Improvisation in current weather display system

ABSTRACT. Presently the current weather information at four International Airports in India is being provided to air traffic control units through a Close Circuit Television (CCTV) system. The meteorological assistant who sits in the control tower obtains the information from various panels in front of him, prepares the display card by filling values of various parameters and then displays it through CCTV system. This method of display is outdated and lacks quality. Two improved computer based display systems have been developed at Meteorological Office. Palam. These systems greatly improve the quality of display presentation. These can also be used to extend the current weather display system to distant users like, International Airlines offices. One of the system is under test at the Meteorological Office, Palam, Terminal and working satisfactorily. A remote extension of this display system is also working at international Meteorological Office at Terminal II which is 10 km away from the main office at Terminal I.

Surveillance in the COVID-19 Normal

The COVID-19 pandemic has accelerated the adoption of surveillance technologies in cities around the world. The new surveillance systems are unfolding at unprecedented speed and scale in response to the fears of COVID-19, yet with little discussion about long-term consequences or implications. The authors approach the drivers and procedures for COVID-19 surveillance, addressing a particular focus to close-circuit television (CCTV) and tracking apps. This paper describes the technologies, how they are used, what they are capable of, the reasons why one should be concerned, and how citizens may respond. No commentary should downplay the seriousness of the current pandemic crisis, but one must consider the immediate and longer-term threats of insinuated enhanced surveillance, and look to how surveillance could be managed in a more cooperative social future.

Crowd Monitoring and Localization Using Deep Convolutional Neural Network: A Review

Crowd management and monitoring is crucial for maintaining public safety and is an important research topic. Developing a robust crowd monitoring system (CMS) is a challenging task as it involves addressing many key issues such as density variation, irregular distribution of objects, occlusions, pose estimation, etc. Crowd gathering at various places like hospitals, parks, stadiums, airports, cultural and religious points are usually monitored by Close Circuit Television (CCTV) cameras. The drawbacks of CCTV cameras are: limited area coverage, installation problems, movability, high power consumption and constant monitoring by the operators. Therefore, many researchers have turned towards computer vision and machine learning that have overcome these issues by minimizing the need of human involvement. This review is aimed to categorize, analyze as well as provide the latest development and performance evolution in crowd monitoring using different machine learning techniques and methods that are published in journals and conferences over the past five years.

The Effect of Behind-The-Scenes Encounters and Interactive Presentations on the Welfare of Captive Servals (Leptailurus serval)

The serval (Leptailurus serval) is a small African felid that is well represented in zoos and often serves as an animal ambassador in encounter programs with zoo visitors. The impact on serval welfare in relation to such programs has not been investigated to date, and the aim of this study was to assess short-term welfare effects of varying levels of visitor interaction in two captive servals. Weekly blocks of four different treatments were imposed three times on each animal over 12 weeks, and the treatments involved (1) Presentations (serval undertaking a routine training session in a designated presentation space, typically attracting high visitor numbers), (2) Behind-the-scenes (BTS, a close encounter allowing a small group of visitors to interact closely with the cat in its enclosure), (3) Presentations and BTS combined, and (4) No visitor interaction. Serval activity budgets as well as behavioural diversity were created from behaviours observed from Close Circuit Television (CCTV) footage during four daily recording sessions per animal over three consecutive days per treatment, using instantaneous scan sampling every 60 s. Individual faecal samples were collected daily to monitor changes in faecal glucocorticoid metabolite (FGM) concentration. Results indicate that the mean number of scans with stereotypic pacing was significantly reduced (p = 0.01) during Treatments 1 and 3, when cats participated in presentations only, or the two activities combined. Conversely, a significant reduction in behavioural diversity (p < 0.001) was observed when cats participated in Treatment 3, i.e., cats expressed fewer behaviours when interaction with visitors was more frequent. FGM concentrations did not vary significantly with treatment (p > 0.05). Given the reduction in stereotypic pacing, these findings suggest that involvement in an encounter program appears to exert an overall positive short-term welfare effect on the individual servals in this study. Although a reduction in behavioural diversity was not considered a negative welfare effect in the short term, potential long-term negative welfare effects resulting from a more frequent encounter program could not be ruled out in the present study.

