Face Recognition Software

Intelligent Face Recognition Software - FaceQuest

Face Recognition deals with the identification and verification of a person from a digital image or from a video source. It can determine the unknown identity of human being on the basis of the facial characteristics and features derived from the digital image of that person. It is an artificial intelligence based system which perceive and learn contents of the image like human and perform search based on it.

FaceQuest is an Artificial Intelligence based system which is capable of searching faces in a given set of database with high accuracy. The software has been benchmarked on Labelled Faces in the Wild (LFW) benchmark database, which consists of over 13,000 images of the faces collected from the web. Each face has been labeled with the name of the person pictured among which 1680 of the people pictured have two or more distinct photos in the data set. FaceQuest Software has achieved 98% accuracy on this database.

Face Recognition Technology

Face Recognition deals with the identification and verification of a person from a digital image or from a video source. It can determine the unknown identity of human being on the basis of the facial characteristics and features derived from the digital image of that person.

It is an Artificial Intelligence Based System which perceive and learn contents of the image like human and perform search based on it. Face recognition software has various features like:
  • No physical interaction on behalf of user is required.
  • It is socially acceptable as user have to take picture only.
  • No special hardware required to capture images.
  • Extremely fast and accurate results.
  • Does not require any expert to interpret the results.
  • It’s the only biometric that allows active and passive identification in one to many environments.

Brief Intro on FaceQuest

FaceQuest is an Artificial Intelligence based system which is capable of searching faces in a given set of database with high accuracy. The software has been benchmarked on Labelled Faces in the Wild (LFW) benchmark database, which consists of over 13,000 images of the faces collected from the web. Each face has been labeled with the name of the person pictured among which 1680 of the people pictured have two or more distinct photos in the data set. FaceQuest Software has achieved 98% accuracy on this database.

FaceQuest Capabilities

  • Accurate recognition under different image variations
  • Varying age persons recognition
  • Accurate recognition of persons in different poses
  • Handles different facial variations
  • Recognizes persons with varying colors
  • Handles ethnicity variations
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Applications of Face Recognition

Based on our assessment of the applications in the field today, the a majority of facial recognition use-cases appear to fall into these major categories:
  • Security: Companies are training deep learning algorithms to recognize fraud detection, reduce the need for traditional passwords, and to improve the ability to distinguish between a human face and a photograph.
  • Payments: Online shopping and contactless cards are just two examples that demonstrate the seamlessness of postmodern purchases.
  • Access & Security: As well as verifying a payment, facial biometrics can be integrated with physical devices and objects. Instead of using passcodes, mobile phones and other consumer electronics will be accessed via owners’ facial features.
  • Criminal Identification: If facial recognition can be used to keep unauthorised people out of facilities, surely it can be used to help put them firmly inside them. Law enforcers another way of tracking criminals across the country.
  • Healthcare: Machine learning is being combined with computer vision to more accurately track patient medication consumption and support pain management procedures.
  • Marketing & Advertising: The ability to collect and collate masses of personal data has given marketers and advertisers the chance to get closer than ever to their target markets. 
     
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