Server Based Wireless Motion Detection System Using PIR Sensor

Detecting human movement plays a vital in this industrial era where it can be effectively used in industrial sectors dealing with reactors and boilers. A server based automated system that allows only the authorized persons to enter into the hazardous zone that will avoid misguiding of the system by unknown persons. In this research article, a server based motion detection module involving PIR sensor and GSM is proposed. Here we use two modules one is digital image processing and another one is embedded system. It is used to detect any obstacle in within its field. Once obstacle will be detected camera will be on. Camera captured an upcoming image and check whether it is a human or animal, if it is a human it will compare with input database images, then easily find unauthorized person.

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Image Processing Based Real Time Motion Detection System Using GSM and Embedded System

2020 IEEE 23rd International Multitopic Conference (INMIC) ◽

10.1109/inmic50486.2020.9318186 ◽

2020 ◽

Author(s):

Muhammad Aseer Khan

Keyword(s):

Image Processing ◽

Embedded System ◽

Real Time ◽

Motion Detection ◽

Detection System ◽

Time Motion ◽

Motion Detection System

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Object motion detection, extraction and filtering using ANN ensembles

10.51415/10321/557 ◽

2009 ◽

Author(s):

◽

Kevin Emanuel Moorgas

Keyword(s):

Image Processing ◽

Hybrid System ◽

Motion Detection ◽

Detection System ◽

Computation Time ◽

Object Motion ◽

Image Motion ◽

Motion Detection System ◽

Dsp Systems ◽

Stationary Image

This research is devoted to the development of an intelligent image motion detection system based on artificial neural networks (ANN’s). Object motion detection, non-stationary image isolation and extraction, and image filtering is investigated, with the intention of developing a system that will overcome some of the shortcomings associated with the performance of conventional motion detection systems. Motion detection and image extraction finds popular application in medical imagery and engineering based diagnostics systems. Conventional image processing systems utilise Digital Signal Processing (DSP) to perform the non-stationary image motion detection function. Aliasing and filtering are problematic processes in DSP based image processing systems. The proposed ANN motion detection system overcomes some of these shortcomings. The study compares the performance of conventional DSP systems to that of the proposed ANN based system. The excellent noise immunity, ability to generalise and robustness of the ANN system is exploited in the design of the motion detection system. The ANN’s are arranged as ensembles in order to improve the computation time of the proposed motion detection system. A hybrid system comprising DSP and ANN ensembles is also proposed in the study. The hybrid system exploits the positive characteristics of DSP and ANN’s within a single system. The performance of the pure ANN system and the hybrid system is compared to that of DSP systems, using the image’s signal-to-noise ratio and computation times as a basis for comparison.

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