Target detecting defence humanoid sniper

2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12) Pub Date : 2012-07-26 DOI:10.1109/ICCCNT.2012.6396045

J. A. Shajahan, J. Sushmita Jain, C. Joseph, A. Amodkumar, V. Chauhan, G. Keerthipriya, P. C. Kishore Raja

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引用次数: 2

Abstract

In this paper, a new method of defence system using image processing has been implemented. It is mainly focussed on bringing out the best target tracking technology. The defence humanoid is designed to overcome foreign attacks at the country border. The defence system consists of two modules- control unit and humanoid unit. The control unit has a laptop in which Graphical User Interface (GUI) using MATLAB has been implemented. Image processing is done and the control signal is transmitted. The humanoid unit receives the signal from the control unit, at a remote location and responds according to the processed control signal. The control signal has been processed by image processing technique. The humanoid does image processing by the combination of edge detection, scale space analysis, thermal image processing and virtual 3D sizing in 2D image processing and colour detection. The humanoid, works in three modes- (1) Auto Targeting and Auto Shooting (Fully Autonomous).(2)Auto Targeting and Manual Shooting.(Semi-Autonomous).(3)Manual Targeting and Manual Shooting (User Oriented).

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目标探测防御类人狙击手

本文提出了一种基于图像处理的防御系统新方法。重点是提出最佳的目标跟踪技术。这款防御类人机器人的设计目的是为了抵御来自边境的外来攻击。该防御系统由控制单元和人形单元两个模块组成。控制单元有一台笔记本电脑，其中使用MATLAB实现了图形用户界面(GUI)。完成图像处理并传输控制信号。人形单元在远程位置接收来自控制单元的信号，并根据处理后的控制信号作出响应。采用图像处理技术对控制信号进行处理。在二维图像处理和色彩检测中，结合边缘检测、尺度空间分析、热图像处理和虚拟三维定尺进行图像处理。该机器人有三种工作模式:(1)自动瞄准和自动射击(完全自主);(2)自动瞄准和手动射击(半自主);(3)手动瞄准和手动射击(用户导向)。

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2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)

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