CollectionId (string) --The ID of a collection that contains faces that you want to search for. biometrics facial recognition technology pdf ations of automatic face recognition algorithms. In this sample, you'll use the Google Cloud Vision API to detect faces in an image. This article shows how to easily build a face recognition app. Face Recognition API features Detect faces and 22 + 101 facial landmarks, Compare faces, create and search faces inside your own persons databases (namespaces). import face_recognition image = face_recognition. >>> Python Software Foundation. As an example, a criminal in China was caught because a Face Recognition system in a mall detected his face and raised an alarm. The most famous and commonly used API for face recognisation and other image processing and computer vision stuff are done in OpenCV library You can easily download. Face recognition with OpenCV, Python, and deep learning. com cv2: This is the OpenCV module for Python used for face detection and face recognition. We’ll start with a brief discussion of how deep learning-based facial recognition works, including the concept of “deep metric learning”. Visitors can search your website, or even fill forms, using just their voice. Face Detection using Python and OpenCV with webcam OpenCV is a Library which is used to carry out image processing using programming languages like python. Sometimes you run into the situation, when you want to apply a threshold on the prediction. learn to create haar cascade OpenCV, Detecting Face in image, Importing OpenCV & more. in this tutorial we are going to look at how you can write your own basic face recognition software in Python using the https:. in - Buy Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras book online at best prices in India on Amazon. js和dlib人脸识别示例中使用的网络。. We use cookies for various purposes including analytics. Visitors can search your website, or even fill forms, using just their voice. We'll start with a brief discussion of how deep learning-based facial recognition works, including the concept of "deep metric learning". It is the fastest and the simplest way to do image recognition on your laptop or computer without any GPU because it is just an API and your CPU is good enough for this. If you'r looking for a bit more detail kick start, check Image Recognition with 10 lines of code. Detect, identify and verify faces with this powerful API. How to apply face recognition API technology to data journalism with R and python. I have created a face recognition model using Anaconda python and want to create a API service using Flask or any API service. Python & Machine Learning Projects for ₹37500 - ₹75000. See face_recognition for more information. Here, in TensorFlow Image Recognition Using Python API you will be needing 200M of hard disk space. Face detection/recognition service from Codeeverest Private Limited, India. 1Requirements •Python 3. Note: Cloud Vision now supports offline asynchronous batch image annotation for all features. Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library. The most famous and commonly used API for face recognisation and other image processing and computer vision stuff are done in OpenCV library You can easily download. Google is trying to offer the best of simplicity and. Face recognition with Python in an hour (or two) has become easy with the Tensorflow Object Detection API. Face Recognition API features Detect faces and 22 + 101 facial landmarks, Compare faces, create and search faces inside your own persons databases (namespaces). This project utilizes OpenCV Library to make a Real-Time Face Detection using your webcam as a primary camera. Among those services, we will see here Microsoft Face API, "a cloud-based service that provides the most advanced face algorithms. This package contains only the models used by face_recognition. Automatic face recognition is all about extracting those meaningful features from an image, putting them into a useful representation and performing some kind of classification on them. Optionally, face detection can extract a series of face-related attributes. May 7, 2019. The Raspberry Pi. OpenCV uses machine learning algorithms to search for faces within a picture. Specifically, you learned: About the VGGFace and VGGFace2 models for face recognition and how to install the keras_vggface library to make use of these models in Python with Keras. Send us a picture and we'll tell you if it contains faces, where those faces are, and the location of facial features (eyes, nose, mouth). Face Detection detects multiple faces within an image along with the associated key facial attributes such as emotional state or wearing headwear. com replacement. Kairos Face Recognition API Documentation. I have created a face recognition model using Anaconda python and want to create a API service using Flask or any API service. Here Horned Sungem internals and Python API both use multiply plus operations to preprocess images. Microsoft Face algorithms enable face attribute detection and face recognition. The API provides functionality to implement face detection ("detect one or more human faces in an image and get