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Articles by Shriram K. Vasudevan
Total Records ( 5 ) for Shriram K. Vasudevan
  Shriram K. Vasudevan , Karthik Venkatachalam , S. Anandaram and Anish J. Menon
  Before building any electronics product or equipment it is well known that, the person building it will finalize the circuit after lot of simulation with simulation tools or relevant coding with electronics coding packages. One needs to be conversant with simulation tools for electronics or coding or both. It is not only complex, it is also time consuming. We have come up with an innovative and effective solution for the above said problem. Here, with our proposed solution, one can draw the circuit that is being thought of in a paper. The image can be fed into our product (application) which will generate net list for the drawn circuit. This will make the life easier and save a lot of time. One can test a lot of combinations of the components of the circuit without having necessity to spend time with simulation or coding. In the past, the inventions related to this area have identified only RLC components. We have enhanced the quality and results with identification of more components, using machine learning and image processing techniques. Usage of machine learning has not only fetched good results but also it increased the chances of identifying more components with ease and accuracy.
  R. Sivaraman , Shriram K. Vasudevan , Akash Kannegulla and A. Salivahana Reddy
  This project aims to develop a smart and secured traffic regulatory system. With this implementation in place, the cities and metros can become a better comfortable place to drive and live in. The system should be intelligent enough to make perfect decisions in varying the signal timings and help the driver to proceed towards the road in which the traffic intensity is less. Regulating the traffic through a smart system should provide better traffic control but at the same time should be inexpensive, so here the proposed system will provide a smart and inexpensive way to regulate traffic. In the recent years, due to the enormous growth of automobile industry, vehicles have become plenty in every city. The traffic signals in many countries are controlled by traffic police manually. This makes delay in traffic flow since the concerned person need sufficient time to judge and in such high traffic it is very difficult to observe the presence of emergency vehicles. The proposed system will detect the density of traffic on each road and changes the signal timings as per the density. Only changing the signals may not help the driver in some emergency situations. So, here comes the smart point of the project. At every junction LED board will be displayed which shows the intensity of traffic and as per requirement the driver can decide his path of convenience. The entire system maintains free flow of traffic and thus regulate without manual operations.
  S. Rohit , Shriram K. Vasudevan , S. Lokesh , K. Ajeeth and Vineet Nair
  This study aims to develop a system to prevent accidents occurring due to footboard travelling in buses. Tragedies resulting from footboard travelling in buses are one of the prominent examples of road accidents. A 16 year old student was travelling on the footboard of an over crowded MTC (Metropolitan Transport Corporation) bus at Velachery, Chennai, in September, 2010. The youngster was crushed to death under the wheels of the bus when he slipped and fell down. In another incident, a speeding bus, having passengers hanging on the footboard, was hit by a lorry on Rajiv Gandhi Salai, Chennai, in December, 2012. Four students were fatally caught between the bus and the lorry. The basic principle behind the working of the proposed system is to stop the bus from moving when someone stands on the footboard. Even though automatic doors are available, the negligence of the bus drivers to close the door before starting the bus makes the automatic doors moot. But the system ensures that the bus does not move unless the foot board has no passengers and more importantly, only when the doors are closed. In this way, human interference is completely removed there by reducing the number of deaths drastically.
  K. Kamalakannan , S. Prashanth , Shriram K. Vasudevan , A. Balachandran and T. Boobalan
  This project proposes a new design for an obstacle avoider whose main decision-making component is a decoder. The decoder acts as a substitute for the microcontroller. The obstacle detecting sensors provide the input for the decoder and the decoder conveys the inputs to the motor enabling the movement. The power of AND gates and OR gates is long forgotten. Every one of us remembers their truth table just like a fact. The truth that they can be used for application has become a practical joke. Microcontrollers have come into play regardless of the complexity of the application. An obstacle avoider is a simple robot that has one dimensional motion; it can find its way through obstacles. In such case an obstacle can be anything. It changes with every application. For e.g., (1) for a car the obstacle would be the road patches and (2) for a physically abled person in a wheel chair the obstacle would be people. Robots can be made without microcontrollers. Microcontroller can be reprogrammed to serve a different purpose. Generally, one cannot expect a common user to reprogram it. If it is coded as an avoider it is an avoider throughout. This led to the spark of the idea. The usage of a decoder instead of a microcontroller greatly reduces the cost; additionally the decoder being memory less the access time is negligible.
  Shriram K. Vasudevan , P.B. Sajan and N. Hari Prasanth
  Over speeding of vehicles is one of the major reasons for the occurrence of accidents these days. Several methods have been adopted to solve this problem but most of them are largely ineffective, manually operated or depends upon the user’s ability to be alert while using them. The objective of this research is to provide an automatic speed alert and reporting system using Android which can inform a driver about his speed limit and alert him if he exceeds the permitted speed limit. The speed detection mechanism we have proposed helps in analysing the factors determining the reliability of travel speed in order to construct a methodology for the estimation of travel speed based on global positioning system and consequently to enhance the estimation process to be more economical and accurate. The driver will also be alerted to slow down the vehicle if there are any schools, hospitals or any such crowded area’s in a near distance of his current location using the Google Maps API. Using this the driver can also check for the nearby hospitals or petrol bunks in case of any emergency.
 
 
 
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