Timelapse Cloud: Automated Timelapse Processing and Hosting
Source: brettbeeson.com.au
This project establishes an automated pipeline to process timelapse photos into videos using AWS S3 for storage and EC2 spot instances for heavy video processing. It utilizes custom Python scripts and FFmpeg to organize, convert, and host timelapse content via a serverless web interface.
Categorisation
Stage 3: Architect (11-13+)Systemic & Design ThinkingTabletop & Physical PropsCoding Activity
Props & Materials Required
- •Raspberry Pi camera setup
- •AWS Account
- •AWS S3 bucket
- •AWS EC2 Spot Instances
- •Linux-based operating system
- •ffmpeg
- •s3fs
- •Python 3
- •git
- •AWS CLI
Why It Works & Notes
Parent Note:
Cloud infrastructure, AWS CLI usage, video transcoding with FFmpeg, Linux service management, and serverless web architecture principles.