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   Technology and Product Development

    Basic Information

Technology developed: Face Authentication System (TP19767921933)
Category: Technology Service/Know how
Details of Inventor(s):
Inventor Institution/Organization/Company Department Designation
Tapas Saini Centre for Development of Advanced Computing Embedded Systems and VLSI Joint Director
Priyanka Wawdhane Centre for Development of Advanced Computing Embedded Systems and VLSI Project Engineer
Satendra Gupta Centre for Development of Advanced Computing Embedded Systems and VLSI Project Associate
Anoop Kumar Centre for Development of Advanced Computing Embedded Systems and VLSI Associate Director
Technical Application Area: Artificial Intelligence & Machine Learning
If 'Other', please specify:
Please give more details of new technical application area:
The system does person identification based of face images. Given an Identity X (name) of a person and a query image, the system pulls the image of X from database and does matching with query image. The system uses state of the art machine learning model for face feature extraction and matching.
Organization(s):
Centre for Development of Advanced Computing (CDAC) Hyderabad
Affiliated Ministry: MeitY, Govt. of India
Type of technology development: Indigenous
Does the technology help in replacing any import items currently
procured from outside India?
Yes
Does the technology have export potential? Yes
Category of Technology developed: Immediate Deployment
Stage of Development: Prototype Level
Please describe in detail including the TRL Level:
Developed solution is at prototype level

    Abstract:

Applications: Aadhaar face authentication. Face based Person authentication integrated with other established bio-metrics like fingerprint, iris. Live person identification and authentication using computer webcam. May be useful in online work from home, online exam.
Advantages: This technology improves upon touch based finger print technology. Face identification is touch less biometric identification technology. This technology is indigenously developed using free and open source software technologies. It is built using state of the art machine learning and deep learning algorithms.

    Technology Inputs:

Imported Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
NA
Indigenous Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
Used PARAM Shavak system open source software technologies. Indigenously designe NA
Imported Raw Materials:
Raw Materials Year ITC-HS Code
NA
Indigenous Raw Materials:
Raw Materials Year ITC-HS Code
NA
Existing R&D Facilities used:
Facilities Year ITC-HS Code
Server NA

   Patents & Publications:

Patents:
Filed Patents (No.) Granted Patents (No.) Year
0 0 NA
Publications:
Submitted (No.) Published (No.) Year
1 0 2020-21

    Commercialization Potential:

Who are the Potential Licensees? Acoops a Workspace virtualization company has shown interest in using our technology. Further discussions regarding licensing and cost modalities ongoing. Any other company working in biometric and access control.
What commercially available products address
the same problem?
Company Product Problem Addressed
Neuro Technology
Would you like to develop this invention further with
corporate research support?
Yes
Would you be interested in participating in cluster based
programs for commercialization research or business
planning for your invention?
Yes
      Submitted by: M Kumar Date of Submission: 25-8-2020



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