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    Basic Information

Technology developed: Anetra - A face identification box (TP19767781533)
Category: Product(Hardware/Material/Software)
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 a query image captured from product camera, the system pulls all face images and does matching of query image with all database images to find best match and displays the identity name of the person. The system uses state of the art machine learning models 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: Field Test
Please describe in detail including the TRL Level:
Developed solution is field tested

    Abstract:

Applications: Touch less Face based Person identification having possible applications in access control, employee attendance system. Live person identification system
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
NVIDIA Jetson Nano, CSI MIPI camera 2020-21 84733010
Indigenous Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
Indigenous designed and developed enclosure 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 NA

    Commercialization Potential:

Who are the Potential Licensees?
What commercially available products address
the same problem?
Company Product Problem Addressed
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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