Design of Detection System with Motion Sensor and Notification on Android Based on Arduino Microcontroller

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Rizky Ndaru Wicaksono ◽  
Hindarto Hindarto

The rapid development of technology nowadays makes people want to always be creative and triggers to create something that is needed to create a security system, because the difficulty of today's economy makes many people act criminally by robbery or theft. An alternative security system that is often used today is to use CCTV (Closed Circuit Television), but the limitations in conducting CCTV surveillance include that it still has to be monitored directly at the monitoring location. From the problems that occur, the authors developed a thesis that is capable of monitoring and monitoring by sending realtime alerts in the form of notifications to the user on an Android Smartphone device by building an IoT (Internet of Thing) based detection system using a PIR (Passive Infrared) motion sensor which entitled "Design of Detection System with Motion Sensor and Notification on Android Based on Arduino Microcontroller".

Academia Open ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Rizky Ndaru Wicaksono ◽  
Hindarto

The rapid development of technology nowadays makes people want to always be creative and triggers to create something that is needed to create a security system, because of today's economy makes many people act criminally by robbery or theft. An alternative security system that is often used today is to use CCTV (Closed Circuit Television), but the limitations in conducting CCTV control include that it still has to be monitored directly at the monitoring location only. From the problems that occur, the authors develop a thesis that is able to control and monitor by sending realtime alerts in the form of notifications to the user on an Android Smartphone device by building an IoT (Internet of Thing) based detection system using a PIR (Passive Infrared) motion sensor entitled "Design And Build A Detection System With Motion Sensor And Notification On Android Based On Arduino Microcontroller".


10.2196/27663 ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. e27663
Author(s):  
Sandersan Onie ◽  
Xun Li ◽  
Morgan Liang ◽  
Arcot Sowmya ◽  
Mark Erik Larsen

Background Suicide is a recognized public health issue, with approximately 800,000 people dying by suicide each year. Among the different technologies used in suicide research, closed-circuit television (CCTV) and video have been used for a wide array of applications, including assessing crisis behaviors at metro stations, and using computer vision to identify a suicide attempt in progress. However, there has been no review of suicide research and interventions using CCTV and video. Objective The objective of this study was to review the literature to understand how CCTV and video data have been used in understanding and preventing suicide. Furthermore, to more fully capture progress in the field, we report on an ongoing study to respond to an identified gap in the narrative review, by using a computer vision–based system to identify behaviors prior to a suicide attempt. Methods We conducted a search using the keywords “suicide,” “cctv,” and “video” on PubMed, Inspec, and Web of Science. We included any studies which used CCTV or video footage to understand or prevent suicide. If a study fell into our area of interest, we included it regardless of the quality as our goal was to understand the scope of how CCTV and video had been used rather than quantify any specific effect size, but we noted the shortcomings in their design and analyses when discussing the studies. Results The review found that CCTV and video have primarily been used in 3 ways: (1) to identify risk factors for suicide (eg, inferring depression from facial expressions), (2) understanding suicide after an attempt (eg, forensic applications), and (3) as part of an intervention (eg, using computer vision and automated systems to identify if a suicide attempt is in progress). Furthermore, work in progress demonstrates how we can identify behaviors prior to an attempt at a hotspot, an important gap identified by papers in the literature. Conclusions Thus far, CCTV and video have been used in a wide array of applications, most notably in designing automated detection systems, with the field heading toward an automated detection system for early intervention. Despite many challenges, we show promising progress in developing an automated detection system for preattempt behaviors, which may allow for early intervention.


2014 ◽  
pp. 76-84
Author(s):  
Anthony C. Davies ◽  
Sergio A. Velastin

The development and capabilities of closed circuit television surveillance systems in association with distributed computing systems are reviewed, and the applications to various aspects of surveillance are described.


WARTA ARDHIA ◽  
2012 ◽  
Vol 38 (1) ◽  
pp. 97-105
Author(s):  
Ismail Nadjamuddin

Kualanamu Medan Airport Construction is an alternative to overcome the operational limitations and the land that was experienced Polonia Airport. Airport security enhancement program Kualanamu Medan when operating include airport security aspects of the provision of facilities consisting of: X-Ray facility 12 units, Walk Throught Metal Detector (WTMD) 14 units, Hand Held Metal Detector (HHMD) 24 units, Closed Circuit Television (CCTV , Explosive Detection System 2 units, 2 units Liquit Scan Detecto,, Detector Nubikara 2 units (Nuclear, Biological, Chemical, Radio Active), Body Scane 1 unit, Body Inspector, Airport For Perimeter Surveillance, Security Inspection Car and Motorcycle 4. The security officer in Medan Airport Kualanamu totaling 204 personnel consisting of 124 personnel from the PT. Angkasa PuraII, 40 BKO-military personnel who assisted and 40 staff personnel outsoursing. The system and airport security procedures will refer to the Regulation of the Minister of Transportation No. 9 of 2010 about the National Aviation Security Programme and ICAO in Annex17 on Security and Document-8973 on the Security Manual for Safeguarding Civil Aviation Against Acts of Unlawful Interference, that the safety and security systems at airports should be the maximum, using equipment and adequate procedures that ensure safety and smooth flight. Pembangunan Bandara Kualanamu Medan merupakan alternatif untuk mengatasi keterbatasan operasional dan tanah yang dialami Bandara Polonia. Program peningkatan keamanan bandara Kualanamu Medan saat dioperasikan meliputi aspek keamanan bandara, penyediaan fasilitas yang terdiri dari: 12unit fasilitas X-Ray, 14 unit Walking Through Mental Detector (WTMD), 24 unit Hand Held Metal Detector (HHMD), 2 unit Closed Circuit Television (CCTV)dan sistem Deteksi peledak, 2 unit Liquit Pindai Detecto, 2 unit Detector Nubikara (Nuklir, Biologi, Kimia, Radio Aktif), Badan Scane 1 unit, Bandara Untuk Surveillance Perimeter, 4 Mobil Keamanan Inspeksi dan Sepeda Motor petugas keamanan di Medan Bandara Kualanamu sebesar 204 personel yang terdiri dari 124 personil dari PT Angkasa Pura II, 40 BKO-personil militer yang dibantu dan 40 personil staf outsoursing. Sistem dan prosedur keamanan bandara akan mengacu pada Peraturan Menteri Perhubungan Nomor 9 tahun 2010 tentang National Aviation Security Program dan ICAO dalam Annex-17 tentang Keamanan dan manual dokumen-8973 tentang Keamanan Penerbangan Sipil upaya pelanggaran hukum, bahwa keamanan dan sistem keamanan di bandara harus maksimal , menggunakan peralatan dan prosedur yang memadai yang menjamin keamanan dan kelancaran penerbangan.


