Computer Vision

Webcam Body Measurement & Size Recommendation

A zero-hardware computer-vision module that measures the body through a standard webcam and recommends apparel sizes before checkout.

Outcome: Reduced sizing uncertainty through real-time, hardware-free body measurement and brand-specific fit guidance
Client: Online Apparel Retailer
Services: Computer Vision Development, Machine Learning Integration, Backend API Engineering, E-commerce Integration
Technology: MediaPipe Pose, OpenCV, Python, FastAPI, WebSockets, REST API
Platform: Web Browsers, E-commerce Storefronts, and Kiosks

Overview

From webcam framing to metric measurements and size guidance, the module turns body landmarks into a practical retail decision.

The Brief

Sizing uncertainty creates costly friction across apparel e-commerce: customers hesitate before checkout, and unsuitable selections add shipping, reverse-logistics, inspection, repackaging, and restocking costs. An online retail client needed a practical sizing layer that worked without depth sensors, specialist cameras, or application installation.

The resulting module guides the shopper into a calibrated low-distortion capture zone, extracts 3D pose landmarks from a standard webcam, estimates physical torso measurements, and returns a brand-specific recommended size with a confidence score. Its modular API architecture supports integration with Shopify storefronts, custom React or Node.js products, and in-store kiosks.

Benefits

Reduce preventable returns and reverse-logistics costs caused by guess-sizing
Increase buyer confidence directly on the product detail page
Operate through a standard webcam without depth-sensor hardware
Integrate as a modular service with Shopify, custom storefronts, and kiosks

Features

Real-time distance and framing control around a calibrated 1.5-metre capture zone
MediaPipe Pose 3D landmark extraction for shoulder and torso analysis
Anthropometric estimation of shoulder breadth and chest circumference
Brand-specific size mapping with confidence and borderline size guidance
FastAPI WebSocket live feed and REST capture endpoints

Webcam Body Measurement & Size Recommendation Reduced sizing uncertainty through real-time, hardware-free body measurement and brand-specific fit guidance

Year: 2026
Industry: Retail Technology & E-commerce
Outcome: Reduced sizing uncertainty through real-time, hardware-free body measurement and brand-specific fit guidance

Quick answer

Need a Computer Vision developer?

Fareed Tahir designs and develops production-focused immersive experiences in Unity, AR, VR, WebAR and interactive 3D. Remote collaboration is available worldwide from Lahore, Pakistan.

Contact Fareed