Final Year Projects For ECE | CSE | EEE

Final Year Projects For ECE | CSE | EEE

Latest final year projects in 2019

Every final year student will come out with innovative projects by selecting various technologies. Selection of topics depends on their respective branches.

For example: ECE final year students will go by Embedded Systems, MATLAB, VLSI and IoT technologies. CSE final year students use Machine learning, IoT, Java and data management projects. Whereas EEE final year students choose MATLAB and Embedded system projects.

Our PROCORP Technologies is best Institute in providing various projects with respect to student domains. To make their skills sharpen by us. We are for you to train projects in simplified format and make understand easily.

In this post we are providing few best topics. So that final year students will take a look on them.

Vehicle Door Locking System Using Raspberry Pi

In biometric-based vehicle security locking systems, biometric authentication plays an important role in ensuring a high level of security. Now a day’s security is very important in order to keep our data confidentially from unknown people.

“The main purpose of this project is to protect the vehicle from someone using a unique ID, fingerprint authentication”.

Inside the door lock system, a fingerprint scanners are placed. They are used to lock and unlock the door instead of the normal door lock. Which provides a high level of protection for car owners.

Another display of this system is designed with the help of the GSM module. Which is used  to send messages to the owner of the mobile phone. The whole system is controlled by a Raspberry Pi 3 Processor.

There is a chance to make unlock vehicle by another person. To prevent fraud, the government created a fingerprint system. In this hectic world of security gadgets covering basic care to protect our bank accounts, cars. Most of IDs and passwords are secure but have a trick to hack them.

In the car, there are different types of locking system designed with a regular and remote locking system. There is a problem in the remote locking system, i.e., anyone can open the door by using remote. Only way to protect our vehicle is to use unique identifiers that provide high protection. This is the highest protection using fingerprints authentication.

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Load Management System For Smart Grids Using IoT

The IoT has been widely deployed in the smart grid systems. IoT servers are responsible for data acquisition and maintaining bulk amount of data with monitoring status. Achieving data security and system efficiency in data acquisition with transmission process. This is a great challenging task because data related to the power grid is sensitive and in bulk amount.

“The main aim of this project is to measure the electrical parameters like voltage and current. These values are send to the web server”.

The voltage and current transformers are used for this purpose to measure the voltage and the current. But, these are the analog parameters. NodeMCU microcontroller will have ADC pins.

So when we connect this ADC pins with voltage and current sensor coils. The electrical parameters are displayed on the LCD screen. These parameters are sent to IoT server by using the Wi-Fi.

We should provide the internet connection to the in-built Wi-Fi module. The coding will be written in the Python scripting language. Students who are looking to have final year projects for EEE, this is one of the suitable concept for them.

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Avoiding Vehicle Collision System Using Raspberry Pi

Avoiding vehicle collision and detection systems is the most important factor in the automotive industry. Currently, most of vehicles have many features to protect passengers in it. In this project, a high level navigation system detects objects and alert to travel safely along the path.

This project helps to detect the obstacle and make alarm for safety concern. The camera is used for the purpose of detecting the objects. The ultrasonic sensor are used to calculate the distance in real time.

“The main purpose is to identification the obstacles in front of our vehicle. When the obstacle is detected alarm is ON.  So this system help to avoid accidents”.

In this project, the distance between the vehicles are measured by the ultrasonic sensor. The detection of objects carried by the camera.

Car manufacturers enough to encourage the growth of technology built in it. The smart car used today to ensure safety. Automobiles can avoid human errors. Detection system was designed to avoid accidents.

The latest technologies such as ultrasonic sensor and Raspberry Pi are used in the system to detect obstacle. In order to avoid collisions of a vehicle, sensors measure real distance from the obstacles.

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IoT based Environment monitoring system Using NodeMCU

The safety of workers in  industries, is one of the most important aspects that should be considered by the Industry.  In an industry, working conditions are bad . Here employees have to be very cautious about their work, it is common for incidents to happen.

As a solution to this, we have proposed a control system that will be installed in the Industry. This system is able to track the parameters of the work environment in these industries. We are fully aware of the security situation and the possibility of any accidents. For the development of this project, we use the NodeMCU microcontroller.

NodeMCU is connected with temperature, humidity, an ultrasonic and a smoke sensor. These sensors frequently monitor the environment in the industries and upload the data onto the IoT Server. There are plenty of diseases caused to workers who are working in factories with harmful environments.

“This project implements the NodeMCU based on ESP8266 and monitors the various parameters for signs of probable accidents in the industry”.

All this data for further evaluation and processing to reach smart decisions. This data is stored in IoT server. It is easy to understand the pattern using the Dashboard Controller interface is implemented using the MQTT protocol. This is one of the best concept to the students who are willing to do final year projects for ECE based on IoT concept.

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