INNOVATION

The Department of Computer Science & Engineering always encouraged the students to take up the live projects in the area of individual interest and connects students to the industries through collaborations and supports them. A few teams\batches of students fromevery batch participate in industry-sponsored live projects under the able guidance of the faculty members and Industry experts as external guides. Such application based projects have fetched them international recognition through compitions or through placements.

An annual students Project Exhibition is a key event of CSE Department, to inculcate the idea of innovation in various emerging technologies such as Robotics, Internet of Things (IoT), Big data, Cloud computing, Mobile apps, Drones and Wireless Sensor Networks. Every year 60+ live projects which results in Paper Publications and Patents.

Highlights of Innovation in Project Works

1. DRONES - UAV - UNMANNED AERIAL VEHICLES

Prasanna M.G., 4th semester student of CS & E has undertaken project on Drones - UAV - Unmanned Aerial Vehicles under the guidance of Dr. M. N. Thippeswamy, CS & E HoD, NMIT, and Devesh Kiran Hegde (CEO-Flycamp, CSE Alumni). Prasanna M.G., 4th semester student of CS & E has undertaken project on Drones - UAV - Unmanned Aerial Vehicles under the guidance of Dr. M. N. Thippeswamy, CS & E HoD, NMIT, and Devesh Kiran Hegde (CEO-Flycamp, CSE Alumni).

60+

Projects are implemented every year by students. This includes research projects from Indusrtries such as UNISYS, IBM, Pinaacle, Sakha Global, etc.

Innovation Outcome:

Patents and Publication

Innovative Projects

are showcased in Hackathons, Project Exhibition, and Institute Innovation Cell

1.1 FREESTYLE RACING DRONES:

A freestyle racing drone that attains speeds of up to 120 kmph, are used for medical aid especially during emergency organ transportation. The drone is used with the First Person View method of piloting for complete control. It is also usable to take cinematic shots with different angles and flexibility that even the expensive drones over Rs 2 lakhs, fail to provide. Since this drone is fast, it can be used to film rallies and Motorcross.

FreeStyle Racing Drones

1.2 GPS ENABLED AUTOMATED UAV

It is a TBS discovery capable of navigating to the GPS coordinates fed into it. The prototype managed to attain GPS precision nearing to 5 cms under complete satellite connections along with an endurance of up to 15 mins.

GPS enabled automated UAV

1.3 DROVEROT

The device is a combination of a Drone and a Rover to deploy bombs and to behave as a security unit. Built as a proof of concept for the Indian army awarded 1st place at the NMIT Hacks 2020(Team members: Prasanna, Anurag, Daarun, 4th Semester, CSE).

Droverot

1.4 ANTI-DROWNING KIT WITH LOCATION TRACKER

Safety of Human life in water

When a person is lost in the sea, trackers tend to follow a time-consuming procedure to save the victim’s life. To overcome the time delay of searching operation, the prototype developed helps to detect/sense the victim’s heart rate, the depth of water indicating the victim’s location, and surrounding water pressure. When the recorded value falls below the threshold value, an auto-deploy the airbag is riggered and the concept is useful when the victim is unconscious. An option for manual deployment of the airbag shall also be provided. Once deployed, the kit implements LoRa technology to transmit the victim’s data wirelessly to long distances. Upon receiving the signals, the rescue teams can initiate the rescue operation. The final analysis demonstrates that this kit will be very useful in ensuring one’s safety at the sea.

Faculty: Guide- Dr. Thippeswamy M. N., HoD & Mr. Chethan D. Chavan, Assistant Professor
Students: Bhavya V., Dheemanth M. D., Shashikant Saini, Sanjiv M. C.5th Semester.
Research Status: Under the design phase., utcomes: Patent filed and published.

1.5 AVADHATRA - A SMART MONITORING SHOE

"Avadhatra" is a Revolutionary Shoe in which a shoe is well-equipped with an accelerometer, gyroscope, pulse rate sensor, and blood pressure sensor to update the user of their health status on a Native app where the data is transferred via Bluetooth. In this hectic everyday life, it is hard to keep track of our fitness status. The data is then stored on a cloud server from where the user can access the data anytime anywhere. The data stored is used to constantly to create a better user experience through the use of Machine Learning. The product just gets better with time.

