1. Services Overview
Amazon Recognition
Amazon Confession: A cloud-based image and video analysis service that allows you to add advanced computer vision capabilities to your applications.
2. Key Features
- Detect and recognize printed and handwritten text in images and videos in multiple languages.
- Detect and filter explicit, inappropriate and violent content.
- Detect, analyze and compare faces.
- Analyze image properties such as quality, color, sharpness, contrast.
- Automatically identify useful parts of a video.
Amazon Rekognition offers 99.999999999% data reliability, supports up to 15 MB of images and 3 hours or 50 GB of video, and is available in multiple AWS regions with specific API rate limits.
3. Use cases
- Useful for creating searchable libraries of images and videos.
- For identity verification in applications
- With Rekognition, you can search images, stored videos, and streaming videos for faces that match faces stored in a container known as a face collection.
- Uses tags for detailed filtering based on business needs.
4. Pricing model
Amazon Rekognition follows a pay-as-you-go pricing model with specific rates for image analysis, video analysis, custom tagging, and facial liveness, as well as a free tier for new users.
5. Comparison with similar services
Amazon Rekognition vs Google Cloud Vision
Amazon Rekognition excels at object detection and facial analysis with tight integration with AWS, while Google Cloud Vision offers superior OCR capabilities and strong support for the Google ecosystem.
6. Advantages and problems
- Integrate powerful image and video analysis into your application
- Integration with other AWS services
- Budget
- Analyze and filter images based on properties.
- Easy setup
7. Real life example
In e-commerce, Amazon uses Amazon Rekognition for several key applications:
- Product classification: Automates the accurate and efficient sorting and classification of vast quantities of product images.
- Visual search: Allows shoppers to search for products using images, improving the shopping experience and making it easier to find the products they want.
- Content moderation: Monitors user-uploaded images and videos for inappropriate content, ensuring a safe and trustworthy marketplace.
- Customer Sentiment Analysis: Analyzes customer images and videos to gauge their reactions and improve marketing strategies.
- Fraud Detection: Detects and mitigates fraudulent activity by analyzing images and videos for suspicious patterns.