A platform comprises one or more sensors that collect information about an environment as sensor data. A processor is in communication with the one or more sensors, wherein the processor executes enhancement engines that processes the sensor data into enhanced characterization data having a reduced amount of data compared to the sensor data. An output device electronically communicate the enhanced characterization data to a user, wherein the sensor and the output device comprise an assisted perception module worn by the user during an incident. A command interface device remote from the user to enable a person of authority to manage the incident and the user by receiving and displaying the enhanced characterization data, and by transmitting data and commands back to the assisted perception module.

Disclosed is a fire protection device (1) having at least one high-resolution detection unit (2, 3) which is configured to monitor a space for a fire event and to output a video data signal. The at least one high-resolution detection unit (2, 3) includes a wide-angle lens (4) with a detection angle equal to or greater than 100 degree to at least partially cover the space or a specific region of the same. Furthermore, the fire protection device has at least one movable extinguishing unit (100) configured to discharge an extinguishing agent to a location within the space in which a fire event is monitored by the at least one high-resolution detection unit (2, 3).

In accordance with one or more embodiments herein, a flame detecting arrangement 100 is provided. The flame detecting arrangement 100 comprises: at least one optical flame detector 110, arranged with its field-of-view covering a predetermined area; at least one movement sensor 120, arranged together with the at least one flame detector 110; and at least one processing device 180 arranged together with the at least one flame detector 110. The at least one processing device 180 is arranged to: receive signals from the movement sensor 120; detect abnormal movement of the flame detector 110 based on these signals; and alert an operator and/or a control system 200 if abnormal movement of the flame detector 110 has been detected. This enables the field-of-view of the flame detector to be corrected to the desired, preferably the original, field-of-view.

A method of monitoring an antenna array comprises generating first image data at a first time. The first image data is reproducible as a first image of an antenna array unit. The method further comprises generating second image data at a second time. The second image data is reproducible as a second image of the antenna array unit. The method further comprises comparing the first image data and the second image data. The method further comprises transmitting an alert that is indicative of the presence of at least one with the antenna array unit at the second time. The alert is transmitted in response to the comparison between the first image data and the second image data indicating the presence of the at least one fault with the antenna array unit at the second time.

A visual recognition system for wind turbines, including an intelligent analysis unit configured to analyze and determine data information, an intelligent service unit configured to transmit image data, a telecontrol platform, a graphic workstation, an intelligent processing unit configured to process video files, a router, a video storage unit configured to store video information, an intelligent binocular perception terminal, an intelligent perception terminal and an intelligent recognition terminal, where the intelligent binocular perception terminal, the intelligent perception terminal and the intelligent recognition terminal are connected to the video storage unit and the intelligent processing unit through optical fibers and the router. Real-time recognition of equipment defects and timely warning are achieved, operation and maintenance blind spots are reduced, the number of manual inspections is decreased, operation and maintenance efficiency is improved, operation and maintenance costs are reduced, and the safety risks of patrol personnel is reduced.

The present invention relates to an intelligent flame detection apparatus and method using an infrared thermogram, which combine a conventional flame detector with an infrared thermographic camera and an infrared thermogram processing technology, and which enable whether a flame signal received from a flame sensor is an allowed flame or an artificial flame to be accurately detected, thereby improving the accuracy of fire alarms.

A thermographic detector device for a fire alarm control system is described herein. In some examples, one or more embodiments include a thermography camera configured to capture a thermal image within a field of view of the thermographic detector device, a memory and a processor to execute instructions stored in the memory to detect a fault associated with the thermographic detector device, wherein the fault includes at least one of a field of view fault, an operating parameter fault, and an internal fault, generate a fault signal upon detecting the fault, and provide a notification of the fault using the fault signal.

A system for monitoring event related data including a sensor data analyzer, an event analyzer and an actuator is disclosed. The sensor data analyzer detects events based on sensor data, the event analyzer couples to the sensor data analyzer and estimates the size of the detected entire events based on event related data of the detected events from the sensor data analyzer, and the actuator couples to the sensor data analyzer and the event analyzer and actuates a predetermined device based on the estimated size of the detected entire events.

Novel methods and apparatus regarding electronic eyewear are disclosed. Different embodiments can be applicable for seniors. One embodiment includes an eyewear that can charge when placed in an eyewear case. A user can access a live operator by tapping a button at the eyewear. The live operator can connect the user to a person. The eyewear can detect falls. In another embodiment, the eyewear with a digital assistant can be voice activated, and can provide assistance via the digital assistant. In yet another embodiment, the eyewear includes a position identifying system to identify a position of the eyewear. In one embodiment, the eyewear could wirelessly interact with a device coupled to an apparatus in the vicinity of the eyewear.

A system and computer software mechanism is disclosed that can automatically detect smoking conditions for industrial flares. In an online mode, the software mechanism can analyze live video images to identify smoking conditions and generate a “Smoke Level” value to represent the seriousness of the smoking events. In an off-line mode, the software mechanism can load saved video files and analyze video images to identify smoking conditions and generate a “Smoke Level” value to represent the seriousness of the smoking events. In the online mode, the Smoke Level data can be sent to the plant distributed control system (DCS) or other control devices so alarms can be generated and automatic or manual control actions can be taken quickly to stop the flare from smoking. In both online and off-line modes, Smoke Level data can also be saved in historical files for reporting and smoke event tracking purposes. Using the described system and software mechanism, industrial plants can comply with EPA regulations at all times, improve flare control and monitoring, be better prepared for EPA reporting and auditing, and save energy and manpower.