Pc Regimented Defence Android Using Zigbee

  In this project, there are two sections (transmitter & receiver) as shown in the block diagrams. The instructions such as Left, Right etc are processed and are given by the person by operating PC. So based upon input of PC the following output will be seen i.e. left or right. In Transmitter Section, the instructions are delivered to Zigbee transceiver from microcontroller which is connected to the PC.  This information is processed and is sent to the receiver section via wireless.

                       In Receiver Section, the signals from the transmitter section are received by the Zigbee transceiver and send to the controller as input. Controller will process this data and it will control the Robot direction according to the instruction which is given at the transmitter section. Then the Robot will move in that particular direction for the given instruction. Similarly camera directions also controlled.

Intelligent Energy Saving System

            Intelligent Energy Saving System can be used in places like where lighting is very important. The libraries will be well illuminated with many lamps. When people are not present at a reading place the lighting can be made OFF and when they are present, the lighting made ON. All these can be done through by Dimming circuit and PIR sensor. If a person entering to the monitored area, the PIR sensors activates and sense the person, gives to the micro controller. The Infrared energy emitted from the living body is focused by a Fresnel lens segment. Then only the PIR sensor activates. After sensing the person   LDR checks the light intensity of the monitored area, whether it is bright or dark. Depending on the LDR output, the lamp may be ON / OFF by using Dimmer circuit.
          By using this system we can adjust the speed of Fan according to the room temperature measured by Thermostat, which is connected to the micro controller.

             To display the room temperature of PIR mode operation we are using the LCD display. 

Energy Harvesting from Passive Human Power

          Portable equipment's are the first evolution from fixed equipment's to make possible that some day computers are part of our everyday lives. The trends in technology allow the decrease in both size and power consumption of complex digital systems. This decrease in size and power gives rise to the concept of wearable devices in which digital systems are integrated in everyday personal belongings, like clothes, watch, glasses, etc. Power is a limiting factor in this kind of devices. Wearable computers are distributed devices in clothes and therefore the power must be distributed and supplied over the body.Human power is defined as the use of human work for energy generation to power an electronic device. One possible division is to distinguish between active and passive harvesting energy method. The active powering of electronic devices takes place when the user of the electronic product has to do a specific work in order to power the product that otherwise the user would not have done. The passive powering of electronic devices takes places when the user doesn't have to do any task different to the normal tasks associated with the product. The energy is harvested from the user's everyday actions (walking, breathing, body heat, blood pressure, finger motion). Once the power is harvested it must be stored and there are many possibilities (capacitors, rechargeable batteries, etc.)

Finger print recognized passport verification(PIC 16F877A / AVR)

     An accurate Access Control System is critical in a wide range of application domain such as national ID card, electronic commerce, and automated banking. A Biometrics based Access Control System based on her physiological or behavioral characteristics is inherently more reliable and more capable in differentiating between an authorized person and a fraudulent imposter than traditional methods. The objective is to design a fingerprint-based biometric system which is capable of achieving a fully automatic "positive personal identification" with a high level of confidence. This paper is implementation of Minutia based approach to fingerprint recognition. The identified and explored the following issues: (i) feature extraction (ii) image enhancement, (iii) Minutiae matching. An alignment-based minutiae-matching algorithm has been proposed. This algorithm is capable of finding the correspondences between input minutiae and the stored template without resorting to exhaustive search and has the ability to compensate adaptively for the nonlinear deformations and in exact transformations between an input and a template. Each passport user details stored in data base server.

Wind mill energy conversion system (Matlab Project)

      This paper presents a full detailed modeling and a new  control scheme of a three-phase grid-connected wind energy conversion system (WECS).  The WECS model consists of a variable speed wind turbine generator and the electronic power conditioning  system is composed of a back-to-back AC-DC-AC power converter. The control consists of a multi-level hierarchical structure and incorporates a maximum power point tracker (MPPT) for best use of the wind  resource. In addition, reactive power compensation of the electric grid is included, operating simultaneously  and independently of the active power generation. A three-level voltage source inverter (VSI) is used as  interface with the AC power grid. Validation of models and control schemes is performed by using the  MATLAB/Simulink environment. Moreover, a 400 W WECS experimental set-up was employed to demonstrate the accuracy of proposed models and control algorithms

Image re-assembling (Matlab project)

    The problem of reassembling image fragments arises  in many scientific fields, such as forensics and archaeology. In the field of archaeology, the pictorial excavation findings  are almost always in the form of painting fragments.  The manual execution of this task is very difficult, as it  requires great amount of time, skill and effort. Thus, the  automation of such a work is very important and can lead  to faster, more efficient, painting reassembly and to a significant  reduction in the human effort involved. In this paper, an integrated  method for automatic color based 2-D image fragment reassembly  is presented. The proposed 2-D reassembly technique is divided into four steps. Initially, the image fragments which are  probably spatially adjacent, are identified utilizing techniques  employed in content based image retrieval systems. The second  operation is to identify the matching contour segments for every  retained couple of image fragments, via a dynamic programming technique. The next step is to identify the optimal transformation  in order to align the matching contour segments. Many registration  techniques have been evaluated to this end. Finally, the overall  image is reassembled from its properly aligned fragments. This is achieved via a novel algorithm, which exploits the alignment angles found during the previous step. In each stage, the most robust algorithms having the best performance are investigated and their results are fed to the next step. We have experimented with the proposed method using digitally scanned images of actual torn pieces of paper image prints and we produced very satisfactory reassembly results.

Image Compression (Matlab project)

For the past few years, a joint ISO/CCITT committee known as JPEG (Joint Photographic Experts Group) has been working to establish the first international compression standard for continuous-tone still images, both grayscale and color. JPEG’s proposed standard aims to be generic, to support a wide variety of applications for continuous-tone images. To meet the differing needs of many applications, the JPEG standard includes two basic compression methods, each with various modes of operation. A DCT-based method is specified for “lossy” compression, and a predictive method for “lossless” compression. JPEG features a simple lossy technique known as the Baseline method, a subset of the other DCT-based modes of operation. The Baseline method has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications. This article provides an overview of the JPEG standard, and focuses in detail on the Baseline method