are steady and properly positioned. The key goal is to create a smooth and hands-free photo-capturing experience, with automatic uploading of captured photos to an Amazon S3 bucket.
Key Features:
✅ Auto Capture with Face and Pose Detection:
The app should use the CameraX library and ML Kit face detection to identify when all subjects in the frame are steady and well-positioned.
The app should only trigger the photo capture when all subjects are ready (not moving or adjusting position).
✅ Countdown Timer:
Once the app detects a stable pose, it should initiate a 3-second countdown before capturing the photo.
A visual and/or audio indicator (like a flashing light or beep) should be shown during the countdown.
✅ High-Quality Photo Capture:
Use CameraX to capture high-resolution photos.
Optimize camera settings for various lighting conditions to ensure clear and sharp images.
✅ Direct Upload to AWS S3:
Automatically upload captured photos to a specific folder in the Amazon S3 bucket.
Ensure secure transfer using AWS SDK and proper authentication.
Project Overview:
We are looking for an experienced Android developer to build a professional Event Photo Booth App that will operate on a dedicated device installed in a booth with a fixed background. The app should automatically capture high-quality photos of individuals or groups standing in front of the background when they are steady and properly positioned. The key goal is to create a smooth and hands-free photo-capturing experience, with automatic uploading of captured photos to an Amazon S3 bucket.
Key Features:
✅ Auto Capture with Face and Pose Detection:
The app should use the CameraX library and ML Kit face detection to identify when all subjects in the frame are steady and well-positioned.
The app should only trigger the photo capture when all subjects are ready (not moving or adjusting position).
✅ Countdown Timer:
Once the app detects a stable pose, it should initiate a 3-second countdown before capturing the photo.
A visual and/or audio indicator (like a flashing light or beep) should be shown during the countdown.
✅ High-Quality Photo Capture:
Use CameraX to capture high-resolution photos.
Optimize camera settings for various lighting conditions to ensure clear and sharp images.
✅ Direct Upload to AWS S3:
Automatically upload captured photos to a specific folder in the Amazon S3 bucket.
Ensure secure transfer using AWS SDK and proper authentication.