Target detecting defence humanoid sniper

Shajahan, J. A.; Jain, Jhilmil; Joseph, Christeena; Amodkumar, A.; Chauhan, Vineet Kumar; Keerthipriya, G.; Raja, P. C. Kishore

doi:10.1109/icccnt.2012.6396045

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…Black color can be detected easily in a gray scale image [12]. Subtraction of colored components is not required in this case.…”

Section: ) Detection Of Colored Objectmentioning

confidence: 99%

Wireless Visual-Servoing Using Primary Color Space in MATLAB

Rizvi¹,

Javed²,

Shahid³

et al. 2015

JOIG

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In this paper, Wireless Visual Servoing using MATLAB is implemented. MATLAB is used as Digital Image Processing tool for Objects and their Position Detection on the basis of Primary Color Space and then used as Primary Controller to navigate the robot about these positions. While Arduino is used as secondary controller to drive motors of robot to move towards the provided values of locations. Developed image processing algorithm, interfacing of Arduino and Wireless Camera with MATLAB are discussed in detail. Complete Control system is implemented and experimental results are obtained to verify Image Processing Algorithm. 

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“…Black color can be detected easily in a gray scale image [12]. Subtraction of colored components is not required in this case.…”

Section: ) Detection Of Colored Objectmentioning

confidence: 99%

Wireless Visual-Servoing Using Primary Color Space in MATLAB

Rizvi¹,

Javed²,

Shahid³

et al. 2015

JOIG

View full text Add to dashboard Cite

show abstract

“…Such humanoids can especially serve as assistants for the disabled by helping them with their daily activities. Humanoid systems can also be used in mission-critical operations like disaster recovery [ 6 , 7 ], military operations [ 8 , 9 , 10 ], etc. However, the reliability of the system required in such applications is much more than that of previous applications.…”

Section: Introductionmentioning

confidence: 99%

Brain-Computer Interface-Based Humanoid Control: A Review

Chamola

Vineet

Nayyar

et al. 2020

Sensors

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A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI. This is majorly beneficial for those who have severe motor disabilities. Traditional BCI systems have been dependent only on brain signals recorded using Electroencephalography (EEG) and have used a rule-based translation algorithm to generate control commands. However, the recent use of multi-sensor data fusion and machine learning-based translation algorithms has improved the accuracy of such systems. This paper discusses various BCI applications such as tele-presence, grasping of objects, navigation, etc. that use multi-sensor fusion and machine learning to control a humanoid robot to perform a desired task. The paper also includes a review of the methods and system design used in the discussed applications.

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Target detecting defence humanoid sniper

Abstract: In this paper, a new method of defence system using image processing has been implemented.

Cited by 2 publications

References 6 publications

Wireless Visual-Servoing Using Primary Color Space in MATLAB

Wireless Visual-Servoing Using Primary Color Space in MATLAB

Brain-Computer Interface-Based Humanoid Control: A Review

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