back face rectangles for … Continue reading "DAT602 - Face Recognition with Azure Face API and Python". In my last post we learnt how to setup opencv and python and wrote this code to detect faces in the frame. Please su. With a few lines of Python code, you can compare faces, detect faces and find facial features. As you can see i have provide all the code to ensure that my face recognition program works. This article shows how to easily build a face recognition app. Package Actions. Compare and match faces against specific people to verify identity Multiple face and person support High performance and low response times, great for interactive applications Auto-crop images to the face; choose from a circular or square crop. Before you ask any questions in the comments section: Do not skip the article and just try to run the code. 2 请先 登录 或 注册一个账号 来发表您的意见。. For Python training, our top recommendation is DataCamp. The world's simplest facial recognition API for Python and the command line: Face_recognition: Here, in the same context, we discuss a model that with the world's simplest face recognition library helps to recognize as well as manipulate faces from Python or from the command line. The prerequisites for this project really is: 1) Works on the web (django) 2) Python (obviously) 3) Accurate and Fast. learn to create haar cascade OpenCV, Detecting Face in image, Importing OpenCV & more. It can also be used to find similar faces, to verify if two images contain the same person and you can also train the service to improve the identification of people. from win32com. Let's take a quick look at how it works. It is the fastest and the simplest way to do image recognition on your laptop or computer without any GPU because it is just an API and your CPU is good enough for this. This document is the guide I've wished for, when I was working myself into face recognition. Face detection service from the API has the power to detect one or more human faces in an image and get a face rectangle for the face with 27 landmarks for a single face. Face which is a part of Azure SDK. Facial Recognition API. The entire project has to be done in Python using keras/tensorflow. face recognition technology pdf The goal of the tests. A common scenario in face recognition is to tell, whether a face belongs to the training dataset or if it is unknown. I do not think so. Before you ask any questions in the comments section: Do not skip the article and just try to run the code. pip3 install opencv-python Step 2. Clarifai uses AI powered computer vision to help you understand and unlock the insights in your data to transform your business and realize new potential. Learn about the Face API. Google is releasing a new TensorFlow object detection API to make it easier for developers and researchers to identify objects within images. Classify cancer using simulated data (Logistic Regression) CNTK 101:Logistic Regression with NumPy. The prerequisites for this project really is: 1) Works on the web (django) 2) Python (obviously) 3) Accurate and Fast. In Sydney, face recognition is undergoing trials at airports to help move people through security much faster and in a safer way. Self-Hosted and Offline AI APIs. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and. Angular Project Oxford Face API Wrapper. 2 使用条件对抗网格的实现图像到图像的转换. The examples are based on Windows and Raspberry PI. This SDK has been deprecated and been replaced by Microsoft. It functions similarly to the face recognition API except that it does not perform recognition. Learn more. face_recognition_model_v1¶ This object maps human faces into 128D vectors where pictures of the same person are mapped near to each other and pictures of different people are mapped far apart. - [Instructor] Several large vendors provide…face recognition APIs that you can use…over the internet for a small fee. Creating a face detection API with Python and OpenCV (in just 5 minutes) After getting a ton of awesome reader feedback on the step-by-step tutorial on installing OpenCV on your Raspberry Pi 2/B+, I decided to take the same approach to this tutorial — I've created 8 simple, bite size steps to get your own face detection API up and running. TensorFlow Image Recognition Using Python API. 217 ∙ share This face detection API detects and recognizes faces in any image or video frame. Each API call adds a single picture (see Q2 above) so adding 5 faces requires 5 API calls of add a person face. For details about Face Recognition Application Programming Interfaces (APIs), see the Face Recognition API Reference. I am using python 3. I haven't done too much other than searching Google but it seems as if "imager" and "videoplayR" provide a lot of the functionality […]. face recognition has nothing to do with pycharm. Today we explore over 20 emotion recognition APIs and SDKs that can be used in projects to interpret a user's mood. With high quality image recognition, the CloudSight API recognizes, captions, and classifies the details of an image within seconds. Face Recognition. Get the locations and outlines of each person’s eyes, nose, mouth and chin. Cascading classifiers, Wikipedia. 