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Recent developments of image processing to improve explosive detection methodologies and spectroscopic imaging techniques for explosive and drug detection

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Abstract

The use of explosive materials by terrorists for mass killing, creating chaos and producing threat to people initiated the research for developing the techniques and equipments which can detect explosives. Recently a vehicle borne suicide bomber attacked CRPF convoy at Lethpora in Pulwama district in India on 14th February 2019, which killed 40 CRPF personnel. From decades, real-time detection and identification of traces of explosives at a standoff distance has been an ongoing challenge and critical problems in public safety, defense and counter terrorism. A number of methods has been successfully developed and used commercially and by defense which involves fluorescence quenching sensor, colorimetric kits and ion mobility spectrometers. While several methods are under investigation for explosive trace detection. The ideal trace detection of explosives is which can detect traces from a standoff distance and ensures personnel safety. This paper provides study of explosive detection methods, standoff spectroscopy based methods, LIBS and compares the existing methods for trace detection. Also the paper provides review of world’s smallest drone made by Israel (Spectrodrone) which can sniff explosives and drugs from 2.8 km.

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Correspondence to Digvijay Pandey.

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Sharma, M., Sharma, B., Gupta, A.K. et al. Recent developments of image processing to improve explosive detection methodologies and spectroscopic imaging techniques for explosive and drug detection. Multimed Tools Appl 82, 6849–6865 (2023). https://doi.org/10.1007/s11042-022-13578-5

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