Implementation and Result

Unmanned Gun Control Mechanism can be implemented using existing purpose Camera (web Cam) under the "Area of surveillance" to detect the Intruders. This project is focused on shape detection to observe the real object image. This paper starts by describing the method of converting RGB image to binary signal using MATLAB.

            To accomplish this we propose a mechanism which will employ image processing in which webcam will be continuously observing the area under surveillance. This data will be then processed by a MATLAB code which will be running on a PC and will be able to detect a particular color in front of a white background.

            Depending on this process data the information about the intruder location will be sent to a microcontroller (89c51) via the serial / parallel port of the PC and then motor control gun will be used to point in the direction of the intruder. With this mechanism will be online that is the gun will be continuously be pointing in the direction of the intruder. Further depending on range (distance from the gun) (fixed range in this project) the gun can be activated and a laser pointer will be switched ON to depict shooting the targets.

5.1 MATLAB GUI Call back Program Screen shot

Figure 5 (a): MATLAB GUI Programming window

Above screen shot of the MATLAB call back program shows the initialization of webcam for capturing the image in any weather condition. In this, MATLAB code use for provide the specification of image about their resolution, length, width etc.

5.2 MATLAB Program GUI Screen shot

Figure 5 (b): MATLAB GUI Program Execution window.

Above MATLAB program screen shot shows the execution of the code. In which the webcam are continuously capturing the video at 5ms intervals of time. In screen shot the figure shows when the webcam detecting red color the gun pointer shoot the target. MATLAB calculate the numerical accuracy of the image.

5.3 Photograph of Project

6. ADVANTAGES AND DISADVANTAGES

6.1 Advantages

•  It is used at extreme conditions.
•  Cost effective.
• High performance language is used.
• Safe and secured.

6.2 Disadvantages

• Difficulty in mounting.
• Special night vision cameras required in dark and bad light conditions.

6.3 Future development

•  Future work will concentrate on improving the accuracy of pointing the gun towards the intruder.
• The new MATLAB coding should be developed for the night vision cameras.
• To detect the intruder in complex background.
• Implementing the same code for the detection of intruder to the home  locations.
• Improve the speed of the coding so that can be Implemented in fast moving vehicles like helicopters.