scholarly journals The Use of Closed-Circuit Television and Video in Suicide Prevention: Narrative Review and Future Directions

10.2196/27663 ◽  
2021 ◽  
Vol 8 (5) ◽  
pp. e27663
Author(s):  
Sandersan Onie ◽  
Xun Li ◽  
Morgan Liang ◽  
Arcot Sowmya ◽  
Mark Erik Larsen
Keyword(s):  
Computer Vision ◽  
Early Intervention ◽  
Suicide Attempt ◽  
Detection System ◽  
Automated Detection ◽  
Video Data ◽  
Narrative Review ◽  
Closed Circuit ◽  
Closed Circuit Television ◽  
Area Of Interest

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.

scholarly journals The Use of Closed-Circuit Television and Video in Suicide Prevention: Narrative Review and Future Directions (Preprint)

2021 ◽  
Author(s):  
Sandersan Onie ◽  
Xun Li ◽  
Morgan Liang ◽  
Arcot Sowmya ◽  
Mark Erik Larsen
Keyword(s):  
Computer Vision ◽  
Early Intervention ◽  
Suicide Attempt ◽  
Detection System ◽  
Automated Detection ◽  
Video Data ◽  
Narrative Review ◽  
Closed Circuit ◽  
Closed Circuit Television ◽  
Area Of Interest

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.

Program Peningkatan Keamanan Di Bandara Kualanamu Medan Apabila Beroperasi

WARTA ARDHIA ◽  
2012 ◽  
Vol 38 (1) ◽  
pp. 97-105
Author(s):  
Ismail Nadjamuddin
Keyword(s):  
Detection System ◽  
Aviation Security ◽  
Closed Circuit ◽  
Airport Security ◽  
Civil Aviation ◽  
Metal Detector ◽  
Closed Circuit Television ◽  
X Ray ◽  
Security Officer ◽  
Security Inspection

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.

scholarly journals Automated detection of fault types in CCTV sewer surveys

2018 ◽  
Vol 21 (1) ◽  
pp. 153-163 ◽  
Author(s):  
Joshua Myrans ◽  
Richard Everson ◽  
Zoran Kapelan
Keyword(s):  
Random Forest ◽  
Automated Detection ◽  
Closed Circuit ◽  
Future Application ◽  
Video Frame ◽  
Water Industry ◽  
Closed Circuit Television ◽  
Gist Descriptor

Abstract Sewers must be regularly inspected to prioritise effective maintenance, which can be an expensive and time-consuming process. This paper presents a methodology to automatically identify the type of a detected fault using raw closed circuit television (CCTV) footage. The procedure calculates the GIST descriptor of a video frame containing a fault before applying a collection of random forest classifiers to identify the fault's type. Order oblivious filtering is used to further improve the methodology's performance on continuous footage. The technology, including various classifier architectures, has been validated and demonstrated on CCTV footage collected by Wessex Water. The methodology achieved a peak accuracy of 73% when applied to well-represented fault types, showing promise for future application in the water industry.

scholarly journals Deep Abnormality Detection in Video Data

2017 ◽  
Author(s):  
Hung Vu
Keyword(s):  
Detection System ◽  
Automated Detection ◽  
Video Data ◽  
Feature Representation ◽  
Training Data ◽  
Surveillance Systems ◽  
Abnormality Detection ◽  
Probabilistic Framework ◽  
Detection Systems ◽  
Multiple Levels

Automated detection of anomalous events plays an important role in video surveillance systems in practice. This task, however, requires to deal with three challenging problems of the lack of annotated training data, the inexact description of what to be "abnormal" and the expensive feature engineering procedure. Most anomaly detection systems are only able to satisfy some of these challenges. In this work, we propose a deep abnormality detection system to handle all of them simultaneously. Deep abnormality detection is a deep generative network that is an unsupervised probabilistic framework to model the normality and learn feature representation automatically. Furthermore, unlike other existing methods, our system can detect abnormality at multiple levels and be used as a powerful tool for video analysis and scene understanding.

Closed Circuit Television (CCTV) Earthquake Behaviour Coding Methodology: analysis of Christchurch Public Hospital video data from the 22 February Christchurch earthquake event

2016 ◽  
Vol 86 (3) ◽  
pp. 1175-1192 ◽  
Author(s):  
Emily S. Lambie ◽  
Thomas M. Wilson ◽  
Erik Brogt ◽  
David M. Johnston ◽  
Michael Ardagh ◽  
...  
Keyword(s):  
Public Hospital ◽  
Video Data ◽  
Closed Circuit ◽  
Closed Circuit Television ◽  
Earthquake Event

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
Keyword(s):  
Detection System ◽  
Rapid Development ◽  
Security System ◽  
Closed Circuit ◽  
Motion Sensor ◽  
Closed Circuit Television ◽  
Arduino Microcontroller ◽  
Cctv Surveillance ◽  
Internet Of Thing ◽  
Passive Infrared

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".

scholarly journals 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
Keyword(s):  
Detection System ◽  
Rapid Development ◽  
Security System ◽  
Closed Circuit ◽  
Motion Sensor ◽  
Closed Circuit Television ◽  
Arduino Microcontroller ◽  
Internet Of Thing ◽  
Passive Infrared

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".

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