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Machine Learning in Facial RecognitionBreakthrough for Businesses

machine learning

Shedding Light on ‘Machine Learning’ 

Machine learning, another way to use Artificial Intelligence, was defined by Arthur Samuel, pioneer of AI in 1950s as:

‘The field that enables computers to learn without explicitly being programmed.’ 

Machine learning initiated the theory that computers can learn .Themselves from data and accordingly make decisions but with minimal human intervention. Machine learning is everywhere from predictive text, apps, presentation of social media fields to shows that Netflix suggests. Data includes numbers, texts or photos for instance, bank transactions, pictures in databases of companies providing face verification solutions. Machine learning is widely used as a face recognition technology by many industries. 

Working Mechanism of Machine Learning

Machine learning has enabled and accelerated online face verification. By who in the image is by simply manipulating and detecting along with identification of the face structure. It can store large amounts of information in physically inaccessible places which makes it confidential. This is enough to show how machine learning, a type of AI, has taken over the industries. As per a survey conducted in 2020 by Deloitte 67% of the industries are already. Using this technology for facial recognition of the customers.And 97% have planned to incorporate the machine learning tech up till next year. It has enabled the verifying businesses  to:

  • Enhance business related operations
  • Identification of customers, their need and their level of satisfaction
  • Easily adapt to the market’s ever-changing scenarios

Industries Harnessing Machine Learning for Facial Verification

The AI market in 2020 was valuing by Statista Digital Economy Compass. At 22.59 billion USD. with the prediction that it will grow more in upcoming years. Face recognition will used by industries to verify their customers. As well as by the government to identify criminals and re-offenders. 

Safety and Scrutiny

As well as Industries providing security by surveillance can boost their systems by using face verification through AI-powered systems to streamline their company. This system, once installed at the backend of surveillance cameras. Can predict threat and intrusion, individual detection . As well as comparison of real time selfie with photo ID. Detect fraud and anti-spoofing by using liveness feature and online and on-device facial verification. 

Healthcare Sector Machine Learning

Therefore The inclusion of AI driven solutions in the healthcare centres ensures the safety of patient’s details. And data with prevention of fraudulent acquiring of benefits. Face recognition helps in easy access of a patient’s medical history. And if circulated in databases, it will be accessed. At different facilities which will ultimately add in quick treatments. 

Law Enforcing Authorities Machine Learning

AI solutions have benefited law enforcing authorities the most with their hassle free solution which aids in identifying criminals within seconds and keeping a track of their behavior and activities when they are on parole or released. This technology is helping the modernization of the police system. They can easily match a picture or a face in a video with the existing data.

Market and Retails Machine Learning

Retail industry, at the forefront, uses machine learning technology for know Your Business  efficiency. To do so they identify their customers that enter the market with the help of CCTVs and ultimately can define their desires and needs. This has originated check-out free stores, count, detection, tracking and optimizing customer experiences all the way. 

The Potency of Machine Learning 

Ensuring Cyber-Security

ML helps in increasing the security of a company and also prevents intrusions by detecting threats and identifying the person who is trying to access the system. It allows providers to come up with new and improved solutions.

Enhancing Data Entry

ML and AI are solutions that have minimizing the need for manual entry of data because when the face is run through the camera the data is already there and easily accessible for the company.

Fraud Prevention

When the facial details of a customer are enrolling and saved in the database of the system then it becomes hard for the fraudsters to breach in by using a fake identity.

Real-Time Recognition 

The picture or the video, when scanned, focuses the face and runs it through identification by matching it with the data present in the databases. The recognition process produces numeric and symbolic information from photos which directs to data mining.

E-commerce Industry’s Progress

Most of the e-commerce websites are using ML to monitor their customer’s purchase history and improve their services accordingly. Identifying the face provides the company’s system with the rest of the information. 


AI techniques are benefiting the healthcare centre a lot by verifying their patients and keeping their information private. It will be identifies the patients and also if they have undergoning the treatmented before or are they really backing up by the insurance.  


Machine learning, a kind of AI technology, is providing aid to almost every sector with face verification solutions, may it be healthcare, retail, law enforcement or government. People travelling go through the entrance which has a camera and they identify the travelers and verify them. Banking has shifted from traditional old ways of transactions and transferring to new digitized methods because of face recognition technology because it has made the process so much easier. Similarly, every industry is opting for these authentic and easy solutions to enhance customer experience.

Law enforcement agencies have profited the most from AI solutions since they provide a hassle-free option for identifying offenders in seconds and tracking their behaviour and activities while they are on parole or freed. This technology is assisting the police system’s modernization.

They can quickly match a photo or a face in a video to the data they already have.Machine learning has enabled and accelerated online face verification by simply changing and recognising the face structure, as well as identifying who is in the image. It has the ability to store massive volumes of data in physically unreachable locations, making it secure. This is enough to demonstrate how machine learning, a sort of artificial intelligence, has taken over industries. According to a poll performed by Deloitte in 2020, 67 percent of sectors are now employing this technology for customer facial recognition, and 97 percent have plans to use machine learning technology by next year. It has given corporations the ability to.