Thief Detection with Deep Learning using Yolo Predictive Analysis

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.

PEMANTAUAN JARINGAN MENGGUNAKAN NAGIOS DAN ZABBIX DENGAN NOTIFIKASI TELEGRAM MESSENGER DAN GOOGLE MAIL

Penggunaan Nagios dan Zabbix sebagai alat untuk mendeteksi dan mengirimkan notifikasi peringatan apabila terdapat suatu device atau host yang mati secara tiba-tiba (down). Objek pemantauan dari penelitian ini adalah IP kamera CCTV (Internet Protocol Closed Circuit Television) dan server kamera (Host Windows) yang mengelola IP kamera tersebut. Kegagalan sistem ini dapat disebabkan karena pemadaman listrik. Hal ini menyebabkan matinya seluruh perangkat jaringan (network device). Maka dari itu perlu sebuah notifikasi secara real time apabila salah satu dari kamera atau server kamera mengalami kegagalan sistem. Penelitian ini menggunakan metodologi Network Development Life Cycle (NDLC). Dalam penelitian ini dapat disimpulkan bahwa penggunaan aplikasi Telegram dan Gmail bisa digunakan sebagai alat untuk mendapatkan notifikasi di perangkat telepon pintar. Pengiriman notifikasi dari aplikasi Nagios akan langsung dikirimkan (tanpa penundaan pengiriman) ke Telegram dan Gmail setelah terdeteksi status down / up sedangkan aplikasi Zabbix mengalami penundaan. Tetapi aplikasi Zabbix dapat medeteksi lebih cepat daripada aplikasi Nagios untuk pantauan Host Windows dan IP Kamera.

A Hybrid Method for Inland Ship Recognition Using Marine Radar and Closed-Circuit Television

Vessel recognition plays important role in ensuring navigation safety. However, existing methods are mainly based on a single sensor, such as automatic identification system (AIS), marine radar, closed-circuit television (CCTV), etc. To this end, this paper proposes a coarse-to-fine recognition method by fusing CCTV and marine radar, called multi-scale matching vessel recognition (MSM-VR). This method first proposes a novel calibration method that does not use any additional calibration target. The calibration is transformed to solve an N point registration model. Furthermore, marine radar image is used for coarse detection. A region of interest (ROI) area is computed for coarse detection results. Lastly, we design a novel convolutional neural network (CNN) called VesNet and transform the recognition into feature extraction. The VesNet is used to extract the vessel features. As a result, the MVM-VR method has been validated by using actual datasets collected along different waterways such as Nanjing waterway and Wuhan waterway, China, covering different times and weather conditions. Experimental results show that the MSM-VR method can adapt to different times, different weather conditions, and different waterways with good detection stability. The recognition accuracy is no less than 96%. Compared to other methods, the proposed method has high accuracy and great robustness.

IMAGE ENHACEMENT PADA CITRA GESTUR TANGAN MENGGUNAKAN CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION

Image Enhacement merupakan proses perbaikan kualitas citra yang dilakukan dengan menggunakan beberapa metode. Citra yang paling sering dilakukan perbaikan kualitas adalah citra digital. Citra digital sering digunakan pada pengolahan citra biometrik, pengenalan wajah, pengenalan tanda tangan, bahkan permasalahan pada Closed Circuit Television (CCTV). Penelitian ini bertujuan untuk memberikan perbedaan hasil proses image enhacement pada gambar yang telah tertangkap oleh CCTV. Penelitian ini menggunakan 3 buah metode yaitu, Histogram Equalization (HE), Adaptive Histogram Equalization (AHE), dan Contrast Limited Adaptive Histogram Equalization (CLAHE) untuk melakukan perbaikan citra, sedangkan objek yang akan digunakan pada penelitian ini adalah citra gesture tangan. Dari hasil penelitian ini dapat dilihat bahwa Nilai MSE (Mean Squared Error) yang mendekati angka 0 adalah gambar yang menggunakan metode CLAHE (Contrast Limited Adaptive Histogram Equalization) dengan nilai sebesar 653.5. Untuk nilai PSNR (Peak Signal to Noise Ratio) sendiri nilai yang paling besar yaitu 29.9783476895 dengan menggunakan metode CLAHE.

