Visual AI-Based Inventory
Tracking For a Laundromat Operator 

Edge AI based garment tracking 

Client

Laundromat operators   Laundry service chains  

Industry

Laundry Services 
Retail Services   

Service

Garment tracking 
AI-based verification  

Use Case

Loss Prevention
Process Transparency

Technology

Visual AI
Edge Computing

Goal

Design and deploy an AI powered system capable of accurately tracking and verifying garments across the entire wash and fold workflow. The objective is to enable end to end visibility, reduce manual intervention, and ensure consistent and reliable operations in high volume laundromat environments.

Problem Statement

Wash and fold laundromats process thousands of garments daily, making manual tracking methods inefficient and error prone. Traditional approaches such as manual counting or tagging often fail to maintain accuracy, leading to misplaced or lost items, inconsistent service across locations, and frequent customer disputes. Additionally, the dynamic nature of garments changing shape during handling and the use of surveillance cameras introduce challenges in accurate detection and classification. 

Solution Highlights

A real-time Visual AI–based garment verification system that ensures end-to-end tracking and accuracy

Automated Garment Detection

Uses IP cameras and edge AI to identify and track garments before and after washing 

End-to-End Verification

Validates garment count and type at multiple stages to prevent mismatches

AI-Powered Accuracy

Combines YOLO-based detection with cloud validation for higher reliability

Real-Time Performance

Optimized pipeline achieving up to 50 FPS for seamless operations  

Visual Evidence Tracking

Captures proof for every transaction, improving transparency and dispute resolution

Scalable Deployment

On-device processing ensures privacy, speed, and cost-effective scaling 

Conclusion

The solution delivers a scalable AI system that improves accuracy, transparency, and operational efficiency in laundromat workflows. By combining edge AI, optimized performance, and visual evidence tracking, it reduces errors, eliminates disputes, and enhances customer trust while integrating smoothly into existing operations.