A person’s security is a necessity for his/her family and friends and one of the best ways to protect yourself without harming anyone comes with this shoe. The superlative security system is built-in the shoe as hard work and smart work go simultaneously, our fast-paced lives demand more from the technocrats.

Research Status: Under the design phase.
Outcomes: The design is presented as an innovation project at Amrutha Engineering College, Bangalore, 2018.
Faculty: Dr. Thippeswamy M.N. HoD & Mr. Chethan Chavan, Assistant Professor
Students: Akanksha Makam, Avinash Rath, Dolly Upmandewan, 5th semester

1.6 EASYTOLL - Seamless Payments at Toll Gates

Easy Toll is a Blockchain-based Geofencing-Bluetooth-BLE-Beacon smart toll collection and remittance, crowd management, and decongestion application that allows blazing-fast automated online/offline payment in toll booths that could significantly reduce the congestion and queue caused by time-consuming applications that we are using currently. The current system relies on NFC that has problems such as NFC reader not recognizing the person, the requirement of an extra NFC device, it has to be recharged and toll gate provider has to maintain the system.

On reaching a 100 m vicinity of the toll booth, the user is recognized using geofencing. After the user does the OTP based payment, that amount (prepaid wallet) is deducted and the remaining balance alert is popped. BLE recognizes devices and pairs them instantaneously such that an auto command opens the gate once the toll fare is paid. The option of offline payments with the help of Blockchain is also made available.

Research Status: The work is in the implementation stage.
Outcomes: The design work is presented in IEEE Make-A-Thon.
Faculty: Dr. Thippeswamy M.N. Professor and HoD
Students: Akanksha Makam, Avinash Rath,Dolly Upmandewan, Sarang Parikh(7th IS&E)

1.7 BLOCKIFIED

Blockified is an application built for making the process of interviewing and finding the right candidates by the companies. The application uses a hyper ledger fabric platform as its base. Students can upload digital certificates and authorities like schools, colleges and institutions can sign them digitally. The companies can use filters based on the necessary skills, experiences, and skill levels to find and sort the right candidates.

Research Status: Under productization
Outcomes: The work is presented at JUIncubator, Jain University
Faculty: Dr. Thippeswamy M.N. Professor and HoD
Students: Shrey Ambesh, K.P. Gaurav, Pakki Anoop

1.8 MEDICO

Medico is a medical application aimed at providing 2nd opinion to the patients while providing the doctor with the necessary information of the patients using the patient's records. A chatbot exists on platforms like Telegram and Facebook messenger to make it easy for the patient to include his symptoms and the bot can suggest the required medications for common diseases.

Research Status: Prototype is built
Outcomes: The prototype was demonstrated in NMIT Hacks, 2019
Faculty: Dr. Thippeswamy M.N. Professor and HoD
Students: Shrey Ambesh, K.P. Gaurav, Pakki Anoop and Sarang Parikh of 7th IS&E

1.9 Bite-Sized Learning

Every Company requires employees to have different skill sets as they change projects. This involves the employees being adaptive in languages. Bite-sized learning helps the employees to learn the necessary skill sets using quizzes of small durations at regular intervals of time; the application automatically fetches articles from different sources based on the employee's skills.

Research Status: Under productization
Outcomes: The work is presented at JSS, Bangalore.
Faculty: Dr. Thippeswamy M.N. Professor and HoD
Students: Shrey Ambesh, K.P. Gaurav, Pakki Anoop

1.10. IOT BASED TRAFFIC DENSITY SYSTEM

Faculty: Mrs. Jagadevi N. Kalshetty Asst. Professor, Students: Nihar Shetty, Prajwal S, Pramod SS

Different smart traffic management techniques are implemented to change the traditional preset waiting time at the signal which causes most of the congestion on the road. The proposed framework plans to calculate the amount of traffic by utilizing IR sensors to determine the degree of traffic on the road. When the IR sensor detects high density a shorter waiting time is given to the particular lane to reduce density. This method uses real-time data and changes accordingly to the traffic and doesn't refer to any stored data. These levels are delegated low, medium, and high. It also can control signals through an app in case of emergencies.

