How to Build Your Own Amazon Rekognition
Replace Amazon Rekognition with a custom build. Automate and lower the cost of your image recognition and video analysis with ML
Build Difficulty: 5/5
Build a working replacement in a weekend with AI tools
Estimated Timeline
Based on 18 features at Weekend Project difficulty, expect about One weekend with AI-assisted development.
Recommended Tech Stack
Full-stack React framework with API routes and server components
PostgreSQL database, auth, and real-time subscriptions
Utility-first styling for rapid UI development
Key Features to Replicate
Top features across 8 categories. See all 18 features
Face Recognition(5 features)
Identify well-known people to catalog photos and footage for media, marketing, and advertising
Detect faces appearing in images and videos and recognize attributes such as open eyes, glasses, and facial hair for each face
Detect real users and deter bad actors using spoofs in seconds during facial verification
Search and match faces against stored face metadata to identify individuals in collections
Use facial comparison and analysis in user onboarding and authentication workflows to remotely verify identity of opted-in users
Video Analysis(4 features)
Detect shot transitions and key segments in videos
Analyze videos stored in Amazon S3 with multiple API capabilities
Process real-time video streams from Kinesis Video Streams for up to 120 seconds per event
Detect key segments in videos such as black frames, start or end credits, slates, color bars, and shots
Object Detection(3 features)
Detect custom objects such as brand logos using automated machine learning (AutoML) to train models with as few as 10 images
Detect people in images and videos
Detect the presence of protective equipment like hard hats, goggles, and masks
Image Analysis(2 features)
Detect image quality and dominant colors in images
Detect objects, scenes, activities, landmarks, dominant colors, and image quality
Content Moderation(1 features)
Quickly and accurately identify unsafe or inappropriate content across image and video assets based on general or business-specific standards
Data Storage(1 features)
Store face vectors and user vectors for face and user search functionality
Machine Learning(1 features)
Train custom models for object and scene detection specific to business needs using AutoML
Text Recognition(1 features)
Extract skewed and distorted text from images and videos of street signs, social media posts, and product packaging
Cost Calculator
Pricing data not available for Amazon Rekognition. Check their website for current pricing.