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iit kgp students develop smart solutions for smarter india - smart board sizes

iit kgp students develop smart solutions for smarter india  -  smart board sizes

Kolkata: Students from IIT Kharagpur have designed unique solutions, from thermal power plants to nuclear radiation tracking to detection of counterfeit currency.
Indian notes (FCIN)
It has been plaguing the country for decades, not only causing economic losses to the country, but also becoming a source of funding for various illegal activities and even causing damage to national security.
The country witnessed major initiatives such as non-monetization in 2016.
The government has also been pushing digital financial transactions to minimize the flow of FCIN.
Banking and retail traders at senior management
Various measures have been taken to detect FCIN in large cash transactions.
But how does the end consumer detect such notes?
Despite the guidelines set by the Reserve Bank of India, an untrained eye is easily shaken.
A group of six students
IIT Kharagpur has developed the code for the smartphone app to solve this problem. T. Y. S. S.
Santosh, Satish Kumar Reddy, VIP ul Tomar, Sai Krishna, Drishti Tulsi and d v Sai Surya have developed an image processing that can detect counterfeit coins
Apps that can be installed on smartphones can be used by people at different touch points, thus reducing the chances of fraud.
Explanation mechanism, T. Y. S. S.
Santosh, head of the organization, said, "users can upload images of currency bills and the mobile app will verify its authenticity using 25 features extracted from the front and back of the currency bills.
In the case of detection of false bars, the fault checkpoint will also be notified to the user.
In another innovation, the students discussed the occupational hazards of people working in the nuclear field. powered device.
Taking into account the data of spatial doses, students were asked to develop a solution to visualize and locate 3D light sources and their dimensions, shapes and directions. The 6-
The member student team of IIT Kharagpur, including Lakshay Bansal, Ch V. SaiPraveen, Aditi Kambli, Rajshekhar Singhania, ay, proposed a solution based on the borzman transport equation, handle heat flow from the hotter area to the cooler area fluid.
The students solved the inverse boertzman transport equation using a data set for a given area to estimate the source location.
"The solution is ideal for professional workers carrying wearable sensors to detect radiation dose data.
These sensors can accurately locate the radiation leakage positions of nuclear power plants and refineries.
The solution can also find applications in medical radiation therapy or radiation therapy as part of cancer treatment to control or kill malignant cancer cells, "said team leader Lakshay Bansal.
Another team at the institute developed a virtual reality
Provide basic applications for worker training and skill development through interactive drill-based training.
The solution is an interactive virtual reality environment.
Factory equipped with simulation and guide to help the operation, maintenance and performance of complex programs in an efficient and wrong wayfree manner.
"Our solution provides an economical, intuitive and modified version of staff training through a layered learning approach.
It provides a complete set of interactive drills, as well as quality assessment indicators that supervisors can use to assign different jobs to workers, said rohit Jain, he led by Suresh Gandhi, Sumei ach, Ishan Bangia, Sunil Patidar from IIT Kharagpur,
The students presented these solutions and won some of the highest awards in the recently concluded national competition sih209.
IIT Kharagpur also hosted the software version of The SIH 2019 finale.
Winners have developed code for smart education solutions.
The CodeLagom team has developed a wearable Android IoT device to promote education for different groups of people
Disabled persons with impaired vision and hearing.
Books in PDF can be uploaded to the device's web platform and then stream in voice and visual mode on wearable devices.
The LeetCoders team wrote code for LAN-
A smart board is enabled for the classroom, which can detect the handwriting of Hindi and English and broadcast the content to the connecting board of other classrooms.
It can also solve arithmetic equations and save notes in PDF.
The third team, crawling spiders, developed an intelligent attendance system through facial recognition by randomly clicking on images in a classroom or office environment.

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