Facial Recognition Technology


Quick Start

Facial Recognition leverages technology to recognize a face of a person. It is software that assists to identify a person based on the facial features which are unique to the individual, either by comparing them to a database or making patterns. In the majority of cases facial recognition analyses the facial characteristics that are unique to the individual and then compares them to the database, and then determines the individual.

Facial recognition is nothing new, in fact, it's been here since the 1960s, but it sparked conversations after the 2010s when Facebook started recognizing people in images. It was used to unlock our smartphones from the beginning and recently moved to more serious issues in law enforcement. Imagine what it could do as the technology progresses! But in order to develop a model that recognizes faces, a large amount of Image Data Collection is required. In this article, we will know what facial recognition is, how it works, its use cases, and more. 

Working Structure Of Face Recognition System?

The facial Recognition algorithms are trained using deep neural networks. They are fed by a vast database of images of faces that have been identified in certain locations.

1. Image Detection

The camera can detect and recognize a face in footage or photos, either in a crowd or on its own. The algorithm for facial recognition has a high probability of spotting an individual's face when the person is straight.

2. Analysis

The algorithm can identify around 80 points of nodal on the face of a person through the analysis of the geometry that the facial structure. The nodal points are used to identify the distinctive and particular features of a face, from the long and wide of the nose, to the space between eyes the depth of the eye sockets, as well as the form of the chin as well as cheekbones, among other things.

3. Conversion of data

Based on the analysis of the algorithm, it detects the fingerprint of the individual, which is mathematical formula. The formula will be different for each individual, similar to every person possessing an individual fingerprint.

4. Faceprint Matching

The algorithm that recognizes faces examines the faceprint of the user against a database of facial recognition and, using a pre-set threshold it searches for matches. The matches are then sorted and displayed.

Applications Of Facial Recognition Technology In Machine Learning

The technology has been utilized in a variety of ways in recent times. From tech companies and law enforcement organizations everyone has attempted to get the most benefit from this technology. Face recognition technology has helped police agencies in identifying criminals. The public has come across this technology in some way or another throughout their everyday lives. For instance, tagging pictures on Facebook or apps made from Google, Microsoft & Apple have benefited from this technology in making albums for people who socialize all with the help of AI Dataset.

Below are a few current applications for Recognition Technology for Facial Recognition Technology;

Effective Surveillance using Facial Recognition

In the security industry The primary use to make use of the facial recognition systems to identify unauthorized access of non-authorized persons into restricted areas. The technology can be integrated with IP cameras, which are utilized for surveillance of restricted areas. In order to detect threats and identify any intrusions they are armed with blacklists as well as whitelists for specific areas. They come with security features for monitoring assets and perimeters.

Fleet Management

Fleet managers are now able to remotely monitor drivers with precision through facial recognition. The camera inside the vehicle assists in identifying the driver and assign tasks according to the shift schedule. It can help protect against theft when an unauthorized person attempts to get into the vehicle, by notifying immediately to the driver.

Smarter Border Control

Facial Recognition is being employed to assist in a more intelligent border control aiding in the identification of illegal immigrants as well as criminals. INTERPOL is the owner of the Face Recognition System that is very well supported by a database of facial images that contains data from over 160 countries, making it among the most unique worldwide criminal databases. The database has been linked to border controls to identify criminals with precision.

How GTS And Face Recognition Technology Working Together?

Global Technology Solutions has the skills, knowledge, resources, and capacity to provide you with whatever you require in terms of image datasets ad image data collection for face recognition technology in advanced gadgets. Our datasets are of excellent quality and are carefully designed to match your needs and solve your problems. We also offer Video datasets, Text datasets, and Audio datasets. Our multiple verification methods ensure that we always deliver the finest quality image dataset along with Data Annotation, and OCR Data Collection services. Choose with you project needs and get the time efficient, all managed datasets for your business.

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