Tencent Cloud Face Recognition Description
Face Recognition, based on the 3rd generation Tencent YouTu Grandmother Model was optimized using various training methods, such as multi-task learning, transfer learning and metric learning. Its custom fine-tuning and distilling models can meet different performance and latency requirements. Tencent's large user base and complex use cases tested Face Recognition. It was found to be reliable and robust, with a 99.9% availability rate. Face Recognition has high concurrency, high throughput, low latency, and high concurrency. It can process millions of faces in a matter of milliseconds. This allows you to meet your real-time usage requirements. Face Recognition can be used in many different applications, including online photo albums, smart shopping, security surveillance and face recognition access control and attendance. It also has face effects and online proctoring.
Tencent Cloud Face Recognition Alternatives
Lambda Face Recognition API
Register now to begin Lambda's facial detection & recognition API. You can use the online tool to input a URL, and we'll tell if it contains celebrities. To test our face detection API, you can also use the provided form. We will send you a photo and tell you if it contains facial features, where they are located, and the location of facial features such as eyes, nose, and mouth. Your Mashape Key will be used to call the API. To get your key, you will need to sign up to our API. An album is a collection of images that have been labeled. Albums can be used to recognize images that haven’t been seen before. Let's make our first album. You can give the album a few images with labels. The more images you provide, the more accurate the model will become. You can either give us urls or files. The album will build a model using the labeled photos. Give the album a picture to recognize. There are two options: urls or files.
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Oz Liveness
Oz Liveness is a world-leading facial recognition and authentication software that is used by private and public organizations around the world to reduce the risk of biometric fraud. It prevents deepfake attacks and spoofing attacks.
Oz Liveness uses advanced algorithms to detect many forms of biometric spoofing. This includes 3D and 2D masks, photos and videos displayed on iPads or laptops, and photos and videos.
Our technology has been approved by the industry's most stringent testing standard, ISO30107 certification. This certification helps organizations verify that they are dealing with a real person within seconds. It also lowers compliance risk and fraud risk.
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FaceFirst
FaceFirst helps customers create safer communities and great customer experiences. FaceFirst is a platform that retailers, transportation agencies, law enforcement agencies, and other great organizations can use to prevent crime from happening and increase customer engagement and loyalty. FaceFirst is private, scalable, secure, and highly accurate. The platform allows for surveillance, customer engagement and access control. It also allows for desktop forensic face recognition capabilities. FaceFirst provides a robust API as well as an SDK that can be integrated into a variety systems and platforms. Scale without performance loss and share data across multiple locations. High performance even in challenging lighting conditions. Compatible with almost any camera provider or device that is camera-enabled. With robust API/SDKs, you can easily add face recognition to your existing applications.
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Amazon Rekognition
Amazon Rekognition allows you to easily add image and video analysis into your applications using proven, highly-scalable, deep learning technology that does not require any machine learning expertise. Amazon Rekognition allows you to identify objects, people and text in images and videos. It also detects inappropriate content. Amazon Rekognition can also be used to perform facial analysis and facial searches. This is useful for many purposes, including user verification, people counting, public safety, and other uses.
Amazon Rekognition Custom Labels allow you to identify objects and scenes in images that meet your business requirements. You can create a model to help you classify machine parts or detect plants that are sick. Amazon Rekognition Custom Labels does all the heavy lifting for you.
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Integrations
Company Details
Company:
Tencent
Year Founded:
2013
Headquarters:
China
Website:
intl.cloud.tencent.com/product/facerecognition
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Product Details
Platforms
SaaS
Type of Training
Documentation
Customer Support
Phone Support
Online
Tencent Cloud Face Recognition Features and Options
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