2021 ◽  
Author(s):  
Sandersan Onie ◽  
Xun Li ◽  
Morgan Liang ◽  
Arcot Sowmya ◽  
Mark Erik Larsen

BACKGROUND Suicide is a recognized public health issue, with approximately 800,000 people dying by suicide each year. Among the different technologies used in suicide research, closed-circuit television (CCTV) and video have been used for a wide array of applications, including assessing crisis behaviors at metro stations, and using computer vision to identify a suicide attempt in progress. However, there has been no review of suicide research and interventions using CCTV and video. OBJECTIVE The objective of this study was to review the literature to understand how CCTV and video data have been used in understanding and preventing suicide. Furthermore, to more fully capture progress in the field, we report on an ongoing study to respond to an identified gap in the narrative review, by using a computer vision–based system to identify behaviors prior to a suicide attempt. METHODS We conducted a search using the keywords “suicide,” “cctv,” and “video” on PubMed, Inspec, and Web of Science. We included any studies which used CCTV or video footage to understand or prevent suicide. If a study fell into our area of interest, we included it regardless of the quality as our goal was to understand the scope of how CCTV and video had been used rather than quantify any specific effect size, but we noted the shortcomings in their design and analyses when discussing the studies. RESULTS The review found that CCTV and video have primarily been used in 3 ways: (1) to identify risk factors for suicide (eg, inferring depression from facial expressions), (2) understanding suicide after an attempt (eg, forensic applications), and (3) as part of an intervention (eg, using computer vision and automated systems to identify if a suicide attempt is in progress). Furthermore, work in progress demonstrates how we can identify behaviors prior to an attempt at a hotspot, an important gap identified by papers in the literature. CONCLUSIONS Thus far, CCTV and video have been used in a wide array of applications, most notably in designing automated detection systems, with the field heading toward an automated detection system for early intervention. Despite many challenges, we show promising progress in developing an automated detection system for preattempt behaviors, which may allow for early intervention.


2019 ◽  
Vol 36 (1) ◽  
pp. 56-69
Author(s):  
Brandon C. Welsh ◽  
Eric L. Piza ◽  
Amanda L. Thomas ◽  
David P. Farrington

Private security personnel play an important but largely overlooked role in the operation of closed-circuit television (CCTV) surveillance to prevent crime in public and private areas. This role can take a number of forms, including active monitoring of cameras. Drawing upon a global database of CCTV evaluations ( N = 165), this article examines the function and performance of private security personnel as related to the effectiveness of CCTV. Findings indicate that CCTV schemes operated by private security personnel generated larger crime prevention effects than those operated by police or those using a mix of police and security personnel. Policy and research implications are discussed.


2020 ◽  
Vol 34 (10) ◽  
pp. 13795-13796
Author(s):  
U-Ju Gim ◽  
Jae-Jun Lee ◽  
Jeong-Hun Kim ◽  
Young-Ho Park ◽  
Aziz Nasridinov

The use of closed circuit television (CCTV) surveillance devices is increasing every year to prevent abnormal behaviors, including shoplifting. However, damage from shoplifting is also increasing every year. Thus, there is a need for intelligent CCTV surveillance systems that ensure the integrity of shops, despite workforce shortages. In this study, we propose an automatic detection system of shoplifting behaviors from surveillance videos. Instead of extracting features from the whole frame, we use the Region of Interest (ROI) optical-flow fusion network to highlight the necessary features more accurately.


2011 ◽  
Vol 8 (4) ◽  
pp. 527-534 ◽  
Author(s):  
Alex Stedmon

How many of us question what we’re shown via closed circuit television (CCTV) as being the truth of a situation?  Can clear and easily identifiable images be wrong?  And if they are, how can you argue against the power of the recorded image from a legal standpoint?  Can Human Factors help us improve surveillance for society?  In this real example of improper CCTV surveillance, can CCTV always be taken at face value?  The simple answer is no, but how many people accept what they’re shown without question and end up paying the penalties?  This paper examines a case study where all that appeared on the CCTV image was not as it seemed.  It then considers the underlying human factors issues of CCTV technologies for surveillance and the importance of understanding the fundamental human-machine interface.


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