Deception detection system and method

Abstract

A system for detecting deception is provided. The system comprises a camera, an image processing unit, and a notification device. The camera is configured to capture an image sequence of a person of interest. The image processing unit is trained to determine a set of bit planes of a plurality of images in the captured image sequence that represent the hemoglobin concentration (HC) changes of the person, and to detect the person's invisible emotional states based on HC changes. The image processing unit is trained using a training set comprising a set of subjects for which emotional state is known. The notification device provides a notification of at least one of the person's detected invisible emotional states.

Description

technical field [0001] The following generally relates to security, and more specifically to image capture-based systems and methods for detecting deception. Background technique [0002] In recent years, security checks have received relatively high attention from people. Security checks at checkpoints such as border crossings, airport security checkpoints, and entrances to security-sensitive buildings are of particular concern. While it is desirable to provide absolutely thorough security screening, there is a balance between the security screening provided and the overall costs associated therewith. Several major costs for providing security at such checkpoints are: manpower, efficiency, and ultimately usage. [0003] In order to know the threat a person poses, the person may be searched to try to identify the threat, or the person may be brought up for interview. The latter option is usually faster and less intrusive, which leads to less dissatisfied users / customers. ...

AI Technical Summary

Problems solved by technology

As a result, while human training can enable the detection of some deceptions, it is less likely to enable the detection of more egregious cases of deception

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