Oodles AI

Oodles AI

1588843316

5 Applications of Facial Recognition Technology

Leading global businesses are exploring the far-reaching capabilities of facial recognition technology (FRT) to engage audiences and improve revenues. Facial recognition techniques are useful for strengthening security systems, building personalized products, tracking employee performance, and more.

However, similar to other artificial intelligence services, implementing facial recognition technology involves challenges arising from racial differences, image manipulation, etc. Overcoming such challenges is critical for the successful application of facial recognition technology.

This blog post holistically discusses five applications of facial recognition technology that accelerate business operations.

Understanding AI’s Role in Facial Recognition
Facial recognition technology (FRT) enables the identification and validation of human faces from images, videos, and other forms of graphics. The system traces facial features, contours, and texture to analyze the unique biometric and demographic details of individuals or groups of people.

FRT algorithms work by filtering large chunks of data including contextual 2D and 3D human images. Deep learning, an AI subset is essential for scanning and tracing distinct facial features from images in real-time. It generates a “unique face print” for each image by analyzing nose width, eye distance, and other features or ‘nodal points’.

Under the umbrella of AI development services, facial recognition is regarded as an effective surveillance mechanism. Apart from surveillance, AI researchers are exploring FRT to build smart devices, augment customer outreach efforts, manage access points and more.

Moreso, McKinsey Global Institute’s research suggests that by 2030, AI can deliver an additional global economic output of trillion per year. Amazon, Facebook, Apple, and Google are few of the many giants who are massively investing in advanced facial recognition systems.

5 Business Applications of Facial Recognition Technology

  1. Controlling Access
    Enterprise IT systems store confidential employee and consumer data, which requires a secure infrastructure. It is, therefore, critical for businesses to guard entry gateways, restricted areas, and other crucial access points with advanced check-in ports.

Here are a few use cases of FRT for access control-

a) Security cameras with in-built facial recognition abilities can enhance surveillance systems.

b) Powered by deep learning, the cameras can identify, validate and differentiate between employees and perpetrators in real-time. Also, it is effective at detecting duplicates.

c) Large organizations can easily integrate FRT into turnstiles or baffle gates to ensure authenticated access into office premises.

Social media giant, Facebook launched DeepFace in 2014 to pioneer FRT applications. The FRT backed program demonstrated 97.25% accuracy in detecting if two faces in an image belong to the same person. It was followed by Google’s FaceNet that demonstrated a 100% accuracy score.

  1. Tracking Attendance
    Unlike biometric attendance systems that are prone to hacking, FRT-powered attendance tracking is more agile and immune to hacks. Jan Krissler, a prominent hacker, disrupted the fingerprint-enabled security systems by recreating German Defence Minister’s fingerprints, using her original images.

FRT-enabled attendance systems combat fraudulent entry and access by scanning facial features with granular precision. Inherent and distinct human features such as jawline, the distance between the eyes and mouth, etc. ensure high accuracy and error detection.

  1. Enhancing Customer Services
    Maintaining reputation and strong customer relations is no more limited to manual feedback and complaint redressals. After AI-powered chatbots, FRT is empowering businesses to serve better and ensure customer loyalty in the following ways-

a) Individual Face ID can be used by retailers and eCommerce businesses to provide personalized recommendations and shopping experience to shoppers. Also, FRT can be used to send custom notifications and deals to influence buying decisions.

b) Following the footsteps of card payments, businesses are now looking forward to conducting transactions with facial recognition systems.

Learn more: Applications of Facial Recognition Technology

#facial recognition technology

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Buddha Community

Joseph  Murray

Joseph Murray

1623302550

Top 5 Java Web Application Technologies You Should Master in 2021

Web Development in Java

Java is a commonly used language for web development, especially on the server-side. Java web applications are distributed applications that run on the internet. Web development with Java allows us to create dynamic web pages where users can interact with the interface.

There are various ways through which you can create dynamic web pages in Java. The Java EE (Enterprise Edition) platform provides various Java technologies for web development to developers. Services like distributed computing, web services, etc. are provided by Java EE. Applications can be developed in Java without using any additional scripting language. Let us see how web applications are made via Java.

**Java Web Application **

Java Web Application Technologies

#software development #java #java web applications #web applications #java web application technologies #top 5 java web application technologies you should master

Lokesh Kumar

1603438098

Top 10 Trending Technologies Must Learn in 2021 | igmGuru

Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.

  1. Data Science
    First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.

  2. DevOps
    Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.

  3. Machine learning
    Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.

To want to know more click on Top 10 Trending Technologies in 2021

You may also read more blogs mentioned below

How to Become a Salesforce Developer

Python VS R Programming

The Scope of Hadoop and Big Data in 2021

#top trending technologies #top 10 trending technologies #top 10 trending technologies in 2021 #top trending technologies in 2021 #top 5 trending technologies in 2021 #top 5 trending technologies

Oodles AI

Oodles AI

1588843316

5 Applications of Facial Recognition Technology

Leading global businesses are exploring the far-reaching capabilities of facial recognition technology (FRT) to engage audiences and improve revenues. Facial recognition techniques are useful for strengthening security systems, building personalized products, tracking employee performance, and more.

However, similar to other artificial intelligence services, implementing facial recognition technology involves challenges arising from racial differences, image manipulation, etc. Overcoming such challenges is critical for the successful application of facial recognition technology.

This blog post holistically discusses five applications of facial recognition technology that accelerate business operations.

