Facial recognition is a software application that creates numerical representations by analyzing images of human faces, in order to compare against other human faces and identify or verify a person’s identity. From checkout-free or thief prevention at retail stores to helping identify missing or exploited children or victims of human trafficking, facial recognition is transforming industries by serving different purposes. According to a report, the current facial recognition market is estimated at $3.2 billion and is expected to grow to $7 billion in revenue by 2024 at a CAGR of 16%.
The modern application of face detection technology has attained much attention for safety and security purposes, business intelligence, and marketing tools. Its significant useful features span the identification of people against a watchlist of subjects of interest and other complementary attributes such as age and gender estimation. People and organizations are seeking out for new and innovative ways to use technology to improve everyday lives. Most common applications today are in retail, cities, university campuses, sports arenas, casinos, airports, among others.
Therefore, to showcase the noteworthy face recognition software provided by renowned companies that are innovating the lives of people in a most astonishing manner, Analytics Insight has compiled the list of ‘Top 10 Best Facial Recognition Software’. Below are the enlisted ones.
Deep Vision AI is a computer vision software company that excels at facial recognition. It applies proprietary advanced computer vision technology to understand images and video automatically, turning visual content into real-time analytics and valuable insights.
With more than 500M existing cameras worldwide today, Deep Vision AI provides with the ability to analyze camera streams through different AI-based software modules on a single offers plug-and-play platform, enabling users with real-time alerts and faster responsiveness. Its facial recognition software continuously monitors target zones to provide the identification of individuals over time matching against a watchlist of people of interest with highly accurate rates. The software is camera agnostic, connects into any existing camera infrastructure, and can be deployed from the cloud to the edge. Deep Vision AI offers the best performance solution in the market supporting real-time processing at +15 streams per GPU.
Different facial analysis capabilities are applied to business intelligence use cases to help recognize important customers in real-time, quantifies the frequency of visitors, or to improve the overall safety and security. Other highly granular attributes like the count, age and gender of people, is used to understand the changing demographics over time, customer behavior, and measure marketing efforts. Customers typically combines facial recognition capabilities with advanced vehicle recognition and other AI-based features Deep Vision AI provides.
To comply with the EU General Data Protection Regulation (GDPR) and other international data protection laws, Deep Vision AI applies significant measures to assure a transparent and secure process of the data involved within the provision of its services to customers, partners, and its affiliates, having data privacy and AI ethics at the core of its value proposition.
Principal markets include cities and public venues, large retail stores, energy & infrastructure, public transportation, school campuses, gaming venues and event arenas. Deep Vision AI is a certified partner for NVIDIA’s Metropolis, Dell Digital Cities, Amazon AWS, Microsoft, Red Hat, and others.
As a leading technology platform developer, SenseTime is dedicated to creating industry solutions via innovations in AI and big data analysis. SenseTime’s multifunctional technology is rapidly expanding and already encompasses facial recognition, image recognition, intelligent video analytics, autonomous driving, and medical image recognition. SenseTime has serviced over 400 well- known companies and government agencies including Honda, Qualcomm, China Mobile, UnionPay, Huawei, Xiaomi, OPPO, Vivo, and Weibo.
Among its platform software:
• SensePortrait-S is a Static Face Recognition Server, that provides functions of face detection from an image source, as well as feature extraction, attribute analysis, attribute comparison, and target retrieval from a vast facial image database
• SensePortrait D is Dynamic Face Recognition Server that provides functions of face detection in multiple surveillance video streams, as well as face tracking, feature extraction, and comparison
• SenseFace is a Face Recognition Surveillance Platform. Based on Face Recognition technology powered by a deep learning algorithm, SenseFace provides integrated solutions of intelligent video analysis, which functions in target surveillance, trajectory analysis, population management, and relevant data analysis, etc
Rekognition is a cloud-based Software as a service computer vision platform by Amazon, which makes it easy to add image and video analysis to applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With this platform, one can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. It also provides highly accurate facial analysis and facial search capabilities that can be used to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, organizations can identify the objects and scenes in images that are specific to their business needs. For example, they can build a model to classify specific machine parts on their assembly line or to detect unhealthy plants. Amazon’s Custom Labels takes care of the heavy lifting of model development for organizations, so no machine learning experience is required. People simply need to supply images of objects or scenes they want to identify, and the service handles the rest.
