AI-Powered Foot Size Measurement and Shoe Recommendation System

JIT Global Infosystems > Case-Study > AI-Powered Foot Size Measurement and Shoe Recommendation System

AI-Powered Foot Size Measurement and Shoe Recommendation System

Customer Overview: 

A footwear manufacturer, has partnered with a non-profit organization to provide free shoes to underprivileged farming communities in remote areas. Accurate sizing is critical to ensure comfort, avoid resource wastage, and enhance the daily productivity of beneficiaries.

Customer Challenges:

Manual Measurement Inefficiency

Traditional tools and methods were slow, inconsistent, and impractical in rural environments.

Inaccurate Sizing

Human error often led to ill-fitting shoes, resulting in discomfort and distribution inefficiencies.

Accessibility Barriers

Remote communities had little to no access to reliable measuring tools.

Scalability Issues

The organization needed a system that could process thousands of size requests without additional manpower or cost.

Technical Background Requirement: 

To ensure the system is accurate, scalable, and cost-effective for field deployment, the following technical requirements were defined:

Accuracy & Precision

  • AI model must measure foot length within <1 cm error margin.
  • Calibration using a reference object (debit/credit card) ensures consistent results across diverse environments.

Scalability

  • Cloud-native architecture capable of processing thousands of concurrent requests.
  • Serverless functions (AWS Lambda) to handle dynamic workloads without manual intervention.

Cost-Effectiveness

  • Pay-per-use cloud model to reduce operational expenses for the NGO.
  • Minimal infrastructure footprint to align with the non-profit’s budget constraints.

Field Usability

  • Mobile-first design for easy image capture in rural areas.
  • Offline capture with auto-sync when connectivity is available.

Data Security & Privacy

  • Images and results stored securely in Amazon S3 with encryption.
  • Access controlled via API Gateway and IAM roles to protect beneficiary data.

Integration & Reporting

  • RESTful APIs for seamless integration with web and mobile apps.
  • Web dashboard for administrators to monitor usage, track sizing accuracy, and generate distribution reports.

Solution Overview: 

JIT Global Infosystems developed an AI-powered Foot Size Measurement and Shoe Recommendation System to address these challenges. The solution uses computer vision and regression modeling to measure foot size from mobile-captured images, ensuring fast and reliable shoe size determination.

Key capabilities include:

  • Image-Based Measurement: Field agents capture a photo of the beneficiary’s foot alongside a standard reference object (debit/credit card).

  • AI Precision: A fine-tuned YOLOv8 model detects the foot and reference object, while a regression model calibrates and improves measurement accuracy.

  • Cloud Scalability: The processing pipeline is deployed on AWS (S3, Lambda, API Gateway), ensuring secure, cost-effective, and scalable operations.

  • Monitoring & Reporting: A lightweight web dashboard allows administrators to track requests, generate reports, and optimize distribution planning.

Key Solution Components: 

Computer Vision Model (YOLOv8 + Regression Calibration)

  •    Detects foot and reference object in images using a fine-tuned YOLOv8n model. 
  •    Applies a regression-based calibration layer to correct systematic errors and improve accuracy.

AWS Cloud Integration

  •    Amazon S3: Stores uploaded images and processed results. 
  •    AWS Lambda: Runs the containerized inference pipeline for on-demand processing. 
  •    API Gateway: Provides a RESTful API for seamless integration with web and mobile applications.

Admin Dashboard

  •    Tracks measurement requests, success rates, and distribution trends. 
  •    Generates reports for optimizing inventory and donor communications. 

Implementation Highlights: 

  • Deployed on serverless AWS architecture to minimize costs and handle peak workloads.

  • Regression model trained on real-world ground-truth data, achieving accuracy within <1 cm.

  • Low-latency design ensures instant results in field conditions, even with limited connectivity.

Business Outcomes: 

  • Accuracy Improved: Reduced measurement errors from over 10 cm to less than 1 cm.

  • Efficiency Gained: Eliminated manual sizing, saving hours in every distribution cycle.

  • Scalability Achieved: Supported thousands of concurrent requests with zero infrastructure overhead.

  • Cost Reduction: Pay-per-use AWS model optimized for the NGO’s limited budget.

Differentiators: Why Choose JIT Global Infosystems? 

  • Domain-Specific AI Expertise: Practical experience in solving real-world measurement and calibration challenges.

  • End-to-End Automation: From image capture to shoe size recommendation with no manual intervention.

  • User-Centric Design: Simple mobile app for field agents, accessible even in remote villages.

  • Cost-Effective Innovation: High-impact AI solution tailored for non-profit use cases.

Conclusion: 

By integrating AI-powered foot measurement with cloud automation, JIT Global Infosystems delivered a solution that enabled accurate, efficient, and scalable shoe distribution. This initiative not only reduced costs and errors but also ensured every farmer received footwear that fits—supporting the NGO’s mission of empowering agricultural communities with dignity and care.