Exploring The World of Face Recognition Using Artificial Intelligence

In the world of artificial intelligence and other technological marvels, facial recognition technology has evolved to become expansive and integrated. From big banking institutions and credit card organizations to different technological platforms and law enforcement agencies, the growth of facial recognition as a technological tool across various industries has been stupendous, to say the least.

In the years ahead, many businesses and tech-savvy individuals are expected to step up their physical security and access control solutions with the adoption of face recognition software.

In this article, we will glimpse through the world of facial recognition and how AI is transforming this industry.

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What is Facial Recognition?

Facial recognition can be defined as a system that uses biometrics software to map an individual’s facial features from a video or photo and store the data. The system then adopts deep learning algorithms to compare the real-time image to run it against the stored face print database to look for a match or verify an individual.

Image processing and machine learning are the driving force behind this technology. One of the best things about this technology is that unlike palm-print or finger-print detection, face recognition is the least intrusive and can be taken without the user getting to know.

The accuracy of this system has massively upgraded over the last decade. According to some tests, the National Institute of Standards and Technology stated that the finest face identification algorithm had an error rate of just 0.08%, a tremendous improvement from 2014 when the error rate was 4.1%.

Face Recognition can be used in a variety of security-based applications such as criminal detection, airport security, face tracking, etc.

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The Growth of the Facial Recognition Industry

Interestingly, the facial recognition industry went from strength to strength when the pandemic hit. During this time, a number of organizations replaced their badge or fingerprint readers with facial recognition systems.

The facial recognition industry has witnessed phenomenal growth in the last couple of years. According to Allied Market Research, in 2020, the global facial recognition market size was valued at $3.83 billion, and by 2030; the market is predicted to touch $16.74 billion, with a CAGR of 16.0% from 2021 to 2030.

The Advent of AI-based Video Surveillance

In the last couple of years, the gradual rise of AI-based video surveillance systems has remarkably transformed the industry. One of the biggest advantages of AI is that it has the power to smartly automate and analyze huge amounts of surveillance data to extract insights without any human assistance. Another function of AI is that it can accurately analyze live video streams on its own. AI offers facial, faceless, behavior, and object detection. Some of the smart AI features help in:

• Intrusion detection.
• Crime prevention.
• Object classification.
• GPS mapping.
• Behavioral analysis.
• Motion and speed detection.
• Vehicle tagging and tracking.

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Face Recognition Softwares

Several businesses are constantly looking for ways to innovate and improvise face recognition software and to ensure it is bankable and 100% foolproof. We have collated a few popular face recognition software below:

Deep VisionAI

Leading the way in this domain is Deep VisionAI offers a plug-and-play platform to users globally. With the proprietorship of advanced computer vision technology, Deep VisionAI can automatically understand videos and images.

Deep VisionAI enables its users to blend face recognition capabilities with other AI-based features of Deep Vision AI to extract correlated data of consumers.

Highlights of Deep VisionAI

• Real-time data of users.
• Effortlessly understands videos and images.
• Enhanced accuracy.
• Can be connected to any camera system.
• Frequency of customer visits.
• Provides attributes like gender to better understand consumer behavior.

FaceFirst

This software takes care of the safety of communities, and safer transactions and offers an elevated customer experience. FaceFirst offers enhanced accuracy, privacy, quickness, and security. In order to prevent crime and enhance customer engagement, several organizations have implemented FaceFirst.

To prevent theft and fraud, this software ensures the implementation of artificial intelligence along with the existing surveillance system. This can be beneficial across industries like retail, event security, c*****, transportation, etc.

Highlights of FaceFirst

• Its plug-and-play solutions are included for physical security, access control, and visitor analytics.
• Easy integration into the system.
• Used for face recognition and automated video analytics.
• AI integration with the existing surveillance system.

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SenseTime

This popular platform is dedicated to creating solutions with the help of AI and big data analytics. SenseTime offers multifunctional technology.

It comes with a host of different sub-parts like SensePortrait-S, SensePortrait-D, and SenseFace. SenseTimes was implemented by several companies as well as the government.

Highlights of SenseTime

• Provides smart video analytics.
• Facial and image recognition.
• Autonomous driving.
• Medical image recognition.

Kairos

Kairos is considered an ethical facial recognition solution and is available to developers as well as businesses, globally. With its Kairos cloud API, it can be used for Face Recognition or the users can host it on their servers. With Kairos, companies can promise its customer a safer environment and better accessibility experience. Kairos Face Recognition On-Premises controls data privacy ensuring, keeps critical data in-house, and protects it from potential hackers.

Highlights of Kairos

• Users can host it on their servers.
• Better customer accessibility experience.
• Keeps sensitive data in-house and safe from hackers.
• It can search for 10 million faces simultaneously.

True Face

This popular computer vision model enables users to not just understand their camera data but also convert the same into actionable information. It has developed a suite comprising SDK’s and a dockerized container solution which are based on AI and ML capabilities. It is an on-premise solution that improves performance speed and enhances data security. True Face uses facial recognition, weapon detection, and age verification technologies to enable companies to create smarter environments for their customers and employees.

Highlights of True Face

• Capable of operating in different ecosystems.
• Improves performance speed and enhances data security.
• It is trained specifically per individual deployment requirements.

Conclusion

The power of AI and ML in the face recognition industry is not exaggerated, considering how it pays intricate attention to the privacy of people while dealing with something as sensitive as data and ensuring the safety of the customer. Undoubtedly, AI possesses limitless possibilities to ensure the betterment of the world, and face recognition is just a figment of it.