2 学习OpenCV : C++和Python示例. Program This program will record audio from your microphone, send it to the speech API and return a Python string. It compares the information with a database of known faces to find a match. I have created a face recognition model using Anaconda python and want to create a API service using Flask or any API service. OpenCV is an incredibly powerful tool to have in your toolbox. Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition with Tensorflow and Keras Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. Attributes. Dismiss Join GitHub today GitHub is home to over 36 million developers working together to host a. Face detection has been a solved problem since the early 2000s but faces some challenges nowadays including finding tiny, partial & non frontal faces plus real-time detection on the CPU without obscure and non-portable code. The solution uses Python programming language to make a call to the Azure Face API. Before you ask any questions in the comments section: Do not skip the article and just try to run the code. - [Instructor] Several large vendors provide…face recognition APIs that you can use…over the internet for a small fee. com as you can see in the API documentation. Facial recognition will be a major topic for the 2020 Olympic Games in Tokyo (Japan). NLTK is a leading platform for building Python programs to work with human language data. Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library. 3+ or Python 2. Detection or Recognition of Faces including Eyes using Python | OpenCV library. Face Detection using Python and OpenCV with webcam OpenCV Python program for Vehicle detection in a Video frame Python Program to detect the edges of an image using OpenCV | Sobel edge detection method. NXOpen Python API Reference 10. In this discussion we will learn about Face Recognition using. pip3 install opencv-python Step 2. Face recognition with Python in an hour (or two) has become easy with the Tensorflow Object Detection API. xml, which will be loaded by the box software to configure the face recognition model. Sounds like magic, right? Well, did you know that you can also include similar speech recognition capabilities to your own website with a few lines of code. Face recognition input parameters that are being used by the stream processor. CNTK 301: Image Recognition with Deep Transfer Learning¶. Python & OpenGL Projects for ¥150000 - ¥300000. face_recognition_model_v1¶ This object maps human faces into 128D vectors where pictures of the same person are mapped near to each other and pictures of different people are mapped far apart. Face recognition using OpenCV and Python: A beginner's Superdatascience. SkyBiometry uses completely different computer vision algorithms for face detection and recognition than face. For details, see Regions and Endpoints. Given a text string, it will speak the written words in the English language. To install, use: pip install dlib pip install face_recognition Implementation. png is similar to an image that named john in the folder. The Chooch Facial Recognition Python Sample Code demonstrates how to identify the face of a well known person by including an image URL. 使用cnn面部检测器返回图像中二维人脸的边界框数组,如果您正在使用GPU,这可以更快的给您结果,因为GPU可以一次处理批次的图像。. Self-Hosted and Offline AI APIs. 开源项目face_recognition content. Home; python-face_recognition 1. Face recognition can be done in parallel if you have a computer with multiple CPU cores. If you are using Python 3. in - Buy Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras book online at best prices in India on Amazon. This hands-on tutorial shows how to use Transfer Learning to take an existing trained model and adapt it to your own specialized domain. I haven't done too much other than searching Google but it seems as if "imager" and "videoplayR" provide a lot of the functionality […]. The Face API doc shows how to do it with a standard HTTP call, you can then use Requests or your favorite python http library to make the call. 1 SEMINAR PRESENTATION ON "Face Recognition Technology" 2. Face Recognition 世界上最简单的面部识别Python API和命令行 详细内容 问题 382 同类相比 169 发布的版本 v1. OK, I Understand. Kairos is a simple concept - you submit images and/or videos into our API, and our computer vision algorithms analyze the faces found, then the API returns a bunch of useful data about the faces we find. FaceSearch (dict) --Face search settings to use on a streaming video. For details, see Regions and Endpoints. In this post we will build a face recognition system for verifying individuals in images. For details about Face Recognition Application Programming Interfaces (APIs), see the Face Recognition API Reference. A first model will dig up whether there is a face or not and determine its location on. The API uses dlib's. For this, we will be using the Azure Cognitive Services Face API and a few simple lines of Python code. 4 or newer, pass in a --cpus parameter:. A real time face recognition system is capable of identifying or verifying a person from a video frame. Specific individual Facial Recognition is not supported. I Want Developers Who Have Developed Face Recognition Technology Which Can Be Spoof Tolerant With Photo And Video Attacks To Be