SMART WELL MONITORING SYSTEM for Villages let wells be smart now

We have built an IoT-based SMART Well Monitoring System with various sensors and analytics to make the villagers and authorities aware of the quality of water before use. The Well monitoring system will be sensing Turbidity, water level, dissolved oxygen, the temperature of the water, and possibly pH value. The values are displayed over a dashboard on IBM Bluemix cloud and a mobile app is built for villagers/authorities. The system is powered by Solar panels to make it independent of any power needs from the electricity supply. The system is communicating using GSM/GPRS packets. We built this Internet of Things application by integrating various hardware and software. We chose Arduino as our microcontroller (µC) (Thanks to Intel Corporation for providing the same) and GSM module. By interfacing different sensors to µC mentioned below, we constructed a complete data collector unit. -> HC-SR04 Ultrasonic Sensor to measure level of water -> DS18B20 Temperature Probe -> Generic pH Probe -> SEN0189 Turbidity Sensor -> ENV-40-DO Atlas Scientific Dissolved Oxygen Probe.

Prize Details: –

• Won 2^nd Prize $5000 USD & Four ASUS ZenPad 8 64GB tablet
• Best Student Project Award $1000 USD

Intelligent Medicine Dispensary System Remind the patient to take medicine

This System Reminds the patient to take medicine on time and compels him to take it by sending a notification to the caretaker. It reminds the patient to take medicine on time and if the patient does not take medicine on time, then it will send the message to the caretaker. We put the reed switch in the seven gates of the medicine box and paste a small magnet inside the chamber on the sidewall of the chamber. After this we connect LEDs outside the chamber and connect all LEDs to the Decoder circuit by using (74LS138 IC) and all reed switch to the Encoder circuit by using (HD74LS148 IC) and then output/ input of IC’s connected to ARDUINO 101 Digital pins. We connect SD card Module with ARDUINO 101. We establish I2C communication between ARDUINO 101 AND ARDUINO UNO. We connect GSM 800 Module with ARDUINO UNO.

Prize Details: –

• Selected in the top 100 best ideas and received Arduino 101 development kit.

Smart Life Jacket : Smart life jacket, A life saver in distress

In any emergency situation like an air crash or shipwreck, a life jacket plays a very important role in saving one’s life. But the survivors may have to wait very long for rescuing as the rescuers don’t have the precise location of the victim. The victim may die during these hours. Here are smart jacket comes in handy. Using this, the rescue operation can be done very easily and in a short duration. This smart life jacket houses various sensors to track and transmit various parameters. This jacket consists of a pulse sensor that is used to track the Heart rate of the victim in BPM A GPS module is also fitted in the jacket which acquires the GPS coordinates and transmits them A GSM module is provided which transmits the data to the concerned authority through mobile phone over GSM network All these modules are interfaced with an ARDUINO 101 board which fetches the data from sensors, analyze them and sends it.

Prize Details: –

• Selected in the top 100 best ideas and received Arduino 101 development kit.

Smart Drainage Blockage Detecting System : Clean India Healthy India

As there are many blocked and uncleaned open drains in the country which causes non-hygienic situations which lead to various health problems in humans. Due to waterlogged streets, there are many road accidents which lead to harm to men-life. Sometimes drains are not regularly cleaned by drain cleaners and there is no monitoring or reporting of this. This causes blockage and unhygienic drains leading to bad health. Our system checks for blockage by determining the level of water in the drain, it also determines the level of harmful gases (methane gas). If there is any abrupt increasing change in any of the parameters, the system directly connects to the municipality and informs about this along with the location where it has been placed through message. Also, the data collected is pushed to cloud for further analysis of the area to take any action.

Prize Details: –

• Selected in top 100 best ideas and received Arduino 101 development kit.