Understanding AI’s Role in Facial Recognition
Facial recognition technology (FRT) enables the identification and validation of human faces from images, videos, and other forms of graphics. The system traces facial features, contours, and texture to analyze the unique biometric and demographic details of individuals or groups of people.

FRT algorithms work by filtering large chunks of data including contextual 2D and 3D human images. Deep learning, an AI subset is essential for scanning and tracing distinct facial features from images in real-time. It generates a “unique face print” for each image by analyzing nose width, eye distance, and other features or ‘nodal points’.

Under the umbrella of AI development services, facial recognition is regarded as an effective surveillance mechanism. Apart from surveillance, AI researchers are exploring FRT to build smart devices, augment customer outreach efforts, manage access points and more.

Moreso, McKinsey Global Institute’s research suggests that by 2030, AI can deliver an additional global economic output of trillion per year. Amazon, Facebook, Apple, and Google are few of the many giants who are massively investing in advanced facial recognition systems.

5 Business Applications of Facial Recognition Technology

  1. Controlling Access
    Enterprise IT systems store confidential employee and consumer data, which requires a secure infrastructure. It is, therefore, critical for businesses to guard entry gateways, restricted areas, and other crucial access points with advanced check-in ports.

Here are a few use cases of FRT for access control-

a) Security cameras with in-built facial recognition abilities can enhance surveillance systems.

b) Powered by deep learning, the cameras can identify, validate and differentiate between employees and perpetrators in real-time. Also, it is effective at detecting duplicates.

c) Large organizations can easily integrate FRT into turnstiles or baffle gates to ensure authenticated access into office premises.

Social media giant, Facebook launched DeepFace in 2014 to pioneer FRT applications. The FRT backed program demonstrated 97.25% accuracy in detecting if two faces in an image belong to the same person. It was followed by Google’s FaceNet that demonstrated a 100% accuracy score.

  1. Tracking Attendance
    Unlike biometric attendance systems that are prone to hacking, FRT-powered attendance tracking is more agile and immune to hacks. Jan Krissler, a prominent hacker, disrupted the fingerprint-enabled security systems by recreating German Defence Minister’s fingerprints, using her original images.

FRT-enabled attendance systems combat fraudulent entry and access by scanning facial features with granular precision. Inherent and distinct human features such as jawline, the distance between the eyes and mouth, etc. ensure high accuracy and error detection.

  1. Enhancing Customer Services
    Maintaining reputation and strong customer relations is no more limited to manual feedback and complaint redressals. After AI-powered chatbots, FRT is empowering businesses to serve better and ensure customer loyalty in the following ways-

a) Individual Face ID can be used by retailers and eCommerce businesses to provide personalized recommendations and shopping experience to shoppers. Also, FRT can be used to send custom notifications and deals to influence buying decisions.

b) Following the footsteps of card payments, businesses are now looking forward to conducting transactions with facial recognition systems.

Learn more: Applications of Facial Recognition Technology

#facial recognition technology

Is There A Case Of Regulating Facial Recognition Technology?

Being one of the most scrutinised technologies of the current era, the debate against facial recognition has been raging for quite some time. However, the recent notable incident of “killing of George Floyd by a Minneapolis police officer” has brought in the urgency for framing a strict regulation and guidelines against using this technology by law enforcement. Nevertheless, in the current era, this divisive technology has penetrated almost every aspect of human lives — smartphones, airports, police stations, advertising, and payments. It has also replaced the dated technology of biometrics amid COVID pandemic. But, the growing concerns of the recent incident has urged tech giants to reckon their decisions of building and offering this technology to police authorities.
Read more: https://analyticsindiamag.com/is-there-a-case-of-regulating-facial-recognition-technology/

#facial #recognition #technology

clemency beula

clemency beula

1607409049

Fuse with the radical technology using the Face Recognition Employee Attendance Software

We are witnessing a lot of impacts in the world because of the COVID-19 pandemic. There is not much we could do to compensate for all the losses at once. But it can eventually be overcome. And the reason for this hope is ‘technology’.

Everything is just at an arm’s reach with the technology and it’s been proven time-to-time to us. One such thing that makes people still and stare for a moment is the Face Recognition Employee Attendance Software.

Face recognition is one of the most advanced technologies that is being implemented in the corporate industry now.

The software is mainly responsible for marking the attendance of the employees without them having to touch the screen.

Since ‘touch’ has become the most dangerous word in recent months, the system helps people to get away from it.

This software is also known as Contactless Attendance System that follows a highly hygiene scanning. Let’s look at the workflow:

  • The employee would stand in front of the device camera and the facial features get analysed. *
  • The features are then compared with the database containing the faces of all the employees. The user details are retrieved from the database.*
  • The user will be scanned to ensure that he/she has a mask and once they put the mask on, the system scans the face again.*
  • The social distancing guidelines are examined by scanning the area around the user. *
  • Once the criterias are matched, the attendance of the user is marked.

Working models of the software:
The software works in two different models such as:

Tab-based model:
The tablet having this software solution, will have to scan their faces at the entry points. They will wait for the system to confirm the checklist like detecting face masks and social distancing.

Mobile-based model:
The mobile-based model is safer, since it involves logging in with the WiFi server and login to the accounts. After matching the criteria, attendance would be marked.

On a concluding note, Employee contactless attendance software is the future. So, make the most out of it by contacting our team right now!

#face recognition attendance software #face recognition employee software #face recognition employee attendance software #face recognition based attendance software #contactless facial recognition attendance system