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JavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.
| Date | Stars |
|---|---|
| 2026-07-31 | 370 |
| 2026-08-06 | 370 |
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# JavaScript/WebGL lightweight object detection and tracking library for WebAR **WARNING: this repository is deprecated and not maintained anymore. Please use [WebAR.rocks.object](https://github.com/WebAR-rocks/WebAR.rocks.object) instead.** <p align="center"> <a href='https://youtu.be/a09NSXp_ENU'><img src='https://img.youtube.com/vi/a09NSXp_ENU/0.jpg'></a> <br/> <i><a href='https://jeeliz.com/demos/augmentedReality/demos/threejs/ARCoffee/' target='_blank'>Standalone AR Coffee</a> - Enjoy a free coffee offered by <a href='https://jeeliz.com'>Jeeliz</a>!<br/> The coffee cup is detected and a 3D animation is played in augmented reality.<br/> This demo only relies on JeelizAR and THREE.JS.</i> </p> ## Table of contents * [Features](#features) * [Architecture](#architecture) * [Demonstrations](#demonstrations) * [Standalone demos](#standard-browser-demos) * [WebXR viewer demos](#webxr-viewer-demos) * [8thWall demos](#8thWall-demos) * [Specifications](#specifications) * [Get started](#get-started) * [Initialization arguments](#initialization-arguments) * [The Detection function](#the-detection-function) * [Other methods](#other-methods) * [Video cropping](#video-cropping) * [Scan settings](#scan-settings) * [WebXR integration](#webxr-integration) * [Error codes](#error-codes) * [Hosting](#hosting) * [Using the ES6 module](#using-the-es6-module) * [Neural network models](#neural-network-models) * [About the tech](#about-the-tech) * [Under the hood](#under-the-hood) * [Compatibility](#compatibility) * [License](#license) * [See also](#see-also) * [References](#references) ## Features Here are the main features of the library: * object detection * webcam video feed capture using a helper * on the fly neural network change * demonstrations with [WebXR](https://blog.mozilla.org/blog/2017/10/20/bringing-mixed-reality-web/) integration ## Architecture * `/demos/`: source code of the demonstrations, * `/dist/`: heart of the library: * `jeelizAR.js`: main minified script, * `/helpers/`: scripts which can help you to use this library in some specific use cases (like WebXR), * `/libs/`: 3rd party libraries and 3D engines used in the demos, * `/neuralNets/`: neural network models. ## Demonstrations These are some demonstrations of this library. Some requires a specific setup. You can subscribe to the [Jeeliz Youtube channel](https://www.youtube.com/channel/UC3XmXH1T3d1XFyOhrRiiUeA) or to the [@StartupJeeliz Twitter account](https://twitter.com/StartupJeeliz) to be kept informed of our cutting edge developments. If you have made an application or a fun demonstration using this library, we would love to see it and insert a link here! Contact us on [Twitter @StartupJeeliz](https://twitter.com/StartupJeeliz) or [LinkedIn](https://www.linkedin.com/company/jeeliz). ### Standard browser demos These demonstrations work in a standard web browser. They only require webcam access. * Simple object recognition using the webcam (for debugging): [live demo](https://jeeliz.com/demos/augmentedReality/demos/debugDetection/) [source code](/demos/debugDetection/) * Cat recognition (displayed as header of [https://jeeliz.com](jeeliz.com) for desktop computers only): [live demo](https://jeeliz.com/demos/augmentedReality/demos/cat/) [source code](/demos/cat/) [Youtube video](https://www.youtube.com/watch?v=MqvweemM_-I) * THREE.js Sprite 33cl (12oz) can detection demo: [source code](/demos/threejs/sprite/) [live demo](https://jeeliz.com/demos/augmentedReality/demos/threejs/sprite/) * Standalone AR Coffee demo: [source code](/demos/threejs/ARCoffee) [live demo](https://jeeliz.com/demos/augmentedReality/demos/threejs/ARCoffee/) [Youtube video](https://youtu.be/a09NSXp_ENU) * Amazon Sumerian Sprite 33cl (12oz) detection demo: [source code](/demos/amazonSumerian) [live demo](https://f9db302269f94d7fafed339cf6c11152.us-east-2.sumerian.aws/) [Youtube video on mobile](https://youtu.be/twXGObgloNY) ### WebXR view
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matched fp:0b937640a679875c, topic:object-detection, topic:object-tracking, desc:object detection