Facial recognition is an application that generates numerical
representations by analyzing pictures of human faces, to compare against other
human faces to verify a person’s identity. From checkout-free at retail stores
to identifying missing or exploited victims of human trafficking, facial
recognition is changing industries by serving various purposes.
It applies sophisticated computer vision technology to know video and
images automatically, changing visual content into valuable insights and
real-time analytics. With over 500M existing cameras across the world,
Deep Vision AI enables us with the ability to analyze camera streams through various
AI-based software on a single plug-and-play platform, enabling users with faster
responsiveness and real-time alerts.
SenseTime is focused on generating business solutions via
innovations in AI and big data analytics. SenseTime’s multifunctional technology
is quickly growing and already includes image recognition, facial recognition, autonomous
driving, intelligent video analytics, and medical image recognition.
its platform software
• SensePortrait-S • SensePortrait D
Rekognition is a cloud-based SAAS computer vision platform by
Amazon, which makes it simple to add a picture and video analysis to applications
utilizing proven and highly scalable, deep learning tech that needs no machine
learning knowledge to use. This platform enables one to identify, people, objects,
scenes, text, and activities in pictures and videos, also identify any
inappropriate content. It also allows for extremely accurate facial analysis
and facial search features that can be utilized to identify, analyze, and check
faces for a number of consumer verification, people counting, and public safety
The FaceFirst software aims to create safer communities and secure
transactions while providing great buyer experiences. Its computer vision platform is utilized by businesses for facial recognition and automated video
analytics to enable retailers, transportation centers, event venues, and other businesses to prevent crime and boost consumer engagement.
True Face is a leading business-computer vision model that enables
people to make sense of their camera info and transform it into actionable
information. Although It offers only on-premise computer vision solutions that
enhance data security and performance speeds for its partners. The
platform-agnostic solutions are specially trained to work in a variety of ecosystems.
It keeps the highest priority on the diversity of training data ensuring equal functionality
for all ethnicities and genders.
It is an AI Open Platform that has computer vision
technologies that allow people’s applications to comprehend the world better.
It enables people to simply add leading, deep learning-based image analysis
recognition technologies into their applications, with powerful APIs and SDKs.
Face++ uses AI and machine vision in so many amazing ways
to identify faces, analyze 106 data points on the face, and confirm an individual’s
identity with a high degree of specificity.
How data science is
used in facial recognition:
1. Identifying Human
quantity of digital data is being used by businesses to deliver better services
to their customers. The facial recognition system interprets all the features
of the face and compares it with its database to find a match.
2. Detecting Objects
use machine vision technologies along with a camera and AI software to get
image recognition. Since picture recognition is leveraged to act upon a lot of
machine-based visual tasks, from labeling the info of pictures with meta-tags
to performing picture content search; visual search is one of the most advanced
tools of data science.
3. Recognizing Patterns
science is effective at recognizing any exclusive patterns, whether it is
facial expressions or texture, in the picture and matches it with its database.
Additionally, It has the potential to detect shapes and colors present in the picture
and provides the users with proper insight into the contents of the picture.