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.

Comments

Post a Comment

Popular posts from this blog

Image
Following The Right Structure For Text Data Mining  Glance Everyday we interact with various media (such as audio, text images, videos, and text) depending on our brains to process what we see and draw sense of it to guide our actions. The most commonly used kinds that media are text which is the basis of the languages that we use to communicate. Since it is so widely used, annotation of text needs to be performed with precision and completeness. Machine learning (ML) the machines learn to read, comprehend and process, as well as produce text in a useful way to interact with humans via technology. As per the 2020 State of AI and Machine Learning report 70% of businesses said that text is a kind of data they employ in the AI solutions. It is not surprising, considering that the revenue-generating and cost-saving benefits of using text-based AI across all sectors are immense. As computers advance in their ability to read human speech, the value of training with high-quality text data is
Read more

The Real Hype Of AI In Retail Market And Ecommerce

Image
  Artificial Intelligence in Retail Market hype was all the rage in the past year, and the truth of A.I.   is hot today.   Actually the majority of companies declare that they have made use of A.I.   throughout their business in 2017, an increase of 31 percent over 2016.   and 791 publicly-traded companies included A.I.   during their earnings calls during Q3 2017. What is this referring to?   It is a sign that A.I.   is on the verge of reaching "big data" or "blockchain" the level of fame.   In the near future, even the most unlikely of companies will claim to be using the technique (imagine Long Island Iced Tea becoming an blockchain company) to keep up with the current trend and earn some positive publicity.   In reality, TGI Fridays is using A.I.   to make cocktails automatically tailored to your preferences. Alexa will transform into a mixologist from the convenience of your own home.   This is a great way to make use of A.I.   and an amazing customer experien
Read more
Image
GTS.AI smoothers VIDEO DATASET mining for AI projects. Glance Video Mining is identifying patterns in audiovisual content without supervision. The job mining process can take advantage of its temporal (motion) and spatial (color textures, forms, and text section) characteristics. The process of obtaining useful information from massive data sets demands the application of visual methods for data mining that visualize knowledge and data. Visual data mining combines these two elements, making it an attractive and effective way to understand the distribution of data patterns, clusters, and outliers. The GTS has discovered that data video and data mining can be two different fields that can join to produce visually-based data mining. It could also be linked to multimedia systems, high-performance computing, pattern recognition, computer-human-computer interaction, and graphics. It can typically combine data mining and data video in different ways. Data videos in the context of GTS, the dat
Read more