Face Recognition

Computer Vision can be used for a variety of applications, such as security and surveillance, customer service, and marketing. For example, it can be used to detect people who are loitering in a restricted area or to identify potential customers in a retail store. Face detection can be used in conjunction with other technologies, such as object recognition, to create a more comprehensive system. Are people wearing facial masks? How many people are in the store? What is the average age of the people in the store? These questions can be answered with the help of face detection and object recognition.

Here we built a webcam that can automatically identify faces and features in real time. It can also detect age, gender, and emotions. The results are displayed in the browser, for the user it feels like looking into a mirror enhanced with Augmented Reality (AR) features, where one can see information about the person that is being detected.

As you can see, the AI draws green dots onto the eyes, the nose, and a red square around the face. It can also make a guess about the age of the person, the gender, whether they are wearing glasses or not, as well as their emotional state.

Privacy is a concern with this technology, as it can be used to collect biometric data without the consent of the people involved. It is important to ensure that this technology is used responsibly and with the proper safeguards in place. Various ethical and privacy concerns need to be considered before deploying this technology on a large scale.