AI Object Detector with Next js 14, Tailwind CSS, Tenserflow, React
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Updated
Mar 17, 2024 - JavaScript
AI Object Detector with Next js 14, Tailwind CSS, Tenserflow, React
React UI for Image object detection using tensorflow.js
Dual camera proctoring system - A automated proctoring system that uses the mobile camera and webcam to proctor students and prevents any sort of malpractice.
A real-time object detection system built with Next.js 14, TensorFlow.js, and the COCO-SSD model. This application uses your device's webcam to detect objects and potential security threats in real-time.
Detecting objects with TensorFlow.js.
An app using TensorFlow.js as Web Components.
A react app using the coco-ssd model from tensorflowjs to detect objects both in live form or uploaded as an image.
Presenting you an awesome web based application that could detect almost any object, have used latest Next.js 14 JS Framework and Tailwind CSS, will be leveraging Tensorflow.js for detection
Object Detection App (CDN Version) is a lightweight web application that uses TensorFlow.js to detect objects in images and webcam streams, all running directly in the browser. This CDN-based implementation eliminates the need for Node.js, npm, and build processes by loading all dependencies from content delivery networks, making it easier to run.
Real Time Object Detection with Tensorflow.js with React.js Frontend
Sistema di Rilevamento Oggetti in Tempo Reale con Webcam
Use TensorFlow’s Object Detection model (COCO-SSD) to detect intruders from images and webcam feeds
Object Detection App is a web-based application that uses TensorFlow.js and pre-trained models to detect objects in images and video streams. The app provides real-time object recognition through webcam input or uploaded images, with support for multiple detection models including COCO-SSD and BlazeFace
An mobile app for assisiting blind people
Modified version of "Don't Touch Your Face" original by F8 Official
Project Iris is a mobile-first, web-based application built with React and TensorFlow.js, providing real-time on-device object detection and depth estimation. It includes user monitoring, an admin dashboard, and customizable settings.
Object-Detector-DLM-WEB is a web-based application that utilizes deep learning models for real-time object detection and tracking using your camera feed. The application is built using HTML, CSS, and JavaScript, and leverages TensorFlow.js with the COCO-SSD model to detect and label objects in the video stream.
Tensorflow.js Object Detection smart webcam
O código visa apresentar a utilização do Modelo de Machine Learning COCO-SSD.
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