Machine Vision System for Visually Impaired PeopleMachine Vision System for Visually Impaired People
The aim of this project is to develop an artificial vision system for visually impaired people. Salient features are human detection and recognition, currency recognition, obstacle detection, staircase detection, complete healthcare such as finding the blood pressure, sugar level, respiration rate, ECG and EMG etc. These entire features are available just by giving voice commands, results will be sent as voice to earphones.
Automatic Monitoring and Detection System (AMDS) for Grey Traffic
With this fast growing telecom market the bars are being raised which is leading to a continuous upgrade demand by the customer as well as for the operator/provider. From customer point of view, one requires better security, privacy and QoS. While security and privacy are also a must for operators as they want systems that would allow them to ensure revenues, optimized planning, maintenance and intelligent performance monitoring of network. Such systems would be able to detect frauds through detailed and customizable reports. This fraud detection will lead to the identification of grey traffic to full extent.
The proposed AMDS will be able to provide information where and how much grey traffic is being channelled. It will function as a real-time mediation platform to facilitate a large number of VoIP data requests. It will guarantee the implementation of grey traffic detection that will be transparent, independent and non-meddling of underlying connectivity technology.
Dielectric Characterization for Agricultural & Pharmaceutical Applications Using Microwave Techniques, ICT R&D
The proposed project aims to address one of the key challenges of dielectric characterization of solvents and biological materials within the pharmaceutical and agricultural industry. It is rather well-known that the dielectric properties of materials could be measured by using innovative microwave topologies to gain access to a wealth of information regarding the material including various other parameters such as the physiological and chemical changes. The technique involves exposing the material to microwave radiation and then acquiring the transmitted and the reflected signal to determine the propagation and attenuation constants of the wave as it progresses through the material. The acquired signals carry the information pertaining to the material and could be used to determine the contents. The field of dielectric characterization is well-known and many methodologies have been developed in the past. The aim of this project is to study and apply a novel class of miniature, compact and highly sensitive sensors to perform measurements on a range of materials.