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Graduation Day Ceremony & College Magazine

On 30th June 2012 I was graduated & was awarded GOLD MEDAL for my B.Tech project which was considered to be the best project across all branches of CVR College of Engineering. It was also appreciated by NBA Chair person and IT Secretary of AP in 2012. My parents were interviewed by STUDIO N news channel to share their happiness and views on receiving Gold Medal. CVR NEWS LETTER 2K12_WITH THE NEWS OF GOLD MEDAL These are the pics of the newsletter of CVR where the articles are written on me and my works. Kindly have a glance. Thank you. The above pic has been the most memorable pic for me and my project success. It was NBA chair person who appreciated me for the project and gave a keen observation on all the modules of the project. I thank for his patience and valuable time and also CVR sir for giving me the opportunity to showcase the project to him.  — in  Hyderabad . The article is written on acheiving the G

3rd World Conference @ Nepal

The  3 rd  World Conference  that held in Nepal made me to  successfully   complete my 55  International,National & State level  presentations along with 3 keynotes on my research projects. I had received award from Prof J.S.Rao a renowned scientist & an inventor in the field of Nuclear Fusion and has worked with A.P.J Abdul Kalam & other renowned scientists. I had received appreciations for my Key-Note on " RK-Smart World"  & project RK was appreciated & recognized as  “ Remarkable-Knowledge ” by Prof. A.S.N.Chakravarty , JNTU Kakinada. The passion for R&D has always continued to the best of my efforts & it had been a splendid journey with BRCORP since 2012, which has been an encouragement to pursue my passion in research after my graduation in 2012.

Dhruva- The Drone- By Saikiran

Excited to share my work towards drone development, I have worked towards developing framework using computer vision and vision position system helping us to identify people/objects/plants and the anomalies in their growth cycle and give analysis through live camera feed.   I have programmed the drone with minimal features currently supporting Face and Object Detection and tracking and controlling the flight movements. Idea is to enhance the capabilities to Drone assisted Indoor navigation system with path follower and facial recognition to identify people and pose estimation.