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 watch list 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.

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Deep Vision AI

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 watch list 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.

Sense Time

As a leading technology platform developer, SenseTime is dedicated to creating industry solutions via innovations in AI and big data analysis. SenseTime’s multi functional 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

Amazon Rekognition

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 Recognition 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.

Face First

The Face First 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.

Face First 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 main supplier of compelling facial acknowledgment frameworks, it advantages to retail, transportation, occasion security, club, and other industry and open spaces. The Face First stage is intended to be versatile, quick and precise while keeping up the most significant levels of security and protection.

Face First use man-made consciousness to coordinate with reconnaissance frameworks to anticipate burglary, misrepresentation, and savagery. Face First is gladly planned, built and bolstered in the USA.

True face

TrueFace is an industry-driving PC vision model that assists individuals with comprehending their camera information and transform it into noteworthy data. It offers just on-premise PC vision arrangements which upgrades information security and execution speeds for its accomplices.

The stage skeptic arrangements are prepared explicitly for every organization and work in an assortment of biological systems. It puts the most extreme need on the decent variety of preparing information guaranteeing equivalent execution for all ethnicities and sexes.

Trueface has built up a suite of SDK’s and a dockerized holder arrangement that outfits the forces of AI and man-made consciousness to change the camera information into noteworthy insight.

Facial acknowledgment, weapon discovery, and age confirmation advancements are for the most part effectively deployable on associations’ framework, making more secure and more astute conditions for their clients, workers, visitors and that’s only the tip of the iceberg.


It is an AI Open Platform which offers PC vision innovations that empower individuals’ applications to peruse and comprehend the world better. It enables individuals to effectively include driving, profound learning-based picture examination acknowledgment advances into their applications, with basic and incredible APIs and SDKs.

Face++, a stage empowered by Chinese organization Megvii, utilizes AI and machine vision in an assortment of astonishing approaches to distinguish faces, break down 106 information focuses on the face, and affirm an individual’s character with a high level of precision.

Face++ likewise gives any engineer a chance to make applications utilizing its calculations, which has helped make it the most broad facial acknowledgment stage on the planet with 300,000 designers from 150 nations utilizing it.

Fundamentally, Face++ is as of now incorporated into Alibaba’s City Brain stage that dissects the CCTV organize in urban areas to upgrade traffic streams and watch episodes that require police or restorative consideration.


It gives best in class, moral face acknowledgment to engineers and organizations over the globe. Individuals can coordinate Face Recognition by means of Kairos cloud API, or host Kairos on their servers for extreme control of information, security, and protection. They can make more secure, increasingly available client encounters.

Kairos Face Recognition On-Premises control the information protection and security 100 percent while keeping basic information in-house and away from outsiders/programmers. It likewise accelerates the face acknowledgment empowered items that decrease dormancy dangers related with running on open cloud organization.

Kairos is developing new markets with certainty alongside its ultra-versatile engineering which means individuals can look through 10 million countenances at around a similar time as 1 face.


Cognitec’s Face Vacs Engine empowers customers worldwide to grow new face acknowledgment applications. It gives a reasonable and sensible API for simple incorporation in other programming programs.

Cognitec gives the Face Vacs Engine through modified programming improvement units, with a lot of capacities and modules explicit to each utilization case and processing stage, and dependent on custom fitted programming permitting understandings.

Such explicit use cases incorporate picture quality check, confirmation for record issuance, and check for get to control.

Its highlights are:

• Powerful face limitation and face following on pictures and video streams

• Industry-driving coordinating calculations for enlistment, confirmation, and distinguishing proof

• Accurate representation attributes check for sexual orientation, age, present deviation, presentation, glasses, eyes shut, uniform lighting recognition, unnatural shading, picture and face geometry

• ISO 19794-5 full-frontal picture type checks and arranging as required for ePassports

• Supports numerous calculations to work with two-dimensional force information, or two-dimensional information and comparing range information (3D information)