Facial recognition and emotion detection are AI-based systems used for verification and recognition purposes. Artificial intelligence enables these systems to recognize faces and voices as well as analyze emotions.
These technologies are similar yet slightly different from each other. Facial recognition is a method of recognizing and checking a person’s identity using their face. It helps to identify people in photographs, videos and in-person as well. It maps a person’s facial features and stores them as a faceprint using the biometric software.
How face recognition software works
Facial recognition systems are categorized under four types of technologies
1. Face detection
It is an AI-based technology that helps to identify human faces in images. It uses facial expressions to identify parts of an image or video to determine age, gender and emotions. This technology can be applied to fields like security, biometrics, law enforcement, etc., for tracking and surveillance purposes.
2. Facial analysis
Facial analysis software maps facial features by measuring the space between the eyes, the gap between nose and lips, the shape of chin, etc., converts them mathematically, and stores them as ‘faceprints’.
3. Facial recognition
It is a method used to confirm an individual’s identity using their face. It can be in a photograph, video or in real-time. It also helps in verification processes. As mentioned before, it is a category of biometric security.
4. Emotion analytics
The emotion analytics software analyzes a person’s facial expression. It records their mood, attitude and emotional personality by analyzing the data collected on their verbal as well as non-verbal communications. Emotional analytics tells what people are feeling and why. It provides deep and contextual understanding with valuable insights to identify and resolve issues.
Benefits of facial recognition
Increases security
Facial recognition improves safety and security in places like airports and banks. It identifies potential threats and sends alerts to supervisors to take necessary actions. It is not only quicker, but even more accurate as compared to manual processes.
Reduces crime
The technology helps in preventing fraud and identifying people with criminal records. It sends a notification to bank security to pay more attention to such people as they might impose threats. Apart from this, it helps insurance agencies to detect and minimize fraudulent claims.
Faster processing
When you replace your current customer authentication processes with facial recognition, it becomes easier for customers to use your services. This approach will help your organization to incorporate digital-first experiences. And it will not be mandatory for a customer to be physically present at a place to use a service.
Benefits of emotion detection
Assess personality traits in interviews
A personal interview is a good way to interact with potential candidates and understand if they are fit for the position or not. However, it is not always possible to analyze a candidate’s personality in such a short period. Moreover, many categories of discussion and judgment make it even more complex. Here emotion detection technology comes into the picture.
Emotion detection can assess and measure a candidate’s emotions through facial expressions. It helps interviewers to understand a candidate’s mood and personality traits.
Human resources can take advantage of this technology to create recruiting strategies and design policies to get the best performance out of employees.
Product testing and client feedback
Emotion detection technology can help the product industry understand the real emotions of clients when they try a product. Companies can arrange a product testing session, record it and analyze it to detect and asses the facial emotions that arise during the session. Since emotion detection is powered by AI, it provides an ultimate method of assessing user response to new product launches.
Enhances customer service
Emotion detection enhances the user experience for almost every industry. Let’s take examples of retail and healthcare industries to understand this. With this technology, retailers can craft better offers for their customers by analyzing their browsing and buying patterns. And healthcare providers can use facial recognition to design better care plans and provide services much faster.
**Original Source: **https://www.softwebsolutions.com/resources/benefits-of-facial-recognition.html
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