Designing an automatic system for detecting exudates levels in diabetic retinopathy patients using image processing

Diabetic retinopathy is a disease in which the retinal image is affected due to diabetes. If it is not detected and diagnosed at the primary stage it may lead to permanent blindness . Hence, it is the most common reason of blindness all over the world so such a system is required which can detect such structure at an early stage so that it can be controlled with medicines.To check whether the person is suffering from DR or level of exudates we have employed structural image processing in which irregular structure in retinal image is identified using edge detection techniques through which these exudates will be displayed separately. Exudates can be identified as areas with hard white or yellowish colors and varying sizes, shapes, and locations near the leaking capillaries within the retina. Here we will use MATLAB &SIMULINK for designing the automatic systems.

DSP Processor-Based High-Security Image Authentication System

A real-time image captured has some inherent Additive white Gaussian noise produced in it due to various environmental effects such as fog, rain droplets, sand dunes, etc. This image is blurred due to environmental interference. This interference is removed by the equalizer. Equalizers are basically FIR Filters. FIR Filter is a Linear Time invariant system in which the response of the system is dependent upon the coefficients of the filter. This type of technique uses linear equalizers, but the drawback of this LTI system is that its coefficients are constant for all environmental conditions. What we want is that the value of the coefficients should change according to the atmospheric conditions. The solution to this problem is an adaptive equalizer; in this system, the filters adapt themselves according to the atmospheric conditions. In the following review paper, we are considering three environmental conditions i.e. rain, fog, sand dunes, accordingly the filter will adapt three different sets of coefficients for three different environmental conditions. These three different sets of coefficient are generated with the help of the Least Mean Square (LMS) algorithm. In previous papers, the pixel values of the images with the help of MATLAB have been calculated but in this paper, we are using Discrete Cosine Transformation.. By taking Discrete Cosine Transformation of the image with the help of the Code Composer Studio tool which is compatible with TMS320C6416 we will find out the pixels values. The image is then passed through the adaptive filter to remove the distortion or the noise content through it. Then the image is reconstructed by the Inverse Discrete Cosine Transformation. Now the new image which is reconstructed is free of noise. In the following review paper, we are capturing.

Video processing based automation for saving renewable ENERGY (Electricity)

Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems.

Intruder Detection using DSK 6713 for Border security

Many applications can be envisioned for a system that is able to detect human activity in some areas. Probably the most obvious application is the detection of intruders in a secure region. It is often the case that a system capable of detecting pedestrians is desired. Acoustic and seismic sensors are capable of measuring a pedestrian activity and are often employed for this task for a number of reasons. In the case that the system should alarm only when a pedestrian is present, processing of the acoustic and seismic signals should make it possible for the system to discriminate footsteps from other acoustic and seismic sources such as highways, railroads, operating machinery, and trees and bushes swaying in the wind. So adaptive filters are used to remove such noise and detect intruders. So we have designed a system that involves signal processing using DSK 6713 DSP processor to make the task easier and more error-free for the operator.

Smart Broom

Cleanliness – Everyone’s prior concern, the government has taken initiatives to keep our country clean. Even large no. of sweepers are employed for cleaning purposes but the problem arises when they do not work properly. So, here comes in the role our SMART BROOM which will :

• Inform working Hour of sweeper
• Location of the sweeper
• Monitor Regular Working of Sweeper
• Data analysis of the work done
• Assure the cleanliness of streets
• Keeping an eye on Doodle worker

Environment Friendly and High Quality Bricks (Wricks)

Developing an innovative technology (Patent application submitted) to make low cost, high quality and environmentally sustainable bricks, paver blocks, tiles and panels for low cost housing. The raw materials required in making these products are wastes like waste plastic, crushed demolition waste, fly ash, and marble slurry. No chemical binders or environmentally expensive binding or processing technology is used for achieving strength.

Some of the salient achievements of wricks are:

• Funded under Waste Management Technology by DST Govt of India.
• $ 12500/- Award and incubation support from Schulich Business School and York University of Canada.
• Being incubated at IIM Udaipur.
• 10 lakh funding from MHRD Innovation Cell as a part of Smart India Hackathon.
• 5 Lakh funding from IIT Madras Carbon Zero Challenge.
• 5 Lakh funding from PVR Initiative EcoGrant.
• 15 Lakh funding from Rajasthan Digifest.
• Partnered with Udaipur Municipal Corporation to Operate their Construction and Demolition Waste plant.

