International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 06 | June 2022
p-ISSN: 2395-0072
www.irjet.net
Detection of Zebra Crossing Violation by Automotive using IoT automation Aishwarya G1 1,2Dr
Bhavanishankar K, Dept. of CSE, RNS Institute of Technology, Karnataka, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The Internet of Things (IoT) is a new paradigm
routinely ignored by motorists and cyclists. The process of identifying such offenders can be automated, and appropriate warnings and sanctions can be provided, avoiding manual detection and intervention in such violations. Apart from people's unwillingness to follow the rules, it's also worth noting that crossing highways at random is dangerous and can result in untimely and unexpected fatalities. So, in order to give a straightforward answer to this day-to-day and vexing problem, this study presents an automated method that takes into account a few key characteristics.
that has shifted people's lifestyles from traditional to hightech. IoT has brought about changes such as smart cities, smart homes, pollution management, energy conservation, smart transportation, and smart industries. The number of road users, especially those who use automobiles, is steadily expanding. In order to guarantee traffic safety, these users must adhere to all road markings. However, there are still a lot of traffic offences. Pedestrian Crossing is getting more inconvenient and dangerous these days in spite of proper traffic signaling. This rule is not followed by the drivers/riders quite often. To avoid manual identification and intervention in such violations, the process of identifying such violators can be automated and necessary warning, penalizing can appropriately take place. In this study, we will investigate how vehicles can avoid violations by not crossing the zebra crossing line by automating the entire process. This study involves the automating the entire process by using different sensors such as IR sensor, Raspberry pi etc. As a result, we can analyze how the model works effectively in all the given conditions.
2. BACKGROUND STUDY The field of traffic control system has gotten a lot of attention throughout the years. One such project was completed in 2013; the system has the potential of checking for vehicle violations of traffic rules, including how a red light should never cause an automobile to cross the zebra crossing line. Some of the initiatives where the automation's main objective was to create a system that was safe for them also included work on disabled persons, especially blind passengers. Using bipolarity segmentation and projective invariant-based recognition, similar work has been done for blind people. The majority of embedded system research has used genetic algorithms, and genetic algorithms are regarded to be the next step in program evolution.
Key Words: IoT, Zebra Crossing Violations, Raspberry Pi, traffic safety
1. INTRODUCTION Traffic control systems around the world are becoming increasingly technology-oriented in the twentyfirst century, and the advancement of such technology has reached the point of automation. Having said that, the automation process is only limited to wealthy countries or a few developing ones. It goes without saying that orienting and controlling traffic is a difficult work for a human to focus on 24 hours a day, seven days a week, and should be managed by automated systems for the best results. Despite their reliance on technology, many emerging and impoverished countries continue to rely heavily on the physical and tactical services of traffic management professionals. Despite good traffic signalling, traffic offenses are increasing on a daily basis.The knowledge gained in schools and high school education, driving schools, and repeated pleas by traffic cops are all being thrown out due to a lack of civic consciousness. The thumb rule reads, "When the signal for motor vehicles is RED, they are required to halt their automobiles, and especially the vehicles in the front row, should stop before zebra crossing”. This rule is
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Road traffic monitoring has become a popular subject in statistical computing research, and it was one of the sources of inspiration for this thesis. The effort of automatically finding inaccessible walkways using Google street view, however, has inspired the most.
3. PROPOSED MODEL The proposed system had to be correctly scaled before being implemented in a real-world setting in order for it to produce the perfect output in a controlled environment. A tiny model has been made for the prototype that was developed to demonstrate the system's capabilities and potential. Fig shows the block diagram of the model.
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