EMBEDDEDÂ PROJECTS 2019-2020
DLK Career Development Centre in Chennai is your trusted partner for pursuing Embedded Projects for the academic year 2019-2020. With our years of experience and a dedicated team of experts, we provide comprehensive guidance and support to students looking to excel in the field of embedded systems. Our commitment to excellence ensures that you receive top-notch training and assistance to successfully complete your projects.
Our Chennai-based center is equipped with state-of-the-art facilities and resources, making it the ideal destination for anyone seeking practical knowledge in embedded systems. We offer a wide range of projects tailored to the specific requirements of the 2019-2020 academic year, ensuring that you stay up-to-date with the latest advancements in the field. At DLK, we believe in hands-on learning, and our experienced mentors are here to help you every step of the way.
Join DLK Career Development Centre today and embark on a journey towards mastering Embedded Projects for 2019-2020. Our dedication to your success, coupled with our in-depth industry knowledge, sets us apart as the premier destination for project guidance in Chennai. Don’t miss this opportunity to gain valuable skills and knowledge in the field of embedded systems. Choose DLK and excel in your academic endeavors.
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PROJECT LIST
1
NFC based secure mobile healthcare system
2
Remote surveillance system for driver drowsiness in real-time using low-cost embedded platform
3
Wireless access monitoring and control system based on digital door lock
4
Assistive clothing pattern recognition for visually impaired people
5
Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products
6
Robust control for urban road traffic networks
7
Wireless sensor network based air quality monitoring system
8
automatic license plate recognition based on embedded systems
9
Design and development of weather monitoring flying machine
10
MEMS accelerometer based nonspecific-user hand gesture recognition
11
Research on method for real time monitoring dynamic vehicle loading based on multi sensors