scholarly journals Road Traffic Monitoring System

Nowadays, the Congestion in traffic is one of the major issues in many cities. There are different causes of congestion in road traffic like capacity of the lane is insufficient, more demand, large delays in signals, increase the number of vehicles etc. As populations are growing, it is difficult to manage the traffic on the roads and also the people has to wait for the green signal for a long time as it is not depend on the density of traffic in the real time. This paper presents the method to find the density of the traffics in each signal by using camera and sensors. According to the vehicle density on road, the decisions are made to switch the traffic lights to red or green. As the result it will reduce the traffic on roads which will help to reduce the accidents

2020 ◽  
Vol 10 (2) ◽  
pp. 175
Author(s):  
Nomensen Freddy Siahaan

After a long time was not heard to the public area, lately death penalty toward the criminal cases that classified as extraordinary crime are appear. The author discovers electronic article about the execution of the death penalty which is the prosecutor prepares to execute death penalty toward the drugs dealer. The president of Republic of Indonesia stated that it is necessary to give a deterrent effect to the convicted  criminal and keep the morality of Indonesian teenagers. According to my opinion, the author argues that it will be better and wiser if we discuss about renovating all of the Penitentiary in Indonesia than debating whether death penalty could be done in Indonesia or not, because it will be displeasure many parties, death penalty infringed the human rights of the convicted criminals and cause psychological burden to them, families, the executor of the death penalty, and other parties. Because if we have to improve the quality of the Penitentiary, if the function of Penitentiary for fostering moralily has been optimal or properly enough to the convicted criminals, Indonesia will be no longer need the death penalty option as sanction to the convicted crimanals including for the extraordinary crime (especially for drugs trafficking in our country). Penitentiary is one of the public services which aims for fostering the people that initially have bad habits (commited to the crime), so that they will have the awareness to change their bad attitude into the be better ones, will not harm others, and positively contributed to the society. Already Penitentiary’s conditions should be designed in such a way and as good as possible, so that the inmates feels like at their own home (like having a second home after his own home), and feel humaner to spend their days in the Penitentiary. The author believes that if the Penitentiary has been improved and optimized its function well, then the real purpose of Penitentiary will definitely achieved. As stated in Law Number 12 Year 1995 regarding to Penitentiary Article 2 which states "sanction system are organized in order to fostering the convicted criminals in order to be the real man, aware of their fault, improve themselves, and not to repeat the criminal act so that they can be friendly received by the community, can actively participated in the development of our country, and can socialize themselves as good citizen."Article 3 on this regulation also intensifies the function of Penitentiary "the function of Penitentiary is to prepare convicted criminals to be able to properly integrated to the society, so they can be accepted again as members of the public who are free and responsible ones." 


Author(s):  
M. Baskar ◽  
J. Ramkumar ◽  
C. Karthikeyan ◽  
V. Anbarasu ◽  
A. Balaji ◽  
...  

2014 ◽  
Vol 1003 ◽  
pp. 249-253
Author(s):  
Hao Fang ◽  
Ai Hua Li ◽  
Yan Fei Liu

To solve the difficulty of traditional video monitoring system in system upgrade and expansion, an solution of embedded video monitoring system based on DaVinci technology was put forward in this paper. By building the monitoring platform by DM6437 and DSP/BIOS in the solution, TVP5151 was used for receiving video signal in PAL/NTSC formats, and an JPEG Baseline Profile Encoder was integrated for video encoding, and the 10/100M Ethernet transmission function was realized based on NDK. Finally, the system is tested and the result shows that the system can capture and transmit D1 format signal in 25f/s and met the real-time requirement. At the same time, the system is easy to use and expand with a bright application prospect.


Author(s):  
Chi-Yat Lau ◽  
Man-Ching Yuen ◽  
Ka-Ho Yueng ◽  
Cheuk-Pan Fan ◽  
On-Yi Ko ◽  
...  

2013 ◽  
Vol 6 (4) ◽  
Author(s):  
Omar Ariosto Niño Prieto ◽  
Luis Enrique Colmenares-Guillén ◽  
Edilberto Huerta Niño ◽  
Aldo Enrique Aguila Jurado

2020 ◽  
Vol 12 (21) ◽  
pp. 9177
Author(s):  
Vishal Mandal ◽  
Abdul Rashid Mussah ◽  
Peng Jin ◽  
Yaw Adu-Gyamfi

Manual traffic surveillance can be a daunting task as Traffic Management Centers operate a myriad of cameras installed over a network. Injecting some level of automation could help lighten the workload of human operators performing manual surveillance and facilitate making proactive decisions which would reduce the impact of incidents and recurring congestion on roadways. This article presents a novel approach to automatically monitor real time traffic footage using deep convolutional neural networks and a stand-alone graphical user interface. The authors describe the results of research received in the process of developing models that serve as an integrated framework for an artificial intelligence enabled traffic monitoring system. The proposed system deploys several state-of-the-art deep learning algorithms to automate different traffic monitoring needs. Taking advantage of a large database of annotated video surveillance data, deep learning-based models are trained to detect queues, track stationary vehicles, and tabulate vehicle counts. A pixel-level segmentation approach is applied to detect traffic queues and predict severity. Real-time object detection algorithms coupled with different tracking systems are deployed to automatically detect stranded vehicles as well as perform vehicular counts. At each stage of development, interesting experimental results are presented to demonstrate the effectiveness of the proposed system. Overall, the results demonstrate that the proposed framework performs satisfactorily under varied conditions without being immensely impacted by environmental hazards such as blurry camera views, low illumination, rain, or snow.


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