Design and implementation of an embedded home surveillance system with ultra-low alert power

Bai, Ying-Wen; Xie, Zi-Li; Li, Zong-Han

doi:10.1109/icce.2011.5722591

Cited by 20 publications

(13 citation statements)

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“…The programming was performed for the reading of sensor values. //read value: void loop(void){ uint_tchk=DHT11.read(DHT11PIN); int sensorValue1=digitalRead(9);//fire intsensorValue=analogRead(A1);//fire int va2=analogRead(A0);//gas int va2=digitalRead (8);//gas //condition data: if(va2==0) {client.println("GAS: No Gas");} if(va2==1){client.println("GAS: Has GAS");} if(sensorValue1==0){client.println("FIRE No FIRE");} if(sensorValue1==1){client.println("FIRE: Has FIRE");} client.print("Humidity: "); client.println(DHT11.humidity, DEC); client.print("Temperature(C):"); client.println(DHT11.temperature, DEC);…”

Section: B Design and Implementation Of The Mobile Fire Alarm Systemmentioning

confidence: 99%

“…This paper [8] proposes a design of a home embedded surveillance system with ultra-low-power. Here, Pyroelectric Infrared Sensors (PIR) and pressure sensors have been built around a microcontroller with ultra-low alert power as the alert group in windows and doors where an intruder must pass through.…”

Section: Design and Implementation Of A Home Embedded Surveillancementioning

confidence: 99%

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Survey on Home Security Surveillance System Based on Wi-Fi Connectivity Using Raspberry Pi and Iot Module

Swathi¹

2018

ijarcs

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This paper details the design and development of Wi-Fi connectivity based on home security surveillance camera using Raspberry Pi and an IoT Module reducing continuous human monitoring and controlling with enhanced performance and effective results.Adding wireless fidelity to embedded systems will open up various feasibilities such as worldwide monitoring and control, reliable data storage etc. This system comprises of wireless sensor nodes and a controller section for surveillance. Remote user alerts, live video streaming, and portability are the prime features of the system. Modular design is followed so that any number of nodes can be added or removed; data acquisition is used to sample signals and measure real world physical conditions. The user is warned via e-mails, phone calls or SMS after an unusual behavior occurs and an event notification is sent which shows the events captured by the camera. The IoT module eliminates the need for a microcontroller and wireless transceiver module in a sensor node, thus it makes the node compact, cost-effective and easy to use. The biggest advantage of the system is that the user can seek surveillance from anywhere in the world and can respond according to the situations.

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Section: B Design and Implementation Of The Mobile Fire Alarm Systemmentioning

confidence: 99%

Section: Design and Implementation Of A Home Embedded Surveillancementioning

confidence: 99%

Survey on Home Security Surveillance System Based on Wi-Fi Connectivity Using Raspberry Pi and Iot Module

Swathi¹

2018

ijarcs

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“…There are many sensor modalities have been explored to improve or assist surveillance system, such as: audio 24], ultrasonic [30], passive infrared (PIR) [31] pressure sensor, etc. Environmental sound like breaking of glass, dog's barking, people screaming, fire alarm, gun firing and similar kind of sounds, may give a reasonable degree of confidence in making a decision about 'secure' or 'insecure' state [45].…”

Section: Other Sensor (Audio Ultrasonic Etc)mentioning

confidence: 99%

A comprehensive review on intelligent surveillance systems

Ibrahim

2016

CST

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Intelligent surveillance system (ISS) has received growing attention due to the increasing demand on security and safety. ISS is able to automatically analyze image, video, audio or other type of surveillance data without or with limited human intervention. The recent developments in sensor devices, computer vision, and machine learning have an important role in enabling such intelligent system. This paper aims to provide general overview of intelligent surveillance system and discuss some possible sensor modalities and their fusion scenarios such as visible camera (CCTV), infrared camera, thermal camera and radar. This paper also discusses main processing steps in ISS: background-foreground segmentation, object detection and classification, tracking, and behavioral analysis.

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“…The system processes the data from IR sensors in order to detect an event of interest in the private area to identify the author by correlation with the images grabbed in the public area. Energy conservation through limiting the sensing to a small part of the network was also considered in [32]- [35]. In [32], the activation pattern is swept across the network.…”

Section: Related Workmentioning

confidence: 99%

Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera

Magno

Tombari

Brunelli

et al. 2013

IEEE J. Emerg. Sel. Topics Circuits Syst.

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Abstract-Surveillance is one of the most promising applications for wireless sensor networks, stimulated by a confluence of simultaneous advances in key disciplines: computer vision, image sensors, embedded computing, energy harvesting, and sensor networks. However, computer vision typically requires notable amounts of computing performance, a considerable memory footprint and high power consumption. Thus, wireless smart cameras pose a challenge to current hardware capabilities in terms of low-power consumption and high imaging performance. For this reason, wireless surveillance systems still require considerable amount of research in different areas such as mote architectures, video processing algorithms, power management, energy harvesting and distributed engine. In this paper, we introduce a multimodal wireless smart camera equipped with a pyroelectric infrared sensor and solar energy harvester. The aim of this work is to achieve the following goals: 1) combining local processing, low power hardware design, power management and energy harvesting to develop a low-power, low-cost, power-aware, and self-sustainable wireless video sensor node for video processing on board; 2) develop an energy efficient smart camera with high accuracy abandoned/removed object detection capability. The efficiency of our approach is demonstrated by experimental results in terms of power consumption and video processing accuracy as well as in terms of self-sustainability. Finally, simulation results show how perpetual work can be achieved in an outdoor scenario within a typical video surveillance application dealing with abandoned/removed object detection.Index Terms-Embedded smart camera, energy efficient, infrared sensor, multimodal video surveillance system, wireless sensor network.

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Design and implementation of an embedded home surveillance system with ultra-low alert power

Cited by 20 publications

References 1 publication

Survey on Home Security Surveillance System Based on Wi-Fi Connectivity Using Raspberry Pi and Iot Module

Survey on Home Security Surveillance System Based on Wi-Fi Connectivity Using Raspberry Pi and Iot Module

A comprehensive review on intelligent surveillance systems

Multimodal Video Analysis on Self-Powered Resource-Limited Wireless Smart Camera

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