**Risk Event Recognition**

**Chapter 8**

Provisional chapter

**Intoxication Identification Using Thermal Imaging**

DOI: 10.5772/intechopen.72128

Intoxication Identification Using Thermal Imaging

In this chapter, seven different approaches are presented for identifying persons who have consumed alcohol. The main concept is to identify a drunk person based on the thermal signature of his face. The thermal map of the face changes as the person consumes alcohol due to the increased activity of the blood vessels. The methods are mathematically supported and present high rate of identification success. The experimental material was based on a systematically created database which includes the thermal images of the drunk persons as well as the thermal images of the face of the corresponding sober persons. This database is freely available on the web and can be used by the scientific community. In each method, different features are extracted for intoxication identification. The advantage of the majority of the methods is that drunk identification can be achieved without employing the image of the sober person for comparisons. Accordingly, a commercial system incorporating some of the presented methods does not require the existence of a database with thermal images of sober faces, thus it will be capable to operate on unknown persons. The achieved identification

Keywords: thermal imaging, drunk identification, intoxication inspection, drunk

Intoxication by means of alcohol consumption is a serious and sometimes dangerous condition that a person may fall into as far as its health, security, and the social security are concerned. Citizens have to be trained not to consume alcohol beyond the permissible limit. However, this is a societal problem and has to be encountered by the society and its mechanisms. The material of this chapter is beyond the social component of intoxication. It elaborates on the capabilities of contemporary technology to identify drunkenness and prevent intoxicated persons to be engaged

> © The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and eproduction in any medium, provided the original work is properly cited.

distribution, and reproduction in any medium, provided the original work is properly cited.

© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use,

Georgia Koukiou

Georgia Koukiou

Abstract

1. Introduction

Additional information is available at the end of the chapter

Additional information is available at the end of the chapter

success for each separate method is over 80%.

in dangerous situations, that is, driving or handle critical installation.

database, noninvasive drunk monitoring

http://dx.doi.org/10.5772/intechopen.72128

Provisional chapter