The FaceFirst software helps create safer communities and more secure transactions while providing great customer experiences. Its computer vision platform is used by companies for face recognition and automated video analytics to help retailers, event venues, transportation centers, and other organizations prevent crime and improve customer engagement. FaceFirst software is accurate, fast, scalable, secure and private and it also offers plug-and-play solutions for physical security, identity authentication, access control and visitor analytics, and robust SDK/APIs for easy integration into any system.
As a leading provider of effective facial recognition systems, it benefits to retail, transportation, event security, casinos, and other industry and public spaces. The FaceFirst platform is designed to be scalable, fast and accurate while maintaining the highest levels of security and privacy. FaceFirst leverages artificial intelligence to integrate with surveillance systems to prevent theft, fraud, and violence. FaceFirst is proudly designed, engineered and supported in the USA.
TrueFace is an industry-leading computer vision model that helps people make sense of their camera data and turn it into actionable information. It offers only on-premise computer vision solutions which enhances data security and performance speeds for its partners. The platform-agnostic solutions are trained specifically for each deployment and work in a variety of ecosystems. It places the utmost priority on the diversity of training data ensuring equal performance for all ethnicities and genders.
Trueface has developed a suite of SDK’s and a dockerized container solution that harnesses the powers of machine learning and artificial intelligence to transform the camera data into actionable intelligence. Facial recognition, weapon detection, and age verification technologies are all easily deployable on organizations’ infrastructure, creating safer and smarter environments for their customers, employees, guests and more.
It is an AI Open Platform which offers computer vision technologies that enable people’s applications to read and understand the world better. It allows people to easily add leading, deep learning-based image analysis recognition technologies into their applications, with simple and powerful APIs and SDKs.
Face++, a platform enabled by Chinese company Megvii, uses AI and machine vision in a variety of amazing ways to detect faces, analyze 106 data points on the face, and confirm a person’s identity with a high degree of accuracy. Face++ also lets any developer create apps using its algorithms, which has helped make it the most extensive facial recognition platform in the world with 300,000 developers from 150 countries using it.
Significantly, Face++ is already integrated into Alibaba’s City Brain platform that analyzes the CCTV network in cities to optimize traffic flows and observe incidents that require police or medical attention.
It provides state-of-the-art, ethical face recognition to developers and businesses across the globe. People can integrate Face Recognition via Kairos cloud API, or host Kairos on their servers for ultimate control of data, security, and privacy. They can create safer, more accessible customer experiences.
Kairos Face Recognition On-Premises control the data privacy and security 100 percent while keeping critical data in-house and away from third-parties/hackers. It also speeds up the face recognition enabled products that reduce latency risks associated with running on public cloud deployment.
Kairos is growing new markets with confidence along with its ultra-scalable architecture which means people can search 10 million faces at approximately the same time as 1 face.
Cognitec’s FaceVACS Engine enables clients worldwide to develop new face recognition applications. It provides a clear and logical API for easy integration in other software programs. Cognitec provides the FaceVACS Engine through customized software development kits, with a set of functions and modules specific to each use case and computing platform, and based on tailored software licensing agreements. Such specific use cases include image quality check, verification for document issuance, and verification for access control.
Its features are:
• Powerful face localization and face tracking on images and video streams
• Industry-leading matching algorithms for enrollment, verification, and identification
• Accurate portrait characteristics check for gender, age, pose deviation, exposure, glasses, eyes closed, uniform lighting detection, unnatural color, image and face geometry
• ISO 19794-5 full-frontal image type checks and formatting as required for ePassports
• Supports multiple algorithms to work with two-dimensional intensity data, or two-dimensional data and corresponding range data (3D data)