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How to Use AI-Based Facial Recognition Technology
How to Use AI-Based Facial Recognition Technology

July 21, 2022

AI

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Technology has transformed from being a problem-solving force to a purpose-driven entity for humans. Technology was limited to computers, the internet, emails, and wired telephony when looking back in the 1990s. Although technological advancements have led to a change playing as an indispensable necessity in our lives and society. One of the major advances is the arrival of artificial intelligence (AI) and machine learning (ML). Which were conceptualized to replace human intervention for routine tasks. As well as it even handles mission-critical applications and contributes to safeguarding. One of the major advantages, i.e.,  AI in facial recognition technology has done wonders for the industry.

What Is Artificial Intelligence (AI)?

AI is a technology that simulates human intelligence processes using machines to construct cognitive decisions. From recognizing faces on the mobile lock screen which is done by AI in facial recognition technology to self-driving cars. AI has uncovered a new realm of leveraging technology.

How Does AI Function?

AI uses an array of unstructured data to analyze information patterns using AI algorithms. And correlate the information to deliver outcomes. Being programmed to create cognitive decisions, AI increases various forms of automation by harnessing neural networks, machine learning, and deep learning to arrive at a decision.

Where Is AI Used?

Artificial Intelligence is an essential part of various applications and SAS software. Applications include chatbots, image recognition, speech recognition, natural language generation, and sentiment analysis, to name a few.

AI provides a batch of characteristics that look promising for the products of tomorrow. AI can automate high-volume and frequent,  tasks by learning and discovering through data. Then, it adds intelligence to products in the areas of automation, conversational platforms, smart machines, and bots. Furthermore, it has the potential of self-learning through algorithms by finding structure and regularities. Then, AI performs a deep dive into the data sets to simplify building complex products like fraud detection systems. In addition, AI uses deep learning to ensure incredible accuracy by progressively analyzing the inputs. Lastly, AI helps in monetizing data for businesses to stay ahead of the curve.

Now let’s understand facial recognition.

What Is Facial Recognition?

AI in Facial recognition technology is one of the front-runner applications. It is one of the innovative forms of biometric authentication. It is capable of identifying and verifying a person using facial features in an image or video from a database.

Why Is Facial Recognition So Important Now?

There have been increased investments in facial recognition technology in recent years. Venture funding in facial recognition start-ups has seen a huge rise in 2021. With advancements in this technology, new use cases and business models in the field of airports, advertising, healthcare, security, proctoring, etc.

How Does Facial Recognition Work?

Face recognition uses AI algorithms and ML to identify human faces from the background. The algorithm starts by investigating the human eyes, followed by eyebrows, nose, mouth, nostrils, and iris. Firstly, all facial features are detected. Then, additional validations are done using large datasets containing both positive and negative images. Afterward, it confirms that it is a human face. Some of the most common techniques used for facial recognition are feature-based, appearance-based, knowledge-based, and template matching. Each of these approaches has its pros and cons.

Feature-based methods depend on features such as eyes or nose to identify a face. The result of this method could vary based on noise and light. Furthermore, the appearance-based approach uses statistical analysis and machine learning to match the characteristics of face images.

In a knowledge-based approach, a face is detected based on predefined rules. This could be challenging since the efforts needed to define well-defined rules. However, the template-matching approach compares images with previously stored face patterns or features. And then correlate the outcomes to identify a human face. Although, this method fails to address variations in scale, pose, and shape.

Conclusion

AI in facial recognition technology offers a multitude of opportunities and endless possibilities for the betterment of the world. Nevertheless, it is important to pay attention to the ethics and privacy of people while dealing with data. Security, management, and data storage are the other aspects that will play an important role in making these technologies invasive.

 

FAQs

What are the technologies used in facial recognition?

Facial Recognition technology uses AI and ML to recognize human faces from the background. The algorithm typically begins by searching for human eyes, and then eyebrows. Followed by nose, mouth, nostrils, and iris.

What is AI technology?

AI technology is the simulation of human intelligence processes by machines, particularly computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision.


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