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Web Application

Real-time Body Tracking

Detects 33 body landmarks from browser camera footage and automatically counts squat reps. Also proposed an extension for security camera use.

Duration

Short-term development

Team

1 person

Engineered With JavaScriptMediaPipe Tasks VisionHTML/CSSGitHub Pages

01 // OVERVIEW

Project Overview

A web feature that detects body movement in real time from browser camera footage, automating motion analysis and rep counting. Built as a framework-free Vanilla JS implementation, with a demo hosted on GitHub Pages. After delivery to the client, the project grew into a proposal for extending the technology to security camera applications.

02 // KEY FEATURES

Key Features

accessibility_new

Pose Mode

Detects 33 body landmarks using MediaPipe Pose Landmarker. Includes a squat counter feature that automatically counts exercise reps.

face

Face Mode

Detects a 468-point face mesh in real time. Can be applied to facial expression analysis and head orientation estimation.

pan_tool

Hands Mode

Hand tracking with 21 points per hand. Detects finger movement and hand gestures with high accuracy.

all_inclusive

All (Holistic) Mode

Runs Pose, Face, and Hands modes simultaneously. Also supports switching between front and back cameras.

03 // TECHNICAL DEEP-DIVE

Technical Highlights

Solution

Squat Detection Algorithm

Calculates knee angle frame by frame and applies smoothing. Automatically detects one squat rep using threshold angles of 100 degrees on the way down and 160 degrees on the way up, with a hysteresis design to prevent false detections.

Solution

Lightweight, Framework-Free Design

Built with only Vanilla JavaScript and the MediaPipe CDN. Requires no build step - it runs simply by opening the HTML file. GPU delegation ensures real-time performance.

Solution

Technical Proposal for Security Camera Use

Following an inquiry about repurposing the system to detect suspicious behavior within a facility, we advised on combining it with YOLOv8-Pose and the need for time-series classification, proposing a validation-first approach.

04 // IMPACT & RESULTS

Results

33

Body landmarks

Delivered

Client project

Extended

Into a security camera project

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