StoreSight: Real-Time Brand Visibility Tracking with YOLOv5 on AWS SageMaker for Retail Environments

/ Computer Vision & Image Processing, Generative AI on AWS use cases / By

Description

StoreSight uses YOLOv5 on AWS SageMaker to provide real-time banner detection and track brand visibility across retail environments. The platform offers high customizability for various branding needs and scales seamlessly with AWS infrastructure. Users interact via API Gateway for immediate, actionable insights on brand presence.

Practical Use Case and User Story

As a retail brand manager, I want to automatically detect and analyze brand banners in store images using a SageMaker-powered YOLOv5 model, so I can monitor brand visibility across retail locations. The system allows me to upload images via an API Gateway and receive banner classifications and bounding boxes, helping me track campaigns. The model is fine-tuned to my specific branding needs and store layouts. The pipeline automates retraining and deployment, ensuring scalability and minimal manual effort. Results can be easily integrated into existing dashboards for real-time insights.

Tech Stack Involved

AWS SageMaker, YOLOv5, Amazon API Gateway, Amazon S3, AWS Lambda, AWS CloudWatch, Python, Image Processing, Object Detection

Demo

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