Tailgating and reverse entry detection, alarm, recording and prevention using machine vision
First Claim
1. A method for detecting a tailgating event in regard to security of a controlled access area, comprising:
- (a) acquiring one or more stereoscopic images of an area of observation;
(b) analyzing the one or more images using a machine vision processing system to identify and classify a first object in the area of observation, said first object having supplied an authorization with respect to the controlled access area, and further using the machine vision processing system to identify and classify a second object in the area of observation; and
(c) applying one or more access control rules to the information obtained from the image analysis to determine whether the second object is attempting to breach the controlled access area by utilizing the authorization supplied by the first object in violation thereof.
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Abstract
Unauthorized entry into controlled access areas using tailgating or reverse entry methods is detected using machine vision methods. Camera images of the controlled area are processed to identify and track objects in the controlled area. In a preferred embodiment, this processing includes 3D surface analysis to distinguish and classify objects in the field of view. Feature extraction, color analysis, and pattern recognition may also be used for identification and tracking of objects. Integration with security monitoring and control systems provides notification when a tailgating or reverse entry event has occurred. More reliable operation in practical circumstances is thus obtained, such as when multiple people are using an entrance or exit under variable light and shadow conditions. Electronic access control systems may further be combined with the machine vision methods of the invention to more effectively prevent tailgating or reverse entry.
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Citations
80 Claims
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1. A method for detecting a tailgating event in regard to security of a controlled access area, comprising:
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(a) acquiring one or more stereoscopic images of an area of observation;
(b) analyzing the one or more images using a machine vision processing system to identify and classify a first object in the area of observation, said first object having supplied an authorization with respect to the controlled access area, and further using the machine vision processing system to identify and classify a second object in the area of observation; and
(c) applying one or more access control rules to the information obtained from the image analysis to determine whether the second object is attempting to breach the controlled access area by utilizing the authorization supplied by the first object in violation thereof. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
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35. A method for detecting unauthorized passage of an object in regard to security of a controlled access area having a designated access point, comprising:
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(a) acquiring one or more stereoscopic images of an area of observation associated with the designated access point;
(b) analyzing the one or more images using a machine vision processing system to identify and classify an object in the area of observation, and further to determine the direction of motion of the object with respect to the designated access point; and
(c) applying one or more access control rules to the information obtained from the image analysis to determine whether the object is attempting to breach the controlled access area by using the designated access point in violation of the security of the controlled access area. - View Dependent Claims (36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66)
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67. An apparatus for detecting a security violation with respect to a controlled access area, comprising:
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(a) a stereoscopic imaging device for acquiring one or more stereographic images of an area of observation; and
(b) a machine vision processing system in communication with the stereoscopic imaging device to receive the one or more images, the machine vision processing system being further configured to analyze the one or more images to identify and classify an object in the area of observation, and apply one or more access control rules to determine whether the object is attempting to breach the controlled access area in violation of security of the controlled access area. - View Dependent Claims (68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80)
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Specification