Integrated Android Based App Skills: Android, Face Recognition, Facebook API, Mobile App Development, Python. Face Detection Using OpenCV In Python | How To Setup OpenCV Python Opencv is the most popular computer vision library, and today we are going to learn how to setup opencv, how to access your webcam and how easily we can write a face detection program with just a few lines of code. Moreover, this library. Face Recognition 世界上最简单的面部识别Python API和命令行 详细内容 问题 同类相比 167 发布的版本 v1. Microsoft Cognitive Services released its Face, Computer Vision, and Content Moderator APIs to its users in late April. Face recognition automatically determines if two faces are likely to correspond to the same person. Microphone(). Facial recognition has already been a hot topic of 2018. This article aims to provide a real-world example of analyzing Images with Microsoft Azure's Face and Vision API by writing python scripts in Jupyter notebook. Anaconda already has the majority of libraries installed. This technology will be used to identify authorized persons and grant them access automatically enhancing their experience and safety. See face_recognition OCR Text recognition with Python and API (ocr. This guide will demonstrate how to perform near-real-time analysis on frames taken from a live video stream. So I have decided to turn this document into a guide on Face Recognition with Pythononly. In order to access any API, it is required that you provide an access token/key as a parameter on every request to. Face recognition with OpenCV, Python, and deep learning. I Want Developers Who Have Developed Face Recognition Technology Which Can Be Spoof Tolerant With Photo And Video Attacks To Be Integrated Android Based App Skills: Android, Face Recognition, Facebook API, Mobile App Development, Python. 3 Seethis examplefor the code. We'll treat each of those function later in the article, while looking closer at them as. Animetrics Face Recognition - The Animetrics Face Recognition API can be used to detect human faces in pictures. The first thing we have to do is to open the video file and extract the frames to process, and we are going to use Python and OpenCV. Real time face recognition. Specifically, you learned: Face detection is a computer vision problem for identifying and localizing faces in images. Face detection has been a solved problem since the early 2000s but faces some challenges nowadays including finding tiny, partial & non frontal faces plus real-time detection on the CPU without obscure and non-portable code. Once a face is detected, it can be searched for landmarks such as the eyes and nose. js JavaScript. Text to speech Pyttsx text to speech. We currently have a free api for face detection. Face recognition can be done in parallel if you have a computer with multiple CPU cores. It functions similarly to the face recognition API except that it does not perform recognition. But it is very difficult or …. How to create a mobile app for face recognition. Please su. This repo contains the Python SDK for the Microsoft Face API, an offering within Microsoft Cognitive Services, formerly known as Project Oxford. Microsoft Face algorithms enable face attribute detection and face recognition. FaceSearch (dict) --Face search settings to use on a streaming video. Facial recognition data, as the one that we collected via the Microsoft emotion API, suggests that when Trump is challenged with arguments which he doesn’t like, his facial attitude changes. I Want Developers Who Have Developed Face Recognition Technology Which Can Be Spoof Tolerant With Photo And Video Attacks To Be Integrated Android Based App Skills: Android, Face Recognition, Facebook API, Mobile App Development, Python. Inside this tutorial, you will learn how to perform facial recognition using OpenCV, Python, and deep learning. Facial recognition has already been a hot topic of 2018. It is the fastest and the simplest way to do image recognition on your laptop or computer without any GPU because it is just an API and your CPU is good enough for this. In this post we will build a face recognition system for verifying individuals in images. In the second debate, Clinton provoked him with mentioning his involvement in degrading a former Miss Universe. Setting up your environment. These details include a bounding box of the face, a confidence value (that the bounding box contains a face), and a fixed set of attributes such as facial landmarks (for example, coordinates of eye and mouth), presence of beard, sunglasses, and so on. But for now, just take the following steps: pip install face_recognition. I am looking for specialist in face recognition , object recognition for the surveillance and security industry. 3+ or Python 2. that showing to me mypic. An Emotion Recognition API for Analyzing Facial Expressions Reading emotional expression is one of the most difficult tasks for humans, let alone computers. This package contains only the models used by face_recognition. OK, I Understand. The face_recognition library is widely known around the web for being the world's simplest facial recognition api for Python and the command line, and the best of all is that you won't need to pay a dime for it, the project is totally open source, so if you have some development knowledge and you are able to build a library from scratch, you'll surely know how to work with this library. py to download the trained model from tensorflow. Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras. To train, we use triplets of roughly aligned matching / non-matching face patches generated using a novel online triplet mining method. Attributes. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. …That means that their accuracy…may be better or worse,…depending on your specific application. png is similar to an image that named john in the folder. In this article, we provided two tutorials that illustrate how image recognition works in the TensorFlow Object Detection API. Self-Hosted and Offline AI APIs. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and. TensorFlow Image Recognition Using Python API. 0,点击docs可以查看API文档,我们可以查看一些函数相关的. The thing is I was using OpenCV3 in python for face recognition and the same camera( there is only one on laptop) for QR Code scanning. CognitiveServices. jpg") face_landmarks_list = face_recognition. See face_recognition for more information. Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4)and Python. The software has to work like so: People will walk through a hallway and their f. FACE DETECTION IN OPENCV OpenCV (Open Source Computer Vision) is a library of programming functions for real -time. Face_recognition Project. In this article, we provided two tutorials that illustrate how image recognition works in the TensorFlow Object Detection API. 7 •macOS or Linux (Windows not officially supported, but might work). Face (Detection) – A computer vision api for facial recognition and facial detection that is a perfect face. Face Detection in R. FaceR API Build Your Application with the Industry's Most Advanced 2D/3D Face Recognition Tools. The model has an accuracy of 99. 1 via COM in Python. In this article, we'll look at a surprisingly simple way to get started with face recognition using Python and the open source library OpenCV. Hello friends, In this video I'll show to how to Detect Faces including Eyes. After each command notice the output of Fserver and Fclient. Related Course: Zero to Deep Learning with Python and Keras. In this sample, you'll use the Google Cloud Vision API to detect faces in an image. The model is using Dlib's state of the art face identification developed with deep learning. The Visual Recognition v3 API is hosted only in the Dallas location and has a single service endpoint. Face Recognition Service with Python Dlib Flask. Detect, identify and verify faces with this powerful API. Desired features: face recognition, counting objects / people, gender, etc. Betaface API is a face detection and face recognition web service. It has two required arugments: The path to a XML file containing a Haar-cascade of visual features. Each API call adds a single picture (see Q2 above) so adding 5 faces requires 5 API calls of add a person face. In this discussion we will learn about Face Recognition using. Rank One leverages powerful Artificial Intelligence (A. Analyze images and extract the data you need with the Computer Vision API from Microsoft Azure. face recognition technology pdf The goal of the tests. Face recognition with Python in an hour (or two) has become easy with the Tensorflow Object Detection API. write(" ") is not working from the Se. For details about Face Recognition Application Programming Interfaces (APIs), see the Face Recognition API Reference. Face_recognition Project. Microsoft Cognitive Services released its Face, Computer Vision, and Content Moderator APIs to its users in late April. A real time face recognition system is capable of identifying or verifying a person from a video frame. Support The Site. DeepStack is an AI server you can easily install, use completely offline or on the cloud for Face Recognition, Object Detection, Scene Recognition and Custom Recognition APIs to build business and industrial applications!. For this, we will be using the Azure Cognitive Services Face API and a few simple lines of Python code. Facial recognition data, as the one that we collected via the Microsoft emotion API, suggests that when Trump is challenged with arguments which he doesn’t like, his facial attitude changes. Detect API also allows you to get back face landmarks and attributes for the top 5 largest detected faces. If you play around with some of the simpler sections of his facial recognition API, this will be helpful. There are many open-source face recognition packages like face_recognition which you can easily install on Linux servers. 