基于RFID的驾驶员资格与汽车安全图像识别研究进展

S. Malathi, J. Preethi
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引用次数: 2

摘要

在当今世界,汽车交通工具的使用一直在迅速增加。在道路运输过程中,无合法身份的成年人参与其中,导致交通事故的发生,已成为我国社会普遍关注的问题。世界卫生组织调查了交通事故,印度的死亡率最高,每10万人中有16.6人死亡,其中泰米尔纳德邦十年来的道路交通事故数量最多,金奈是印度交通事故最多的城市。基于事故和汽车盗窃的场景,设计了各种技术来降低事故率和识别平均汽车盗窃。许多研究者利用克隆选择算法、人工鱼群算法、智能汽车安全系统等最新技术采取了多种安全措施。车牌号码的识别在识别汽车盗窃案中起着重要的作用。本文详细介绍了各种技术,通过这些技术可以检测汽车的盗窃行为,并控制事故率。
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A Review on RFID based Image recognition for Driver Eligibility and Car Security
In the current world, the usage of car transportation has been increasing rapidly. Adults without proper identity are involved in road transportation, which leads to accidents and becomes a significant concern in our country. World Health Organization surveyed traffic collisions, India has the highest fatality rate of 16.6 per 100,000 people of which Tamil Nadu has more number of road collisions for a decade, and Chennai has more crashes in India than any other city. Based on the scenario of accidents and car thefts, various technologies have been designed for reducing the accident rate and also for identifying the car theft on average. Many researchers take several safety measures with recent technologies such as the clonal selection algorithm, artificial fish swarm algorithm, and intelligent car security system. Recognition of numbers in the license plate plays a significant role in identifying the car theft. This paper describes a detailed review on various technologies through which burglary of the car can be detected, and the rate of accidents can also be controlled.
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