• In this work an efficient lifting scheme based on denoising for super resolution reconstruction of low resolution mammogram images is proposed. We have presented a way to improve the quality of x-ray mammography images without having to use more radiations, which increases health risks of patients. The results indicate that the proposed system can facilitate the doctor to detect breast cancer in early stage of diagnosis process. Early detection tests for breast cancer can save many thousands of lives, with super resolution reconstruction the cancer can be diagnosed at an early stage and treated successfully. High resolution images give better visibility of the breast, particularly near the skin line, chest wall and in women with dense breast tissues.

  • The aim of this project is to segment an object from a texture cluttered image. The segmentation is achieved by extracting local information of image and embedding it with active contour model based on region. Images with in-homogenous intensity can be segmented using this model by extracting the local information of image

  • This project presents a tri-band microstrip patch antenna for global positioning system (GPS) receiver.

  • This work presents a room automation system using hand gestures which is meant for physically impaired. The objective of project is to develop an algorithm for recognition of hand gestures with reasonable accuracy. Most of the gesture recognition system fails when the background is complex, here in our method we use hand detection in complex background

  • India is the second largest populated country in the world with more than 1.3 billion people having diverse culture, languages, food habits and tastes etc. Rice is a common staple food consumed by people all over India. A variety of food items can be prepared with rice including rice flakes, idly, appam, dosa etc. Of all these, dosa is one of the most popular dishes in India, usually consumed as breakfast and sometimes even as dinner.

  • The project titled “Augmented Reality Headset" is funded by Amrita TBI Tide. Mr. Shriram K .V. is the Principal Investigator.

  • The goal of this project is to develop an automatic aid to assist and benefit elderly individuals who find the library cataloguing system confusing and individuals with impaired vision. This tool will assist them in an environment such as a library, a book store or even access a bookshelf at home.

  • Sustained access to water for agriculture and management of water resources are still common challenges faced in rural communities. This project looks into understanding the ground realities and challenges when it comes to water management for irrigation.

  • Video surveillance is an emerging field where it would become much more challenging when it concerns about the lighting conditions of the video taken at night time. Pedestrian detection would be very difficult under poor illumination condition and low contrast.

  • For many villagers in India, collecting and carrying water is part of their daily routine. However, villagers often have to walk several kilometers to collect water necessary for themselves and their families, sometimes walking several times a day. Many villagers, especially women, collect and carry between 200 and 500 liters of water per day for their families and cattle.

    Recognizing the hardship of the villagers, faculty, staff, and students from the Amrita Center for Wireless Networks and Applications and Amrita Self Reliant Villages (ASeRve) worked together to build a water distribution system for more effective water use and management.