Libraries tagged by face recognition

A PHP adapter for the python deepface framework.

Go to Download

Google Vision Api for PHP (https://cloud.google.com/vision/)

Go to Download

ZKTeco Package For Laravel. This package provides seamless integration with ZKTeco devices within Laravel applications, enabling communication with attendance devices such as fingerprint, face recognition, or RFID using UDP protocol.

Go to Download

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, speech synthesis, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the PHP client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com. Github: https://github.com/nlpcloud/nlpcloud-php

Go to Download

Face recognition and hotspot selection for cropping images in WordPress.

Go to Download

Laravel package for Hikvision ISAPI Face Recognition Terminals integration

Go to Download

Official Laravel SDK for the Tareef face-recognition API — register, verify, and manage people in one line of code.

Go to Download

Laravel package for AWS Rekognition API (PHP 8)

Go to Download

Symfony3 bundle for validating face on picture using MS Azure Face API

Go to Download

PHP client for Face module in Microsoft Cognitive Services

Go to Download

ZK library to connect with attendance devices in PHP

Go to Download

PHP extension for the Dlib C++ library (face detection, landmarks, recognition, and clustering).

Go to Download

PHP Api client for communication with Ximilar Face Recognition

Go to Download

PHP SDK for face recognition using faceplusplus.com

Go to Download

A wrapper for face_recognition package

Go to Download