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Corona is here to stay and so is the need for a mask. With that concern in mind, Shri Govindram Seksaria Institute of Technology and Science, Indore, has made possibly the first ‘Mask Identification system’ and installed it through the engineering campus.

Corona is here to stay and so is the need for a mask. With that concern in mind, Shri Govindram Seksaria Institute of Technology and Science, Indore, has made possibly the first ‘Mask Identification system’ and installed it through the engineering campus.
The ‘Face Mask Detection Software Device’ has been jointly developed by professors and students of the technical college.
What is the Face Mask Detection Software Device?
Wearing a mask is an essential way to control the spread of coronavirus, as it cuts off the primary source of the infection. However, due to some discomfort or just aversion towards covering their face, many people remove their mask and move around in public places.
To help in ensuring that everyone wears a mask, this software has been developed. The software is able to detect a face mask.
How does it work?
This software is integrated with the camera. After the camera detects a face, it starts its work as soon as the command is given.
If there is no mask on the face of the people coming in front of the camera, then this software will give a red signal on the computer screen. Also, an alarm rings to alert people around.
In this software, the picture of the person who does not apply the mask is also saved in the computer.
How long did it take to develop?
It took 6 months to develop this software. As a trial, this software has been installed in one wing of the college and it is working well. “The success of this software has raised hope that if everything goes well, better adherence to the Corona guidelines will be ensured in crowded places,” Pooja Gupta and Upendra Singh, assistant professors, said.
Plans of the team
“The input face mask identification system is a video obtained and the final result an identification or detection of the mask of the detected video database. From these issues, mitosis detection is a significant feature in detecting the level of face progression. We conducted experimentation under varying numbers of training and testing percentages for many random trails.”
Dr Rakesh Saxena
Director
SGSITS
Specification of the software
Efficiency: 98 percent
Testing and developing time: 6 month
Software development: 15 days
Cost: Rs 20,000
Basic needs for the set-up: Computer and CCTV

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