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  Digital Catalogue for Technology and Products Development

   Technology and Product Development

    Basic Information

Technology developed: A Human-hand Detection System and Apparatus (TP19764239865)
Category: Product(Hardware/Material/Software)
Details of Inventor(s):
Inventor Institution/Organization/Company Department Designation
Dr. K. S. Venkatesh IIT Kanpur Electrical Engineering Faculty Member
Ms. Garima Jain IIT Kanpur Electrical Engineering Student
Mr. Vinod K Kurmi IIT Kanpur Electrical Engineering Student
Technical Application Area: Artificial Intelligence & Machine Learning
If 'Other', please specify:
Please give more details of new technical application area:
Indian Institute of Technology (IIT) Kanpur
Affiliated Ministry: Ministry of Education
Type of technology development: Indigenous
Does the technology help in replacing any import items currently
procured from outside India?
Does the technology have export potential? 1
Category of Technology developed: Futuristic
Stage of Development: Prototype Level
Please describe in detail including the TRL Level:
TRL Level 4


Applications: 1. The present invention detects hand position and orientation in varying light conditions, irrespective of neighbouring clutter. The hand is segmented out with the assistance of depth histogram. Further, the tips of the hand are used to form a constellation of points, which is almost specific to hand and cannot be easily encountered in other objects. This constellation provides with the position of hand and fingertips. 2. The hand is recognized in real time irrespective of visible illumination levels, background motion, foreground clutter, gesturing speeds and user distance. The last is of course limited by the sensors own range limitations. The method of depth slicing, and unique fingertip constellation used to extract hand features from the background is also disclosed. The present invention enables easy and highly reliable and fast (30 fps) detection.
Advantages: 1. The present invention works without any intricate modelling of the hand or the use of heavy machine learning techniques, enabling the system to work straight away without any sort of user dependent training whatsoever. 2. The present invention is capable of working in range from 0.6 m to 2.5 m. The working range of the present invention may be improved when sensors that operate over a wider range are available. 3. The present invention provides segmenting the hand, based on the constellation of fingertip points in space, while ensuring that all five fingertips of the hand are visible to the sensor. 4. The present invention is robust and accurate irrespective of neighbouring clutter and varying lighting conditions. 5. The present invention is completely independent of the user body pose. 6. The present invention provides a mechanism being dependent on a 3D sensor, being completely illumination invariant, provided the IR light is not too high (as in direct sunlight). For the same reason, the background clutter does not hamper the working of the present invention.

    Technology Inputs:

Imported Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
Indigenous Equipment/Spare Parts:
Equipment/Spare Parts Year ITC-HS Code
Imported Raw Materials:
Raw Materials Year ITC-HS Code
Indigenous Raw Materials:
Raw Materials Year ITC-HS Code
Existing R&D Facilities used:
Facilities Year ITC-HS Code

    R&D Investment:

R&D investment (Rs. in Lakhs):                    
Indian Source (Rs.) Foreign Source (Rs.) Year
0 0 NA

   Patents & Publications:

Filed Patents (No.) Granted Patents (No.) Year
1 0 2015-16
Submitted (No.) Published (No.) Year
0 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?
Would you be interested in participating in cluster based
programs for commercialization research or business
planning for your invention?
      Submitted by: Tarun Gupta Date of Submission: 5-8-2020

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