Design Of Detection System With Motion Sensor And Notification On Android Based On Arduino Microcontroller

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".

Pemanfaatan Notifikasi Telegram Untuk Monitoring Perangkat CCTV Rumah Sakit Orthopaedi Purwokerto

Keamanan merupakan salah satu faktor terpenting dalam sebuah instusi maupun perusahaan. Dengan memanfaatkan teknologi CCTV (Closed Circuit Television) dapat mempermudah pengamanan, pemantauan, serta akses informasi diarea-area tertentu. Permasalahan yang kerap terjadi adalah kurangnya pengawasan perangkat yang tidak dilakukan selama 24 jam. Pengawasan perangkat CCTV oleh teknisi hanya berjalan selama 14 jam yaitu dari jam 8 pagi sampai 10 malam.yang artinya diluar jam tersebut tidak ada pengawasan perangkat CCTV. Maka dari itu perlu adanya upaya untuk memonitor perangkat CCTV jika terjadi kendala yang menyebabkan perangkat tersebut tidak bekerja secara optimal. Penelitian ini bertujuan untuk membuat sistem monitor perangkat CCTV yang bermasalah dengan memanfaatkan notifikasi Telegram Bot secara real time dan membantu teknisi dalam melakukan proses monitoring dan maintenance perangkat CCTV kemudian secara tidak langsung akan membantu perusahaan dalam mencapai target KPI dan melakukan pengawasan kinerja karyawan. Sistem monitoring perangkat CCTV akan mengirimkan notifikasi via aplikasi Telegram yang berisi informasi nama perangkat, ip address perangkat, status perangkat, dan waktu deteksi perubahan status yang nantinya akan dikirimkan langsung ke teknisi untuk proses troubleshooting lebih lanjut

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

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.

Integrated CCTV Surveillance System for Public Transportation

The urban center residential district Railway is one in every of the busiest railway stations in Bharat and carries over seven.5 million commuters daily.The railways spreads over 123.78 km (76.91 mi).The Railways encompass thirty-nine stations.Trains typically begin from and terminate at necessary stations. in line with a survey ,the total stats given by the RPF(Railway Police Force) & GRP(GOVERNMENT RAILWAY POLICE), 2,700 railway commuters killed, over 1,400 whereas crossing tracks up until last and this variety has been increasing daily. This is creating railways a dangerous possibility for travel and transportation.The video closed-circuit television used is irving to be not useful and not updated.To overcome this drawback we tend to area unit creating associate integrated video closed-circuit television for detection of crimes and missed objects and explains during this paper.We area unit exploitation high resolution cameras which might focus and might be simply accustomed establish someone and can also be helpful in dark

Development of the Wits Face Database: an African database of high-resolution facial photographs and multimodal closed-circuit television (CCTV) recordings

Forensic facial comparison is a commonly used, yet under-evaluated method employed in medicolegal contexts across the world. Testing the accuracy and reliability of facial comparisons requires large scale controlled and matching facial image databases. Databases that contain images of individuals on closed-circuit television (CCTV), with matching formal and informal photographs are needed for this type of research. Although many databases are available, the majority if not all are developed in order to improve facial recognition and face detection algorithms through machine learning, with very limited if any measure of standardisation. This paper aims to review the available databases and describe the development of a high resolution, standardised facial photograph and CCTV recording database of male Africans. The database is composed of a total of 6220 standardised and uncontrolled suboptimal facial photographs of 622 matching individuals in five different views, as well as corresponding CCTV footage of 334 individuals recorded under different realistic conditions. A detailed description of the composition and acquisition process of the database as well as its subdivisions and possible uses are provided. The challenges and limitations of developing this database are also highlighted, particularly with regard to obtaining CCTV video recordings and ethics for a database of faces. The application process to access the database is also briefly described.