Final Year IEEE Embedded Projects in Chennai

Intellimindz offers Embedded Projects for final year students like IOT Projects, Embedded Raspberry PI Projects, IEEE Embedded Automotive Projects, Biomedical Mini Embedded Projects, IEEE Biometric Projects, Embedded Security based Projects for final year students, IEEE Embedded based GSM/GPS/GPRS mini Projects, Wireless (Bluetooth / Zigbee), IEEE CAN / FlexRay Projects. Our every project differs from other Embedded Projects and is based on the papers published by IEEE, which tries to solve modern-day or real-world problems. Each Embedded project is designed to give a clear understanding of its concept and make the world a better place by executing it. We have excellent teachers who will guide you in each step of the process in developing your project and by guiding you in your project and making it successful. For more information about Final Year IEEE Embedded projects in Chennai contact 9655877677 for more details.

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Final Year IEEE Embedded Projects

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Why Choose IEEE Embedded Projects?

We think, create, and conduct research and development on the latest technologies, prepare foundation works.

We develop the projects according to university guidelines. Execute the ideas into action.

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Final Year IEEE Embedded Projects Titles

Abstract :

In this paper, we are proposing a surveillance solution, composed of a Wireless Sensor Network (WSN) to detect and track trespassers. Wireless Sensor Networks uses lightweight UAVs like quadcopters or drones to interact with WSN to improve surveillance capabilities. This can work for various scenarios such as detecting and investigating network failures, maintaining the sensor network, tracking trespassers, transmitting real-time intrusion videos, and responding to hostage situations. For optimizing the tracking mission, a heuristic-based scheduling algorithm is proposed. This can increase the rate of trespassers spotted by the quadcopters and drones. We had developed techniques to localize terrestrial sensors using RFID technology accurately. It can compute the optimal positions for new sensors to drop and relay data between sensors for tracking intruders. This developed VTail prototype for drones and quadcopters is tested for providing valid and accurate parameters in various simulations.
ema flexibility.

Abstract :

Accurate and quantifiable measurement of light is essential in creating many practical day-to-day applications, such as Traffic lighting systems, Gardening, Museum lighting systems, Poultry Industry at emergency exits, etc. So, Light measurement and analysis are essential steps for ensuring safety. Many industries are burdened with a limited number of resources and a shortage of experts in this field; real-time remote sensing presents an effective solution that in turn minimizes their efforts and expenditures to achieve desired results within time. This introduces a real-time remote Light intensity monitoring system with Raspberry Pi for tracking light systems remotely. Raspberry pi is a low-cost ARM-powered Linux-based computer that can act as a server, and it can communicate with clients Via a LAN network or external Wi-Fi modules. The key feature of this system is the light intensity being monitored instantly and its data stored in the database for future use and shown in the form. Which empowers experts to make the right decisions to get desired results.

Abstract :

In recent years technological advancements are developed in rapid paces and it has enabled significant evolution and deployment of Wireless Sensor Networks (WSN). These networks are an essential player in the Internet of Things, generating a vast and increasing amount of varied data. There are only a few documented works to tackle these challenges for collecting, manipulating, and exploiting the data generated. This paper has a proposal for integrating BigData tools to gather, store, and analyze data generated by a WSN that monitors air pollution levels in a city. We can provide a proof of concept that combines Storm and Hadoop for data processing, storage, and analysis, and usage of Arduino-based kits for constructing sensor prototypes. There is a significant evolution in the deployment of Wireless Sensor Networks (WSN). These networks are an essential player in the Internet of Things, generating a vast and increasing amount of varied data. There are only a few documented works to tackle these challenges for collecting, manipulating, and exploiting the data generated. This paper has a proposal for integrating BigData tools to gather, store, and analyze data generated by a WSN that monitors air pollution levels in a city. We can provide a proof of concept that combines Storm and Hadoop for data processing, storage, and analysis, and usage of Arduino-based kits for constructing sensor prototypes.

Abstract :

Automobiles and computing technologies are creating a new level for the data services to vehicles. The Automobile Black Box has functions that are similar to an airplane Blackbox. The black box is used to analyze the cause of vehicular accidents. It can prevent life and property losses arising because of vehicle accidents. This paper introduces a prototype for an Automobile Black Box System for vehicles. This Black box system aims to achieve accident analysis by tracking what event had occurred in the vehicle at the time of the incident. The Black box system can also enhance security by preventing and tampering with the Black Box data. The Black Box can send alert messages to pre-recorded mobile numbers via Short Message Service (SMS) if an accident occurs. The proposed system uses 12 sensors to record the various driving data parameters. The Raspberry Pi (RPi) and Arduino controllers are used for regulating these sensors. The data received from the sensors can be stored on an SD card and mounted on RPi for retrieving after an accident occurs. This Black Box system uses external sensors like a camera and GPS for collecting video and location data.

Abstract :

With the breakthroughs in semiconductor and wireless technology, the size of RFID devices reduced. Thus RFID devices could be redesigned as various forms or behaviors to adapt. The more added values provided better RFID characteristics, the RFID applications will compete with the bar-code system in the future. In this paper, the RFID system has applied in-vehicle information communication safety using wireless communications to provide passenger information and services. In this paper, vehicular safety with a mobile RFID system is introduced, which consists of five functions. They are the small tags that are embedded around the vehicle, scanners, Geographic Information systems, mobile devices, and Electronic Product Code middleware. The middleware function is to drive the reader and connect the server. This program for system development has ensured passenger safety and vehicle safety in real-time.

