Segway is most commonly refers to a two-wheeled, self-balancing electric vehicle invented by Dean Kamen. It works on the principal of inverted pendulum. In simple terms, if the rider leans forward while on the segway, it would accelerate in the forward direction. Similarly, if one leans backwards, it would decelerate.Please refer to the video for more details.
This project used microcontroller Atmega 1280 (Arduino Mega). To refer to the details on implementation please refer here
A new grid based approach is exploited for hand gesture recognition. The project may be divided into 3 categories namely hand detection, recognition and tracking. For detection we used automatic skin thresholding and suf feature matching. For recognition we used PCA, convexity defect and for tracking we used optical flow.Please refer to the video for more details.
The Inverted Pendulum system consists of 2 optical encoders (one for base motor and another for Pendulum) which tells the angle of motor and pendulum. State space controls are designed for this system using matlab/simulink simulations. Four parameters namely pendulum angle, pendulum angular velocity, base motor angle and base motor velocity are required to compute base motor control voltage. Apart from mechanical design, we also need servo amplifier as a motor driver..Please refer to the video for more details.
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This project used microcontroller Atmega 1280 (Arduino Mega). To refer to the details on implementation please refer here
Optical Network carry tens of Gigabytes of data. Breaking of a single network results in massive loss of data. This software does the real time congestion analysis of all the data carried by numerous optical fibres and dynamically allocates data of broken optical fibre based on load, speed and cost heuristics to other optical lines with minimum overhit in resources.