Top Academic Projects list for B.Tech & M.Tech Students

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EMBEDDED SMART ELECTRONIC VOTING MACHINE

ABSTRACT:

The Project Embedded Voting System using Raspberry Pi 3 board is an interesting project which uses Raspberry Pi 3 as its brain. The project is designed for four contestants. Voters can poll their vote to any one of the contestant.

In this project, we are using the smart card reader to read the cards assigned to the voters before voting, which contains all his details. Besides that the fingerprints of all the voters are also enrolled. The voters mobile numbers are also collected.  The fingerprint module was connected to one of the four USB ports of the Raspberry Pi 3 using the USB to TTL converter. The smart card reader and the GSM modem are connected to the Raspberry Pi 3 UART port via Relay.

When the person going to cast his vote, he should read his unique card and test his enrolled fingerprint by using the smart card reader and the finger print module respectively, if both are matches then he should allow casting the vote. After cast his vote by pressing the switch corresponding party, he could get the instant SMS to his enrolled mobile number. And also the USB web camera provided in the polling booth will trigger and take the snap shot of the person voting and send that to the FTP web server via Wi-Fi module. For the Wi-Fi module, we should provide the internet connection via Wi-Fi router or by using the mobile hot spot.

If the voter try to vote his vote by using the unauthorized card or by using the fake fingerprint, then he was not allowed to cast his vote and the USB web camera take the snap of that person and also sent to the FTP file server.

The election commission persons only have the confidential credentials to open the FTP server and they can open it and check the photos and can downloads if they want.

Android phone controlled Voice , Gesture and Touch screen operated Smart Wheelchair

ABSTRACT:

The project aims at designing a wheel chair for physically disabled people using MEMS and Bluetooth. The system contains control systems, manipulators, power supplies and software all working together to perform a task.

This physically challenging wheel chair is a machine that allows the physically disabled person to change the direction of the vehicle according to his requirement without any other person’s need. The project uses Embedded Systems to design this application. The direction of the vehicle can be changed with the hand gesture sensor provided with the system. The system accepts the input as the user’s gesture. At the same time we can also control the wheel chair by using the Bluetooth app from your android mobile.

As the user gives the input to the controlling unit through gesture or from the android mobile Bluetooth application, the Raspberry Pi 3 microprocessor reads the input and make the wheel chair move in that particular direction specified by the user.

This project is a device that collects data from the MEMS sensor or from the Android app, codes the data into a format that can be understood by the controlling section. This system also collects information from the master and implements the commands specified by the master. Besides the above sensors, we also incorporate the touch screen and the voice playback module to the wheel chair. In case of any emergency, if the person touches the touch screen in specific place, then the corresponding voice message will played by the voice playback module via speaker. By this way, the disabled person can easily convey his needs to the care taking person. We are also using the ultrasonic sensor also to sense the obstacle in the direction of the wheel chair and stops the wheel chair automatically.

A Real-Time Embedded System for Monitoring of Cargo Vehicles Using Controller Area Network (CAN)

ABSTRACT:

This project presents the creation of a CAN network for monitoring parameters route of cargo vehicles. By decree of law, all cargo vehicles must contain tachograph device that collects and records all information practiced during the trip, such as speed, distance, RPM (rotations per minute), among other parameters.

In this project, we are measuring the speed of the vehicle and distance it was travelled. For this purpose we are using the hall sensor. The speed as well as the distance the vehicle covered was displayed on the LCD screen. All these details are send to the dashboard side by using the CAN protocol. Controller Area Network or CAN protocol is a method of communication between various electronic devices like engine management systems, active suspension, ABS, gear control, lighting control, air conditioning, airbags, central locking etc embedded in an automobile.

Besides these, we are using the alcohol sensor as well as ultrasonic sensor. The alcohol sensor is used to detect the consumption of the alcohol by the driver and stops the vehicle to prevent accidents due to alcohol consumption. And also send the alert message to the particular mobile number along with the GPS location values. The ultrasonic sensor is used to measure the distance from the leading vehicle and control the speed of the vehicle accordingly to avoid the collision. The sensor data was also transmitted to the dashboard side via CAN protocol. We are also incorporating the IoT also in our project by including the Wi-Fi module to the ARM cortex controller. All the parameters of the vehicles are sent to the web server by using the Wi-Fi module.

HEALTH MONITORING AND ALERTING SYSTEM USING

GSM AND IOT TECHNOLOGY

ABSTRACT:

The project intends to interface the Raspberry Pi 3 with the sensors and sends the information of health conditions of the patient to the doctor and to the web server as well. The project uses the Embedded Systems to design this application. The main objective of this project is to design a system that continuously monitors the health parameters of the patient and if any one of the values is likely to exceed the normal values, the system immediately sends the status to the doctor’s mobile.

This project is a device that collects data from the sensors, codes the data into a format that can be understood by the controlling section. The Raspberry Pi board will collect the sensors digital data from the ADC output. The ADC is used to convert the sensors’ analog date into equivalent digital values.

            This project describes, to monitor the ECG values, Body temperature, blood pressure are measured and given to Raspberry Pi 2 board. For every sensor output, we set a threshold value. If any of these sensor values cross that threshold limit, then the buzzer will blow and the alert message will send to the doctor and to the relatives using the GSM module. Besides that for every specific time period, those parameters are sent to the thingspeak web server.  Wi-Fimodule is used to send the sensors data to the user webpage. Up-to-date information was shown on webpage so that from worldwide we can monitor the patient parameters.

Wireless Remote Monitoring System using Raspberry Pi and IOT Technology

ABSTRACT:

In order to upgrade the conventional remote monitoring service, the embedded system design and implementation method for the wireless remote monitoring service, which provides a wireless image observation, is proposed in this paper. The first method is based on the embedded system design technique for a nearly real-time wireless image observation application service. The main idea of this work is the wireless image observation where the camera image of the remote real situation is obtained instead of the conventional limited survey of sensing information. This concept is very much useful in security applications. When anyone wants to observe the situation in the remote area of the building for security reason or something, they will use USB camera and to identify any person entering into the confidential zone, use PIR sensor. The PIR sensor senses the human movement and sends the logic signal to the controller. Then the controller triggers the USB camera to click the photo. Then the photo was stored in the internal SD card of the system. Here in this paper, we are incorporating the IoT concept in this paper that the taken snapshot images were sent to the predefined web server using the Wi-Fi module and also sent an alert E-mail to the user regarding this. To do this paper we are using the Raspberry Pi 3 board as a core, which is the advanced version of Pi 2 board. The Pi 3 board has more internal memory, speed and internal peripherals than the Pi 2 board. This Pi 3 board has in-built Wi-Fi module.

B.Tech 2016 VLSI  PROJECTS LIST

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BTECH 2016 ECE VLSI PROJECT LIST