Embedded System for Lethal Gas Leakage Exposure and Forewarning System Using Arm Processor

2021 ◽  
pp. 227-235
Author(s):  
M. Nirmala ◽  
S. Durga Shree
2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Zhitao Li

The audio and video decoding and synchronization playback system ofMPEG-2 TS stream is designed and implemented based on ARM embedded system. In this system, hardware processor is embedded in the ARM processor. In order to make full use of this resource, hardware MFC is adopted. The multi-format codec decoder decodes the video data and decodes the audio data using the open source Mad (libmad) library. The V4L2 (Video for Linux2) driver interface and the ALSA (advanced Linux sound architecture) library are used to implement the video. Because the video frame playback period and the hardware processing delay are inconsistent, the system has a time difference between the audio and video data operations, which causes the audio and video playback to be out of sync. Therefore, we use the method of synchronizing the video playback implemented to the audio playback stream; realize the audio and video are playing sync. Test results show that, the designed audio decodes and synchronization playback system can decode and synchronize audio and video data.


2021 ◽  
Vol 23 (07) ◽  
pp. 543-549
Author(s):  
Dr. Subodh Kumar Panda ◽  
◽  
M Harshita ◽  
Nishmitha A R ◽  
Priyanka P ◽  
...  

This paper proposes the design and development of an embedded system with a robot for safety and security application using wifi communication and the webserver. This compact design has a robot along with various peripherals and sensors for detecting hazardous gas leakage and performs necessary control actions like an alarm for fire accidents, intruder detection, and sends alert messages to the local system. The robot can extinguish the fire and monitors the area inside the industry and passes the audio-video streaming to the local system. This robot also has a battery-powered wireless AV camera which provides robotic in-front environment information to the local and remote system and performs the audio and video streaming through a web server.


2014 ◽  
Vol 687-691 ◽  
pp. 3555-3558
Author(s):  
Wen Hui Li

The paper aims to study a design and technique of the image processing based on the architecture of embedded system. Aimed at the own characteristic of embedded system, designing a platform been endowed with more operating functions of embedded image processing with versatility. The author adopts the method of the embedded system design based on the basic functions and characteristic of image processing system, summarizing and comparing of the characteristic and new developments of the EOS for the ARM processor, and finally chooses the embedded Linux for the operating system of our platform, also transplant it in the hardware platform. Aimed at the characteristic of Linux device architecture, the author introduces how to develop the image capture and display, memory the data of an image, the programming method of that. Some base arithmetic of image processing, such as image smooth, sharpen, edge detect and so on, and the graphics user interface are developed on the platform with using the Mini GUI, according to the intercommunion between the human and the platform. At last, some key program's code is given.


2013 ◽  
Vol 333-335 ◽  
pp. 864-867 ◽  
Author(s):  
Cong Ting Zhao ◽  
Hong Yun Wang ◽  
Jia Wei Li ◽  
Zi Lu Ying

In order to adapt to the requirements of intelligent video monitoring system, this paper presents an ARM-Linux based video monitoring system for face detection. In this system, an ARM processor with a Linux operating system was used, and the USB camera was used to capture data, and then the face detection was conducted in the ARM device. The OpenCV library was transplanted to Linux embedded system. The algorithm of face detection was realized by calling the OpenCV library. Specially, adaboost algorithm was chose as the face detection algorithm. Experimental results show that the face detection effect of the system is satisfactory and can meet the real time requirement of video surveillance.


2013 ◽  
Vol 475-476 ◽  
pp. 209-213
Author(s):  
Hong Fang ◽  
Lin Cai Deng

This paper describes a embedded system,using ARM processor LPC2148 as the core of hardware,and using MQ series gas sensor as the detection component,and using ENC28J60 as the network communication interface,and using uc / OS-II real-time operating system as software platform for the real-time remote monitoring of density of harmful gases indoor.In this system,voltage signals from MQ sensor will be processed by the ARM micro-controller and be displayed in the LCD.Then they will be compared with the set voltage value.If they are greater than the set value,sound and light alarm will be touched off,and data will be transfered to the network through the ARM ENC28J6 network interface.Above all,the system is able to achieve accurate detection, alarm and remote monitoring indoor dangerous gases.


2019 ◽  
Vol 32 (4) ◽  
pp. 615-631
Author(s):  
Mhia Shahadat ◽  
Avijit Mallik ◽  
Md. Islam

Liquefied Petroleum Gas (LPG) is used in many ranges of applications like home and industrial appliances, in vehicles and as a propellant and refrigerator. However, leakage of LPG produces hazardous and toxic impact on human begins and other living creatures. There by, the authors developed a system to monitor the LPG gas leakage and make alert to users of it. In this research, MQ-6 gas sensor is used for sensing the level of gas concentration of a closed volume; and to monitor the consequences of environmental changes an IoT platform has been introduced. Robust control along with cloud based manual control has been applied so that the gas leakage can be prevented in the response of either feedback or feedforward commands individually. It switches on the specified relays to control the level of gas concentration in the time of leakage the excess gas in times of leakage. It rechecks the value again and again if it crosses 300 ppm it will setup a relay-based switching on control mechanism using Thingspeak cloud. The controller used here is Node-MCU v:1.0. This research provides design approach on both software and hardware. Hence an embedded system comprising of Relay switches, Embedded C++, Gas sensor, Temperature & Humidity sensor along with Internet of Things (IoT) is fabricated to meet the objectives of the current research.


2020 ◽  
Vol 11 (2) ◽  
pp. 77-98 ◽  
Author(s):  
Hassene Faiedh ◽  
Wajdi Farhat ◽  
Sabrine Hamdi ◽  
Chokri Souani

This article proposes the design of a novel hardware embedded system used for automatic real-time road sign recognition. The algorithm used was implemented in two main steps. The first step, which detects the road signs, is performed by the maximally stable extremal region method on HSV color space. The second step enables the recognition of the detected signs by using the oriented fast and rotated brief features method. The novelty of the embedded hardware system, on an ARM processor, leads to a real-time implementation of the ADAS applications. The proposed system was tested on the Belgium Traffic Sign Detection and Recognition Benchmark and on the German Traffic Signs Datasets. The proposed approach attained a high detection and recognition rate with real-world situations. The achieved results are acceptable when compared to state-of-the-art systems.


Author(s):  
Amirul Asraf Roslan ◽  
Rahimi Baharom

<span>Safety system such as smoke detector and fire alarm are considered to be a counter measure for fire accident. This safety system is important as it acts as a security measure against fire accident which could lead to death and destruction of properties. This paper propose an advanced gas leakage, fire and power supply failure monitoring system with Arduino UNO and GSM Module as its embedded system. Among the features of this system are their ability to detect the presence of smoke, gases and power failure at homes and factories, then the system will send a text message using Short Message Service (SMS) to the registered mobile number via GSM Module informing the user the situation and location of the incident. As a result, the user or person in charge can respond to the emergency situation accordingly and alert the fire departments or relevant authorities in time. This system could help the user to transform the way they protect their property and critical infrastructure. Successful safety and security transformation requires a combination of end user structural and operational changes as well as technology evolution enablement. This is in line with the Fourth Industrial Revolution (known as IR4.0), that propose substantial increase in the deployment of sensors for collecting, processing, and communicating measurement data in real time in order to diverse working environments, thus, resulting in advancement and convergence of technologies.</span>


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