2 使用条件对抗网格的实现图像到图像的转换. This tutorial is a follow-up to Face Recognition in Python, so make sure you’ve gone through that first post. 0 Universal. In this discussion we will learn about Face Recognition using. OK, I Understand. Image recognition goes much further, however. FREEWARE for face finding and facial recognition. Access the Products with Open APIs page on HUAWEI CLOUD to obtain API references of other cloud services. The Visual Recognition v3 API is hosted only in the Dallas location and has a single service endpoint. This article shows how to easily build a face recognition app. In Sydney, face recognition is undergoing trials at airports to help move people through security much faster and in a safer way. To prove to yourself that the faces were detected correctly, you'll then use that data to draw a box around each face. ageitgey/face_recognition: The world's simplest facial recognition api for Python and the command line. Analyze images and extract the data you need with the Computer Vision API from Microsoft Azure. Face recognition technology - BEST PPT 1. You might wonder, why there’s no public API in FaceRecognizer to. My goal was to be able to coarsely symmetrize a face in a real-time by dividing it in half and reflecting it. com cv2: This is the OpenCV module for Python used for face detection and face recognition. ) technologies to create a lightweight software development kit (SDK) that gives integrators access to the world's most versatile face recognition technology. This article aims to provide a real-world example of analyzing Images with Microsoft Azure's Face and Vision API by writing python scripts in Jupyter notebook. Introducing the Facial Recognition APIs Microsoft Cognitive Services lets you build apps with powerful algorithms in just a few lines of code, providing 22 APIs that use artificial intelligence and machine learning to do everything from OCR, to speech and facial recognition. Everyday actions are increasingly being handled electronically, instead of with pencil and paper or face to face. So here we go! Face recognition with four lines of code: Code Example. Face API has two main functions: face detection with attributes and face recognition" (Cognitive Services Face API Overview). You might wonder, why there's no public API in FaceRecognizer to. Python dlib recognition and manipulate faces from Python the world's simplest face recognition library. Patented and Proven Next Generation Face Biometric Technology that is Battle Tested, Field Tested, and Business Tested. Alipay from Alibaba: Facial recognition is used for its online payment solution. Hello friends, In this video I'll show to how to Detect Faces including Eyes. OpenCV uses machine learning algorithms to search for faces within a picture. I put this together because while there are some great Python-accessible tools for face recognition (like OpenFace), those tools tend to be a mis-mash of other tools/languages or have lots of complicated pre-reqs that made them hard to set up and use in a deployed application. Action Recognition Python* Demo - Demo application for Action Recognition algorithm, which classifies actions that are being performed on input video. Given a text string, it will speak the written words in the English language. Amazon Rekognition is always learning from new data, and we are continually adding new labels and facial recognition features to the service. 调用face++API Content. One of the largest that people are most familiar with would be facial recognition, which is the art of matching faces in pictures to identities. OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Package Actions. The Chooch Facial Recognition Python Sample Code demonstrates how to identify the face of a well known person by including an image URL. According to the description on their page and as per the testimony of various patrons of their. This asynchronous request supports up to 2000. Specifically, you learned: Face detection is a computer vision problem for identifying and localizing faces in images. I've submitted it to the Python Cookbook. Once the algorithm surmises that it has detected a facial region, it can then apply additional tests to validate whether it has, in fact, detected a face. We use cookies for various purposes including analytics. that showing to me mypic. 3: Set the face_recognition API We will use face_recognition API, which is considered the easiest API to recognize faces in Python around the world. The Twilio and Amazon S3 APIs. A computer vision api for facial recognition and facial detection that is a perfect face. Varsha Shah in partial fulfillment for the award of the degree of Bachelor of Engineering (B. When you start working on real-life image recognition projects, you'll run into some practical challenges:. , profiles), facial landmarks, etc. The Face API doc shows how to do it with a standard HTTP call, you can then use Requests or your favorite python http library to make the call. With high quality image recognition, the CloudSight API recognizes, captions, and classifies the details of an image within seconds. Natural Language Toolkit¶. A facial recognition system is an application capable of identifying people from images or videos. It can allow computers to translate written text on paper. Remember I'm "hijacking" a face recognition algorithm for emotion recognition here. Detect API also allows you to get back face landmarks and attributes for the top 5 largest detected faces. API also provides verification (faces comparison) and identification (faces search) services, as well able to maintain multiple user-defined recognition databases (namespaces). Try it for free today.