Abstract
Millions of people lose their lives each year worldwide due to traffic law violations, specifically, over speeding. The existing systems fail to report most of such violations due to their respective flaws. For instance, speed guns work in isolation and cannot measure speed of all vehicles on roads at all spatial points. They can only detect the speed of the vehicle the line of sight of the camera. A solution is to deploy a huge number of speed guns at different locations on the road to detect and report vehicles that are over speeding. However, this solution is not feasible because it demands a large amount of equipment and computational resources to process such a big amount of data. In this paper, a speed detection framework is developed to detect vehicles’ speeds with only two speed guns, which can report speed even when the vehicle is not within the camera’s line of sight. The system is specifically designed for an irregular traffic scenario such as that of Pakistan, where it is inconvenient to install conventional systems. The idea is to calculate the average speed of vehicles traveling in a specific region, for instance, between two spatial points. A low-cost Raspberry Pi (RPi) module and an ordinary camera are deployed to detect the registration numbers on vehicle license plates. This hardware presents a more stable system since it is powered by a low consumption Raspberry Pi that can operate for hours without crashing or malfunctioning. More specifically, the entrance and exit locations and the time taken to get from one point to another are recorded. An automatic alert to traffic authorities is generated when a driver is over speeding. A detailed explanation of the hardware prototype and the algorithms is given, along with the setup configurations of the hardware prototype, the website, and the mobile device applications.
Highlights
The Internet of Things (IoT) is a network of electronic devices that communicate with each other through the Internet [1], sometimes called cyber-physical systems [2]
The present age transportation industry is associated with huge costs from disasters, large numbers of accidents, and injuries that lead to loss of life
This paper develops an IoT-based vehicle speed monitoring system that can provide efficient results in an overcrowded and irregular traffic environment such as Pakistan’s traffic situation
Summary
The Internet of Things (IoT) is a network of electronic devices (usually referred to as things in this context) that communicate with each other through the Internet [1], sometimes called cyber-physical systems [2]. Cameras integrated with Raspberry Pi (RPi) modules, along with deep-learning analytical tools and image processing algorithms, can gather information and make predictions and decisions that will make roads safer Building such an IoT-based, intelligent, average speed–monitoring system has a range of advantages, including improving road conditions, reducing and managing costs, and increasing reliability and protections in traffic. The technology is critical for Pakistan’s chaotic traffic where the conventional traffic monitoring system cannot be applied due to two main reasons: (1) continuous supply of power issues and (2) the highly irregular patterns in the traffic These two issues restrict the existing methodologies to be applied in Pakistan and needs a robust system that can continuously check the speed of the vehicle irrespective of its trajectories even when the power is cut off for a period.
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