IEEE Embedded Projects in Chennai

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Final Year IEEE Embedded Projects Complete Certification in Chennai

Final Year IEEE Embedded Projects Certification in Chennai

Increase the value of your virtual or onsite events by offering Final Year IEEE Embedded Projects Certificates. If your curriculum from IntelliMindz qualifies for the Final Year IEEE Embedded Projects in Chennai, you can purchase certificates individually for each participant or take advantage of our wholesale price. IEEE is an approved provider of Professional Development Hours and Continuing Education Units for technological professionals looking for professional development opportunities.

The Final Year IEEE Embedded Projects in Chennai at IntelliMindz are presented by experienced professionals with over 8+ years of experience on the Embedded platform. Our trainers will enhance your knowledge with industry-related real-time projects. The course gives you a certificate proving that you have knowledge and skills when it reaches IEEE Embedded Projects.

Our company has state-of-the-art research and development facilities to support progress and next-generation technology. The IEEE Certifications Program allows training providers to issue certificates for learning events in areas of IEEE interest.

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Final Year IEEE Embedded Projects FAQ

Final year IEEE Embedded projects have been done by IntelliMindz with expert developers. The developer has 10+ years of experience in IEEE Final year Embedded projects in Chennai.

In IntelliMindz, We offer different unique IEEE final year Embedded projects at a lower cost.

Based on IEEE papers we develop IEEE Embedded projects and meet all the IEEE requirements on Embedded final year projects in Chennai.

By choosing domain wise and application, We can develop and select a project as per IEEE final year Embedded project.

Final year projects are mandatory for those who are all pursuing final year in colleges and universities. Especially science graduates and engineering such as Bsc, Msc, BE, ME in CS and IT. The final year project will always show your uniqueness and knowledge.

Embedded is a trending technology for those who are all studying IT, ECE, and CS background.

Final Year IEEE Java Projects Features

Live Instructor-Led Training

You will be taught by an experienced trainer who has trained more than 1500 students

Course Assignments

Assignments will be given to you at end of every session. This will help you to better understand the topics.

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IEEE Embedded Projects in Chennai.

Certification and Job Assistance

You will be awarded IEEE Embedded Projects Completion Certification after the successful completion of our

IEEE Embedded Projects in Chennai.

Final Year IEEE Embedded Projects in Chennai Trainer Profile

All mentors at IntelliMindz have years of important industry experience, and they have been effectively functioning as advisors in a similar space, which has made them topic specialists.

  • Training will be provided right from the basics to advanced concepts on Final Year IEEE Embedded Projects
  • Our trainers are real-time experienced professionals with more than 8 years of live industrial experience
  • Successfully Trained and placed more than 500 students
  • Will provide guidance on resume preparation and projects
  • They will  provide separate sessions will be given on Project overview and real-time scenarios
  • Individual attention will be given to every participant and the separate session will be given on topics required to them if required
  • Mock interviews will be taken at the end of the training session and FAQ will be provided on relevant Technology
 
 

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Additional Information for Final Year IEEE Embedded Projects in Chennai

Final Year IEEE Embedded Projects:

Mobile phone controlled four-legged walking robot which can walk in any direction

In recent years the use of practical mobile robots has been successfully developed in controlled environments such as hospitals, outdoors, factories, offices, on prepared surfaces, such that they can work in terrain with minor abnormalities. The most common type has a rigid body, is driven on wheels or tracks. However, the operation of mobile robots in rough, uneven terrain has been impossible or unreliable at best. So instead of a wheeled robot, we looked at the animal world for inspiration and developed a walking robot that imitates the body structure and method of motion in mammals, arthropods, and other human beings. However, mobility on very rough terrain such as gradients, side slopes, step climbing, crossing the gaps, and remains elusive. Most legged robots have the concept of a single rigid body with articulated legs. Such a robot is attractive for any kind of application in the traversal of terrain that wheeled and tracked robots can’t traverse and is expensive, difficult to travel, or even dangerous for humans. This project describes a design for a four-legged robot that uses legs for its movement. This robot can receive a few sets of commands with DTMF tones and perform the necessary tasks. This robot can be controlled with mobile and walk in any direction with its legs. The robot can also sense the movement of living beings with the help of a Passive Infrared (PIR) sensor. It can detect gas leakage, and it gives an alarm to alert. So it can be used as a security device and has many applications.

Parking Guidance System with WSN and Ultrasonic Sensor

This study introduces a new approach to parking systems with Wireless Sensor Network (WSN) technology with ultrasonic sensors. The system also can use the shortest path algorithm to calculate the shortest distance for parking with preference to the nearest entrance. The system operates by monitoring the availability of the vehicle berth and making the information collected available for patrons and car-park operators. The information gained from the detection sensor and the calculation from the shortest path algorithm is used to guide a person to a parking berth. The car-park operators use the sensor information to aid overall management and planning for parking. WSN is used since it enables reliable information gathering and measurement by transmitting through the wireless channel without installing new cabling for the network and electricity to reach each sensing device.

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