R Avaneesh - Projects

A Comparative Study on the Quality Characteristics of Masmin

I participated in the National Children's Science Congress (NCSC) 2017 and was among the top 15 participants. I submitted a study that compared the quality characteristics of Masmin prepared using traditional and improved methods. I used a new detachable smoker, liquid smoke and the traditional method to prepare Masmin. I analyzed color, taste, nutrition, and Benzonpyrene levels using HPLC at CIFT Kochi. The results showed that Masmin prepared using improved methods had better quality characteristics, including color, taste, and nutrition and had lower levels of Benzonpyrene. This project helped me develop my research and analytical skills.

Access Control ID System using Visual Cryptography and LSB Watermarking

This project proposes a solution to enhance the security and encryption of fingerprints in authentication systems by combining visual cryptography and LSB watermarking techniques. The system encrypts each pixel of the original fingerprint image into two shares using visual cryptography, ensuring that neither share provides any clue about the original pixel. These shares are then embedded into an innocent cover image using LSB watermarking, making it difficult for attackers to detect the hidden information. The system addresses security concerns related to fingerprint authentication by ensuring that even if the database is compromised, the original fingerprint cannot be reconstructed. Additionally, the system considers the computational limitations of lightweight fingerprint scanners, making the decryption process efficient and practical. By incorporating these techniques, the proposed system provides robust protection for fingerprint data while maintaining the integrity and security of the authentication process.

Image De-noising by Adaptive Median and Median Filtering

The project aimed to improve the quality of noisy images by applying image de-noising techniques. The method compared the performance of Adaptive Median and Median filtering techniques separately to remove noise from the images. The Adaptive Median filter was found to be effective in removing salt and pepper noise, especially when the noise level is above 20%. Meanwhile, the Median filter was more efficient in smoothing out the remaining noise. The project is implemented using Matlab.

Sun Tracking Solar Panel Using Proteus and Keil µVision

I have investigated a way to improve the efficiency of solar arrays by implementing a method of tracking the sun's movement. To achieve this, I designed a circuit using Proteus and wrote assembly code using Keil µVision. The circuit and code were able to control the movement of the solar array to keep it aligned with the sun, thereby increasing its efficiency in capturing solar energy. This project not only demonstrates my knowledge of circuit design and programming but also my understanding of the principles of solar energy and the methods to improve its efficiency.