Patent classifications
G08B15/007
Security system for identifying disturbances in a building
A security system that includes a camera, a monitor, and a storage compartment for a defensive instrument installed in a room in a building. The storage compartment is associated with a camera that can record video and audio of occurrences or happenings in the room. The storage compartment is configured to communicate with a mobile device via a communications protocol and is electronically associated with at least two activation mechanisms: one that is activated for non-emergency situations, and another that is active for emergency situations. In both cases, the camera is direct to record video and audio of the situation, but in the emergency situation, the camera transmits the video and audio to other parts of the building to provide individuals located therein with real time information regarding the emergency situation. The second activation mechanism further provides access to a defensive instrument that is located in the storage compartment.
ACTIVE INTRUDER MITIGATION SYSTEM AND METHOD
A life safety system for mitigating injuries and fatalities to occupants of a multi-zone structure comprising a plurality of controllers, and coupled to said controller, a plurality of digital imaging devices, a plurality of locking mechanisms, a plurality of dispersion points for the dispersion of at least one dispersible substance, and optionally a plurality of thermostatic members, the foregoing communicatively connected to an intelligent video analysis system. The life safety system further comprises at least one monitoring location physically removed from at least one of said controllers and from at least one of said dispersion points and from at least one of said locking mechanisms and from at least one of said thermostatic members.
Security system for identifying disturbances in a building
A security system that includes a camera, a monitor, and a storage compartment for a defensive instrument installed in a room in a building. The storage compartment is associated with a camera that can record video and audio of occurrences or happenings in the room. The storage compartment includes at least two activation mechanisms: one that is activated for non-emergency situations, and another that is active for emergency situations. In both cases the camera is direct to record video and audio of the situation, but in the emergency situation, the camera also transmit the video and audio to other parts of the building to provide individuals located therein with real time information regarding the emergency situation. The second activation mechanism further provides access to a defensive instrument that is located in the storage compartment.
LONG-TAIL LARGE SCALE FACE RECOGNITION BY NON-LINEAR FEATURE LEVEL DOMAIN ADAPTION
A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.
LONG-TAIL LARGE SCALE FACE RECOGNITION BY NON-LINEAR FEATURE LEVEL DOMAIN ADAPTION
A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.
LONG-TAIL LARGE SCALE FACE RECOGNITION BY NON-LINEAR FEATURE LEVEL DOMAIN ADAPTION
A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.
LONG-TAIL LARGE SCALE FACE RECOGNITION BY NON-LINEAR FEATURE LEVEL DOMAIN ADAPTION
A computer-implemented method, system, and computer program product are provided for facial recognition. The method includes receiving, by a processor device, a plurality of images. The method also includes extracting, by the processor device with a feature extractor utilizing a convolutional neural network (CNN) with an enlarged intra-class variance of long-tail classes, feature vectors for each of the plurality of images. The method additionally includes generating, by the processor device with a feature generator, discriminative feature vectors for each of the feature vectors. The method further includes classifying, by the processor device utilizing a fully connected classifier, an identity from the discriminative feature vector. The method also includes control an operation of a processor-based machine to react in accordance with the identity.
Active intruder mitigation system and method
A life safety system for mitigating injuries and fatalities to occupants of a multi-zone structure comprising a plurality of controllers, and coupled to said controller, a plurality of digital imaging devices, a plurality of locking mechanisms, a plurality of dispersion points for the dispersion of at least one dispersible substance, and a plurality of thermostatic members. The life safety system further comprises at least one monitoring location physically removed from at least one of said controllers and from at least one of said dispersion points and from at least one of said locking mechanisms and from at least one of said thermostatic members.
Systems and Methods for Presenting Security Questions via Connected Security System
The various implementations described herein include methods, devices and systems for detecting trigger events and executing security protocols. In one aspect, a method is performed at a server system that is coupled to a smart device system and a client device, the smart device system located at a premises. The server system: (1) detects an unverified user within the premises based on data collected by the smart device system, wherein the data is communicated to the server system via the wide area networks; (2) provides a notification regarding the unverified user to authorized users via the wide area networks; (3) receives, from a first authorized user, a first user input in response to the notification; and (4) in response to receiving the first user input, executes a security operation at the premises based on the first user input.
Security, monitoring and safety system with containment and method of use
A safety enclosure, detention, and surveillance system with a walled enclosure with impact resistant walls, an entrance door and exit door located in an inner scanning chamber, a storage chamber located in inner scanning chamber, an x-ray metal detector with a conveyor belt, a walkthrough metal detector, a gas ionization explosives detector, and a weapons depository unit. The inner storage chamber further contains an air conditioning unit and a sedation material unit for storage and release with ports to access the inner scanning chamber by which the sedation dispenser can pump sedation material from the storage chamber into the inner scanning chamber and render a threat incapacitated.