Solid Waste Management in Savina Vegetable Market

This study focuses on the problems associated with the management of solid waste in the Savina Vegetable Market, which is the largest market in the proposed Smart City Udaipur. An effective system to treat solid waste in an environmentally friendly approach is required to be designed. The main object of this study was to educate people about Solid Waste Management and the benefits of separation at source and to estimate the number of separated wastes for the design of the processing center for the Savina Vegetable Market. In this project total of 27 students of Civil Engineering, 12 street cleaners, and 1 coordinator participated in educating and executing solid waste management in the Savina Vegetable market.

One sample of 3D rendered view in 3ds Max software

Professional training on 3ds software for the students of batch 2013 -17 and batch 2014-18. The college plan was surveyed by students by the total station and all points were connected in auto cad software and 3d view has been generated in 3 ds max software. Following 3d views have been made by the students after this trainin

Proposed 3 D view on Ayad River

As the part of Smart City Initiative, a competition has been announced to develop 3D model/drawings for Aayad River. This was very good opportunity to develop virtual reality based animated 3D model for Aayad river project. Around 10 students have been participated in this competition and submit their ideas in UIT.

Revitalization of Walled City Udaipur

The traffic congestion in the walled city progressively becomes the major component which would influence the travel or working experience. Revitalization of Walled City will not only promote heritage conservation but also give a strong boost to tourism and consequent economic upliftment of the local population. In the research process, the behavior questionnaire and traffic flow survey as the first quantitative measurements were used for 2 preparation days and 6 working days. The behavior survey was attempted to identify the possible attitude or perspectives of the people in Walled City, Udaipur. The results show that there are more than 50% of the participants express the view of disagree or ambiguous perspectives about the transportation condition nowadays. Moreover, there is nearly 70 percent of the whole local residents it is difficult for them to finding parking in the Walled City. The traffic flow survey tries to generally calculate the potential transport condition at a different time interval on certain days. In the process, the different collection destination was settled and it ensured the accuracy and usefulness of the statistics to some extent.

ATV

The All-terrain Vehicle (ATV) designed by students of Mechanical Engineering, that participated in the recent national level sporting vehicle building event, BAJA SAE (Society of Automotive Engineers) India-2019. The students of III year Mechanical engineering (Batch 2016-20) are tasked with designing, building, testing, racing and promoting a single seater four wheeler off road vehicle. It follows the BAJA SAE International rules and procedures. The objective is to come up with such designs that can withstand the harshest elements of rough terrain with ease.

Multi-purpose Agriculture Vehicle

The students of third year M.E.( Batch 2018-2022) have designed and Fabricated an multipurpose agriculture Vehicle in the most economical ways possible. The vehicle is powered by an 110 cc hero honda pleasure engine. The vehicle is so designed that it can be used as an grass cutter and can also be used as an small roller for making the lawn even. It can so be used for transporting small loads. The design of the vehicle is kept simple, so that it can be used with different attachments and machines with ease.

HVC

A team with students of III Year Mechanical Engineering(Batch 2016-20) took an ambitious and a challenging project to build a formula hybrid car.The team built a parallel hybrid system, which is powered by a petrol engine and an electric motor. The car is powered by a 390cc KTM-Duke-390 engine and a 48V motor powered by a 21.6Ah Lithium Ion battery. The hybrid system is designed in such a way that the driver can choose the mode of propulsion. This system also charges the primary batteries when the car is driven by the petrol engine. The car uses a CVT transmission for the convenience of driving.

Go-Kart

The students have designed and fabricated a Go-Kart Vehicle.

e-Bike

The students have converted the KTM bike into eBike by replacing the engine and transmission system with an electric motor and a battery. The eBike can reach speeds up to 60kmph.