Image data collection and it's use for Facial Recognition?
Imagine a world in which there is no need for ID cards, passports, or any physical identification at all. This world would be possible once we could recognize humans using facial recognition on our phones, computers and tablets. With the rise of social media and the capture of image data, it’s easier for facial recognition software to find your photos. Even if you’re not using a facial recognition app, there is a very good chance that your face has been captured in a photo on Facebook or Instagram at some point in time.
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.
What is Facial Recognition?
Facial Recognition is a method of using your face to identify or confirm your identity. People can be identified in pictures, films, or in real-time using facial recognition technology. Facial recognition has traditionally functioned in the same way as other “biometric” identifying methods including voice recognition, eye irises, and fingerprint identification. For example, fingerprint data is collected and processed for identifying markers. A newly discovered fingerprint can then be compared to this database to see whether any markers match. In the same way, facial recognition works. A computer examines visual data and searches for a specified set of indicators, such as a person’s head shape and the depth of their eye sockets.
How do Facial Recognition works?
The facial recognition industry is rapidly growing, thanks to advances in AI, machine learning, and deep learning technologies. Facial recognition is a type of technology that can identify a person only by looking at them. It identifies, collects, stores, and evaluates facial traits so that they can be matched to images of people in a database using machine learning techniques. It’s difficult to say exactly how facial recognition works. However, in order to understand the idea, we must consider certain key issues that a machine must address in order to advance. Face detection, feature extraction, face recognition, and face verification procedures are the approaches used, and to make all this possible, we need high-quality and customized Dataset For Machine Learning.

What are the Use Cases of Facial Recognition?
There are many industries that are making use of face recognition technology, some of the use cases are:
How can GTS help you?
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. Our datasets are of excellent quality and are carefully designed to match your needs and solve your problems. We also offer image datasets, Video datasets, Text datasets, and Audio datasets. Our multiple verification methods ensure that we always deliver the finest quality image dataset.
GTS gives the quality approves datasets to it's clients along with Data Annotation, Audio Transcription and OCR Datasets collection services. Choose with you project needs and get the time efficient, all managed datasets for your business.
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