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Techniques for Detecting and Tracking of Baggages in Airports

机译:机场行李检测与追踪技术

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摘要

The baggage handling system has major impact on the security; especially in the airports. Improving baggage handling systems helps in many ways; to handle baggage in precise ways, to detect presence of explosives, any destructive materials in the baggage for security purposes. There are several technologies already being implemented in the airports. In this paper the different, effective and advanced technologies for detecting and tracking baggages in airports being adopted in the past one and half decade (2000 to 2015) have been studied and being compared. RFID adopts distributed architecture and has advantages like high accuracy, trading of with the cost. The new 3D CT baggage image enhancement algorithm enables to know the contents inside the baggage, providing better security at the airports. Fuzzy system is a low cost high precision system; which also contemplates human role apart from scrutiny of baggage. Though, the complicity in implementing of simulated annealing methodology is less. Emerging technology like Real time smart tracker consumes low power. This study of comparison and assessment of six methodologies for detecting and tracking of baggage's for airport applications helps to select suitable method for the given conditions.
机译:行李处理系统对安全性有重大影响;特别是在机场。改善行李处理系统在许多方面都有帮助;为了安全起见,以精确的方式处理行李,检测爆炸物,行李中的任何破坏性材料的存在。机场已经实施了多种技术。本文研究并比较了过去十年半(2000年至2015年)采用的不同,有效和先进的机场行李检测和跟踪技术。 RFID采用分布式架构,具有精度高,成本低廉的优势。新的3D CT行李图像增强算法使您能够了解行李内的物品,从而在机场提供更好的安全性。模糊系统是一种低成本,高精度的系统;除了仔细检查行李之外,它还考虑了人类的作用。虽然,实施模拟退火方法的复杂性较小。实时智能跟踪器等新兴技术消耗的功率低。这项对用于机场应用的行李检测和追踪的六种方法进行比较和评估的研究有助于为给定条件选择合适的方法。

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