Search Results for "facial"

DeepCamera empowers your traditional surveillance cameras and CCTV/NVR with machine learning technologies. It provides open-source facial recognition-based intrusion detection, fall detection, and parking lot monitoring with the inference engine on your local device. SharpAI-hub is the cloud hosting for AI applications that helps you deploy AI applications with your CCTV camera on your edge device in minutes. SharpAI yolov7_reid is an open-source Python application that leverages AI technologies to detect intruders with traditional surveillance cameras. ...

Immerse yourself in the groundbreaking realm of the FaceOnLive Open KYC Project, a trailblazing endeavor at the forefront of redefining identity verification paradigms. With a commitment to leveraging the latest advancements in biometric technology, our platform presents a comprehensive solution encompassing cutting-edge features such as face recognition, face liveness detection, and ID document recognition. By seamlessly integrating these powerful tools, we empower businesses across...

A neighborly approach to creating and exploring artificial intelligence in the browser. ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.

Face-Detection-JavaScript is a small browser-based computer vision demo that uses JavaScript and face-api.js to analyze live webcam video. It loads face detection, facial landmark, face recognition, and facial expression models from a local models folder. Once the webcam stream starts, the app creates a canvas overlay and draws detection results directly over the video feed. It can identify face boxes, map facial landmark points, and display detected expressions in near real time. The project is simple enough for beginners to study, but it still demonstrates the core pieces needed for webcam access, model loading, detection loops, result resizing, and canvas rendering. ...

...It provides JavaScript and TypeScript APIs for loading images, locating faces, extracting face crops, and training labeled recognizers. Developers can compare unknown faces with stored examples and receive ranked predictions with distance values. The package also includes five-point and 68-point facial landmark predictors for alignment and analysis. Synchronous and Promise-based asynchronous methods support different application designs, while OpenCV integration enables additional image processing. OpenBLAS can improve CPU performance when the native dependency is compiled with it. The project is now considered obsolete by its author, who recommends face-api.js for equivalent browser and Node.js functionality.

...Ivan Andrade (CROMG 26016), que possui Doutorado em Implantodontia, é Mestre e Especialista em Ortodontia, Mestre e Especialista em Periodontia, Especialista em Radiologia Odontológica e Imaginologia, Especialista em Estomatologia, Pós-Graduado em Cirurgias Orais Avançadas, Pós-Graduado em Ortodontia e Ortopedia Facial, Pós-Graduado em Reabilitação Oral Utilizando Implante, Capacitado em Óxido Nitroso para Utilização na Sedação Consciente e é Especialista em Gestão Empresarial e Marketing na FGV. http://lattes.cnpq.br/1589307288919741 O GCO 6.0 será a última versão offline. Estamos desenvolvendo uma nova versão online que também será gratuita. ...

clmtrackr is a javascript library for fitting facial models to faces in videos or images. It currently is an implementation of constrained local models fitted by regularized landmark mean-shift, as described in Jason M. Saragih's paper. clmtrackr tracks a face and outputs the coordinate positions of the face model as an array. The library provides some generic face models that were trained on the MUCT database and some additional self-annotated images.

EBBA is a project aiming to develop an advanced chatbot by combining AIML, 3d facial expressions, speech synthesizer, speech recognition and an iq-test solving functionality.

This WordPress plugin adds an additional layer of security by requiring users to authenticate using their email, password, and facial recognition before accessing the login page. Ideal for high-security websites and those wanting to enhance user authentication beyond traditional login methods. With this plugin, you ensure that only authorized users can enter your WordPress site, minimizing the risk of unauthorized access. Protect your site and data with this triple-layer authentication system.