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

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".

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".


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.


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 5 (1) ◽  
pp. 50-56
Author(s):  
Bibit Hartono

End of Line Resistor (EOLR) is a resistor that has a certain value to protect the circuit at the end of a loop or zone. The End of Line Resistors is used in security systems to enable the control panel to monitor wiring of open and closed. In this research using an Arduino microcontroller and Passive Infrared (PIR) Motion Sensor that connected with the systematic circuit to supervisory a loop or zone. Systematic circuit use combination of the resistor as the end of line resistor and voltage divider method. Analog input on Arduino uses to detect different states of sensors. The 1K resistor in series with the sensor line provides some protection for the input pin against the unexpected current flow. The 4K7 pull-up resistor, when combined with the resistance provided by the sensor, acts as a voltage divider, exposing the analog input to a different voltage depending on the state of the sensor. The result of measurement viewed by serial monitor function on the personal computer. PIR Sensor connected with an analog pin on microcontroller running well and there is no significant voltage value changing.


Author(s):  
Pavithra S

Abstract: This paper discusses thief detection, which is one of the important applications of suspicious human activity detections. Individual safety is a major concern in our busy scheduling life. The main reason for this concern is an ever-increasing number of activities that pose a threat. A simple closed-circuit television (CCTV) installation system is not sufficient enough because it usually requires a person to be alert and monitoring the cameras always is inefficient. The necessitates for the development of a fully automated security system detects anomalous activities in real-time, and provides instant assistance to the victim. As a consequence, we proposed a framework that examines and detects suspicious human activity from real-time Surveillance video using deep learning techniques and generates an alert if abnormal activity occurs. The method was tested on a dataset with both normal and abnormal activity and yielded better results. Keywords: Thief detection, deep-learning, surveillance video, predictive analysis, yolo.


2016 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Anip Febtriko

Security is something that is absolutely desirable by everyone. With a sense of security, people will not feel worried. For that we need a security information that is fast and effective so that security employees can immediately find out information if there is a theft in the room that is secured. This final project discusses about a room security system that is equipped with a PIR sensor that is installed at the entrance of a room or at a point considered important to be given a security system. Passive infrared sensor will be installed on the door of the room, then as an processor the Arduino microcontroller is used. Then to inform using LEDs as an indicator, buzzer as a warning siren and LCD as a text notification of the state of the situation. This system works, the PIR sensor will detect the presence of people or not in a room that is given this security system, then the Arduino microcontroller will process the data to order that the alarm sounds and give notification on the LCD that there is movement in the room. Passive infrared Receiver used is the KC778 R PIR sensor then the PIR sensor range used in the system has a maximum range of 60.


2021 ◽  
Vol 655 (1) ◽  
pp. 012039
Author(s):  
S. A Akinwumi ◽  
A. C Ezenwosu ◽  
T. V Omotosho ◽  
O. O Adewoyin ◽  
T. A Adagunodo ◽  
...  

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