Abstract:
The present method relates to the manual assistance for the automated indexing (100) of a collection of images using facial recognition. In a first automated indexing step, automated indexing of faces within a collection of images is performed, creating sets of faces each of which comprises faces that are determined by the automated process to be representative of the same person. In a second splitting step (200), sets are displayed to an operator, who determines whether there are false-positive associations within a set. If false-positive associations are found, the faces representing different people are manually split into different sets, hi this way, there will be no false-positive associations within the collection of images, hi a third merging step (300), sets that have some' degree of similarity are presented to the operator, who determines whether the two sets comprise representations of the same person. If so, the two sets are manually merged, thereby eliminating false-negative errors. In this way, all of the faces in the image collection can be completely and accurately indexed.
Abstract:
The present method relates to the manual assistance for the automated indexing of a collection of images using facial recognition. In a first automated indexing step, automated indexing of faces within a collection of images is performed, creating sets of faces each of which comprises faces that are determined by the automated process to be representative of the same person. In a second splitting step, sets are displayed to an operator, who determines whether there are false-positive associations within a set. If false-positive associations are found, the faces representing different people are manually split into different sets. In this way, there will be no false-positive associations within the collection of images. In a third merging step, sets that have some degree of similarity are presented to the operator, who determines whether the two sets comprise representations of the same person. If so, the two sets are manually merged, thereby eliminating false-negative errors. In this way, all of the faces in the image collection can be completely and accurately indexed.
Abstract:
A method for the detection of microorganisms in a sample comprising contacting said sample with a biosensor concentration module, allowing microorganisms to grow for a first period of time and detecting growth of discrete microorganisms as an indication of the presence of said microorganisms.
Abstract:
An ergonomic and energy-saving dimmable fluorescent lighting system using a distributed network (138) of lighting controls and control power sources. A plurality of controls (84) share a proportional-response control line (58) with a default value, wherein the control requesting the largest deviation from the default value prevails. Certain controls (124) may additionally share a polling line (126), in which the controls must agree on a value, before it can be requested on the proportional-response control line. Interactions between controls on the network provide for a method to control the total illumination on a scene, including both artificial (94) and natural (96) light, down to the light level where only natural light (96) is present. Unidirectional control nodes (86) allow a first network to exert control on a second network, without affecting the control levels in the first network. Thereby, hierarchical network control can be established. In addition, the method provides for network power to energize the control network (63), derived either from the lighting ballasts (52) or from external network-compliant power sources (192) strategically located in the network. A self-energizing contactor (80) switches power to the lighting system (56).
Abstract:
A method for the detection of microorganisms in a sample comprising contacting said sample with a biosensor concentration module, allowing microorganisms to grow for a first period of time and detecting growth of discrete microorganisms as an indication of the presence of said microorganisms.
Abstract:
The present method relates to the automated indexing of event images for distribution. The automated indexing can use automated facial recognition to determine which people are in each image. The images indexed in this fashion can be presented in a gallery, ordered by characteristics of the people in the images such as their name or room number, so as to facilitate the selection of the images by the people. The identification of the people in the images can be assisted by security or other information regarding the people that may be available to the event manager. Furthermore, the closeness of the relationships of two people can be inferred from the degree to which the people are in the same images, allowing the people in the images to be placed into groups, which can be hierarchical and/or overlapping, and which can assist in the organization of images being presented to the people, either in a gallery or electronic display format.
Abstract:
The present method relates to the automated indexing of event images for distribution. The automated indexing can use automated facial recognition to determine which people are in each image. The images indexed in this fashion can be presented in a gallery, ordered by characteristics of the people in the images such as their name or room number, so as to facilitate the selection of the images by the people. The identification of the people in the images can be assisted by security or other information regarding the people that may be available to the event manager. Furthermore, the closeness of the relationships of two people can be inferred from the degree to which the people are in the same images, allowing the people in the images to be placed into groups, which can be hierarchical and/or overlapping, and which can assist in the organization of images being presented to the people, either in a gallery or electronic display format.
Abstract:
Compositions and methods of preparing functional thin films or surface coatings with low non-specific binding are described. The thin films contain specified functional groups and non-specific binding repellant components. The thin films are either covalently bound to or passively adsorbed to various solid substrates. The specified functional group provides specified activity for the thin film modified solid surfaces and non-specific binding repellant components significantly reduce the non-specific binding to the thin film modified solid surfaces. Non-specific binding repellant components do not affect specified functional group's activity in the thin films. In these methods, specified functional groups are anchored to the solid substrates through a spacer. Surface coatings are also described having both non-specific protein binding properties combined with functional groups for specific binding activity thereby providing surface coating that specifically recognize target proteins but limit binding to non-specific protein.
Abstract:
The present invention relates to detecting a target by moving it into proximity to a surface which has affinity for the target. The movement can involve the use of electrophoresis, which can be enhanced by the presence of oxidizing and reducing reagents, which lowers the voltage at which electrophoretic force can be generated. This lower potential allows a broader range of means by which the target can be detected,including detection during concentration, and the ability to detect multiple times without fixation of the target. A tag can be bound to the target so as to confer movement and/or detectability. The target can be molecules, such as nucleic acid or proteins, and is conveniently microorganisms. When immobilized on the surface, the microorganisms can be identified and grown, allowing the determination of the susceptibility of the microorganisms to various antimicrobial drugs.
Abstract:
Compositions and methods of preparing functional thin films or surface coatings with low non-specific binding are described. The thin films contain specified functional groups and non-specific binding repellant components. The thin films are either covalently bound to or passively adsorbed to various solid substrates. The specified functional group provides specified activity for the thin film modified solid surfaces and non-specific binding repellant components significantly reduce the non-specific binding to the thin film modified solid surfaces. Non-specific binding repellant components do not affect specified functional group's activity in the thin films. In these methods, specified functional groups are anchored to the solid substrates through a spacer. Surface coatings are also described having both non-specific protein binding properties combined with functional groups for specific binding activity thereby providing surface coating that specifically recognize target proteins but limit binding to non-specific protein.