Patent classifications
G08B17/125
SMART FIRE DETECTION SYSTEM
A method for mitigating a potential security issue with one or more electric and gas cooking appliances equipped with a power interrupt circuit and capable of receiving a wireless signal operated in a monitored space includes conducting video and or audio surveillance of the cooking equipment and the surrounding monitored space using a surveillance device having wireless communications capability, where upon detection of anomaly characterized as motion, sound, or other interference that may be defined by the surveillance device as a security issue, conducting analysis of the data in comparison with archived data to disqualify or qualify the anomaly as a security issue, whereupon qualifying the anomaly detected and analyzed as a security threat, sending a wireless command to the power interrupt circuit to interrupt electric power flow to the one or more electric cooking appliances.
Smart kitchen monitoring system and methods
A smart kitchen solution can help reduce fires in home kitchens by permitting a user to see, on a portable electronic device, whether a stove was left on or if there is an unexpected elevated temperature on the kitchen stove. Such an unexpected elevated temperature may be detected if the stove if left on without a pan on the stove, if the contents of a pan has boiled out of a pan, or if the stove is on at certain hours of the day, such as at night. The solution can include motion detectors, audible alerts, voice alerts and optional shutdown mechanisms to remotely turn off a stove. The system can include further options, such as built in fire extinguishing materials, arm and disarm features, various mounting capabilities and the ability to interact with a digital assistant, such as Google Home, Alexa, or the like.
APPARATUSES, COMPUTER-IMPLEMENTED METHODS, AND COMPUTER PROGRAM PRODUCTS FOR ACCURATE EXPLOSION PREDICTING AND WARNING
Embodiments utilize captured data, such as gas data and/or flame/heat data, from sensors in an environment to generate a data-constructed image for use in predicting explosion likelihood within an environment. Some embodiments utilize gas and flame data to generate the data-constructed image that is processable via one or more model(s) to determine whether the environment includes one or more sub-regions at risk of explosion. Some embodiments receive a plurality of gas sensor data and a plurality of flame sensor data, generate a data-constructed image including a plurality of channels based at least in part on such data, and generate explosion prediction data by applying at least a portion of the data-constructed image to a prediction model.
Virtual sensors
Virtual sensor technology, in which a camera is controlled to capture at least one configuration image of an area monitored by a monitoring system and input is received that defines one or more characteristics of the at least one configuration image that enable sensing of an event in the area. Based on the received input, configuration data used in sensing the event is generated and stored. After storage of the configuration data, the camera is controlled to capture one or more images of the area, the one or more images are analyzed based on the configuration data, and occurrence of the event is detected based on the analysis of the one or more images. Based on detecting occurrence of the event, a transmitting device is controlled to send, to a controller of the monitoring system, a signal that indicates the detection of the occurrence of the event.
Web server based 24/7 care management system for better quality of life to alzheimer, dementia,autistic and assisted living people using artificial intelligent based smart devices
A web server based system for 24/7 managed care services to clients with Alzheimer, Autism, and assisted living is provided in the invention. The system uses intelligent digital camera with built in AI algorithms to monitor client's activities, uses voice recognition, and two way voice communication and thus requires no body wearing devices. The camera detects client's movementssuch as sitting, lying, and fallsand generates appropriate alarms to a central server for a client assistance operator to act. The smarts in the camera can analyze client's vicinity to pre stored scenes, client's emotion and generate alerts to the client assistant operator. The system uses an intelligent digital client assistant device with built in smarts for speaker independent voice recognition to provide client access to entertainment, e-commerce, and other voice activated services. The system in the invention uses a drone to monitor remotely movement of the client in case it leaves premises without informing a caregiver. The drone pilot monitors the movement and informs local authority to assist the client. The web server allows all managed care services needed to provide a good quality of life to the clients while monitoring their well-being and safety and relieves burden on the caregiver. The system in the invention allows clients remote virtual office visit to a physician, and monitors client's vehicle movement if client drives away from home. The system can also be used in other security related applications.
Confined space failsafe access system
A method and safety device for use in accessing confined spaces that incorporates atmospheric safety monitoring and alarm annunciation into a physical access device/mechanism for the purpose of preventing the human confined space entrant from entering a confined space containing a hazardous atmosphere.
FLAME DETECTION SYSTEM, REPORTING SYSTEM, FLAME DETECTION METHOD, AND NON-TRANSITORY STORAGE MEDIUM
A flame detection system includes a determiner and an outputter. The determiner is configured to, when image processing performed on image data detects ultraviolet light, determine that a light emitting source is a fire flame. The outputter is configured to output a determination result by the determiner.
METHOD AND SYSTEM FOR MONITORING FIRE
Provided is a fire detection method and system, which includes: a video monitoring step of performing real-time video monitoring on a set surveillance space and/or surveillance area; a fire detection step of detecting a fire sign on the basis of analysis of video data; a control step of supporting a control person using a display means to make a decision on whether or not a fire has occurred; a control supplement step of supporting a control supplement function for improving accuracy of the decision-making; a remote control supplement step of supplementing the decision-making on whether or not a fire has occurred by way of remote support in a situation where there is no response from a control person within a set time; and a fire notification step of performing fire notification and warning in a surveillance space and/or a surveillance area where occurrence of fire has been confirmed.
Smoke detection enclosure for recessed installment
An improved smoke detection enclosure for recessed installment is disclosed herein. A smoke detector for recessed installment can comprise a housing, a printed circuit board (PCB), a bottom cover, and a plurality of clips. The housing can be capable of being installed within a surface. The printed circuit board (PCB) can comprise one or more smoke detection systems. The PCB can be mounted within the housing such that upon installation into a surface, the PCB is approximately at the surface. The bottom cover can extend beyond edges of the housing to form a surface lip. The surface lip can be capable of interacting with a first side of the surface. The bottom cover can comprise one or more air vents, each of the one or more air vents can be placed directly underneath of each of the one or more smoke detection systems.
System and method for detecting smoke using a photoelectric sensor
A system and method for detecting smoke using a photoelectric sensor is disclosed herein. The smoke detector can comprise a photoelectric smoke detection system, a smoke detector memory, and a microprocessor. The photoelectric smoke detection system can comprise a low-frequency light source, a high-frequency light source, and a light sensor. The smoke detector memory can comprise a smoke detector application, a plurality of low-frequency smoke signatures, and a plurality of high-frequency smoke signatures. Each of the low-frequency smoke signatures can relate to how a low-frequency light interacts with one of a plurality of particulates. Each of the high-frequency smoke signatures can relate to how a high-frequency light interacts with one of the plurality of particulates. Each of the particulates can be indicative or non-indicative of a fire.