Total Support for a Photography Service Using New AWS Services
Sen Corporation
Applied Services: Amazon Rekognition, AWS Migration
Sen Corporation operates a photo-based web service for kindergarten photographers — enabling photographers to upload candid photos from educational settings and sell them directly to guardians. To enhance the photo discovery experience and improve platform performance, the company migrated from another cloud provider to AWS and implemented Amazon Rekognition for facial recognition functionality.
Migration from Another Cloud Service to AWS
Sen Corporation selected AWS for its superior storage capabilities, durability, and security. The migration enabled the team to leverage Amazon S3's proven reliability alongside advanced AI services not available on their previous platform.
Supporting Usage of Advanced Services
Facial Recognition Architecture
When a photo is uploaded to Amazon S3, the event triggers AWS Lambda which passes the image to Amazon Rekognition for identity matching. The entire process completes within seconds — dramatically improving the guardian experience when searching for photos of their children.
Classmethod provided SDK-level code assistance alongside AWS consulting and Classmethod Members total support — ensuring the development team could confidently implement cutting-edge AI services for the first time.
Results Achieved
- • Identity matching completed within seconds per photo
- • Significantly improved guardian experience when searching for children's photos
- • Successfully migrated from competing cloud provider to AWS
- • Amazon S3 provides superior durability and security for photo storage
This case study uses Amazon Rekognition and AWS Migration.
Classmethod helps businesses migrate to AWS and implement advanced AI/ML services like Amazon Rekognition — providing SDK-level guidance to ensure successful adoption of cloud-native capabilities.