A naukri.com initiative
Hackernoon
1M
353
Image Credit: Hackernoon
Using AWS Rekognition to Power Object Detection for Recommendations and Content Moderation
- Developers can analyze content to boost user experience and engagement
- Content moderation is essential for meeting the moderation requirements of app stores
- Hiring human moderators might be one option but as app and UGC grow, workload increases too. So, automated systems are an option to keep things manageable
- Personalized content recommendations become more important as the app scales. Computer vision can be used to automatically categorize images and videos to offer smarter recommendations
- An AWS Rekognition-powered, cloud-based serverless solution is suggested for object detection. It uses Rekognition for detecting objects in images and videos and getting labels and moderation labels for those objects
- For images, various AWS services are used to detect and store detected labels in the DB
- For videos, the Serverless solution uses StartLabelDetection and StartModerationLabelDetection API instead of DetectLabels and DetectModerationLabels APIs
- An SNS topic is used for notifications for the processed videos
- Automated object detection solution aligns well with the key priorities of app developers that deal with user-generated images and videos
- This solution offer a rapid deployment process, minimal code maintenance, and no idle-time costs
Read Full Article
21 Likes
For uninterrupted reading, download the app