ANALISIS YURIDIS TERHADAP CCTV (CLOSE CIRCUIT TELEVISION) SEBAGAI BARANG BUKTI I PERSIDANGAN

Peristiwa-peristiwa hukum menjadi masalah dalam kehidupan sehari-hari yang menjadi ancaman kepada orang maupun sekelompok orang dalam menjalani kehidupan bermasyarakat. Teknologi hadir untuk membantu pengaturan hukum untuk membuat pelaku kejahatan mendapatkan efek jera. CCTV (Close Circuit Television) hadir untuk membantu menjadi pengawas untuk membantu negara dalam mengawasi kehidupan sehari-hari. Terlebih lagi sekarang CCTV telah membantu dalam pembuktian pidana untuk membantu mencari pelaku kejahatan yang tujuan nya untuk mempercepat pencarian pelaku dan mencari barang bukti apa yang dibawa oleh pelaku.

The effect of public surveillance cameras on crime clearance rates

Much research has examined the crime reduction benefits of public close-circuit television (CCTV) cameras, suggesting that cameras may not deter enough crime to justify their cost. Another benefit of CCTV though is its utility in investigations and in clearing cases, which has been much less studied. Using a sample of public crimes and case clearances in Dallas, Texas, we examine the efficacy that public CCTV cameras increase case clearance rates using a pre-post research design. We find that cases closer to cameras did have an increased clearance rate after the cameras were installed in Dallas. But the effects faded quite quickly in space, and were mostly limited to thefts. While our estimates here suggest the cameras are likely not cost-effective in this sample in terms of increasing clearances, it suggests there is potential to be more targeted in camera placement that might provide better justification for their (limited) use.

A Study on Improvement of Blockchain Application to Overcome Vulnerability of IoT Multiplatform Security

IoT devices are widely used in the smart home, automobile, and aerospace areas. Note, however, that recent information on thefts and hacking have given rise to many problems. The aim of this study is to overcome the security weaknesses of existing Internet of Things (IoT) devices using Blockchain technology, which is a recent issue. This technology is used in Machine-to-Machine (M2M) access payment—KYD (Know Your Device)—based on the reliability of existing IoT devices. Thus, this paper proposes a BoT (Blockchain of Things) ecosystem to overcome problems related to the hacking risk of IoT devices to be introduced, such as logistics management and history management. There are also many security vulnerabilities in the sensor multi-platform from the IoT point of view. In this paper, we propose a model that solves the security vulnerability in the sensor multi-platform by using blockchain technology on an empirical model. The color spectrum chain mentioned in this paper suggests a blockchain technique completed by using the multiple-agreement algorithm to enhance Thin-Plate Spline (TPS) performance and measure various security strengths. In conclusion, we propose a radix of the blockchain’s core algorithm to overcome the weaknesses of sensor devices such as automobile, airplane, and close-circuit television (CCTV) using blockchain technology. Because all IoT devices use wireless technology, they have a fundamental weakness over wired networks. Sensors are exposed to hacking and sensor multi-platforms are vulnerable to security by multiple channels. In addition, since IoT devices have a lot of security weaknesses we intend to show the authentication strength of security through the color spectrum chain and apply it to sensor and multi-platform using Blockchain in the future.

RANCANG BANGUN CLOSE CIRCUIT TELEVISION SECARA NIRKABEL MENGGUNAKAN ZIGBEE 2,4GHZ

CCTV (Close Circuit Television) merupakan sistem keamanan yang popular menggunakan kamera pengawas. Namun pada saat ini masih memiliki beberapa kelemahan, diantaranya terdapat pada media transmisi video masih menggunakan kabel dan cara perekaman gambar yang masih menggunakan metode manual. Sistem pemantau video secara nirkabel merupakan perpaduan beberapa komponen, berupa Zigbee/Xbee yang merupakan komponen komunikasi data nirkabel, sensor gerak PIR (Passive Infra Red) sebagai pendeketeksi gerakan, dan Arduino MEGA2560 yang berfungsi sebagai perangkat yang menghubungkan antara pengguna dan jaringan Zigbee/Xbee dan terhubung dengan perangkat lunak pada PC sehingga dapat melakukan pengiriman data secara nirkabel dan dapat merekam data secara otomatis jika ada gerakan yang terdeteksi.

APPLICATION OF THERMAL IMAGING IN FORENSIC VISION

The thermal imaging camera is a new emerging tool in forensic visionary technology for seeing in total darkness and takes an image of heat radiation from an object in diverse weather condition like rain, fog and smoke etc. The normal close circuit television (CCTV) cameras are blinded by the sun resulting they do not see too much in total darkness. All objects, regardless of temperature, emit some level of energy. IR cameras have the unique ability to capture this information and display it in a thermal image to be viewed and analyzed. This paper describes some of science behind this technology and its application.