Research Status: Under the design phase
Outcomes: Paper submitted to ERCICA.
Image of the Project

IOT Based Traffic Density System

1.11. ARTIFICIAL EYE

Designing an Artificial eye which will work as same as human eye to find, identify, calculate the distance between multiple objects, to declare the friendly and non-friendly objects or living being by using Deep Learning, Machine Learning(ML) and Artificial Intelligence(AI). Using Deep Learning it finds the objects and living beings and identifies the type of object and type of living being. Using ML it the distance between multiple object's image frame and will distinguish the movement like coming towards or outwards. Using the output of Deep Learning and ML the AI will categorize the objects and living beings between a friendly and Non-friendly category.

Faculty: Mr. Chethan D Chavan, Asst. Professor Application: An artificial eye can be used for partially visually impaired persons, for a humanoid robot.This can be used in surveillance technology, in Home/office security CCT, in Home/office automation technology etc.
Present Status of this project: Detection and identification of Human being, Declare Human beings gender and predicting the age and Currently working on identifying various types of objects in the image frame

Snapshots of the Project

1.12 Anaadyanta-2019 Coordinators and Campaigners Application

Anaadyanta2019 – A Techno-Cultural FEST, a Flagship event of our college. The registration process is automated for the year 2020 which was completed under the guidance of Dr. Thippeswamy M. N.HoD, CSE, and student conveners.

This Techno-Cultural FEST is seeing the increasing number of participants and the sponsors over the years. The footprint is been increasing year after the year. To support the registration, events brochure, highlights of the previous year's events, rules, and regulations of the events, and to provide guidance to new participants, an app has been developed. This app has automated all the major paper works carried out by the core team members for the events.

Key Points:

Screenshots of the Application:

Coordinators and Campaigners Application

1.13 Youth Icon App for Udaya TV

The app was built for Udaya TV for the Youth Icon program the Channel hosts. The Youth Icon app for the year 2019 was built using the flutter framework. The app includes Social Media and a Live Voting System. The Project was assigned by Mr. D. M. KUMAR SWAMY Founder & Managing director Udaya TV.

The project was done under the guidance of Dr. Thippeswamy M N, HoD CSE Dept. by Akshay Satish, Shrey Ambesh, Sushruth PK, Vilas M, Bivav Raj Satyal, Pakki Anoop, Gaurav KP.

Features:

The app’s Live voting system allows for the general public to cast votes to the eligible candidate reducing the chance of physical tampering.

Social media includes posting text, image, or both in one post. The platform also supports likes and comments. The users can change their profile pictures and biodata. The app also allows the general public to add candidates who they think are eligible for the voting procedure.

Youth icon App
Youth icon App

Details of Patents:

a) NAVIGATION ASSISTANCE AND COLLISION AVOIDANCE FOR THE VISUALLY-IMPAIRED

b) SMART SHOPPING CART SYSTEMS USING ANDROID THINGS.

c) ANTI-DROWNING KIT WITH LOCATION TRACKER

d) LARGE SCALE CHEMICAL BASED SMART AIR PURIFIER USING IOT

e) A MIDDLEWARE IMPLEMENTATION OF INTERCONNECTING MEDICAL DEVICES USING HL-7

f) THEFTED VEHICLE IDENTIFICATION SYSTEM

g) SMART PARKING SYSTEM WITH FEE MANAGEMENT USING INTERNET OF THINGS

h) FIRE SURVEILLANCE DRONE

i) SMART VOTING SYSTEM USING INTERNET OF THINGS (IoT)

j) PATIENT CRITICAL PARAMETER MONITORING AND ALERTING USING INTERNET OF THINGS (IoT)

k) SYSTEM FOR HEAD MOUNTED DEVICE BASED MULTIPLE CHOICE TEST CONDUCTION FOR CANDIDATES SITTING IN CLOSE PROXIMITY

l) TEACHING AID FOR TEACHING STACK CONCEPTS

m) TAMPER PROOF CORRECTABLE WITHOUT ERASURE OMR MARKING FOR MCQS