An imaging system for an aircraft is disclosed. The imaging system comprises one or more image sensors configured to image a surrounding environment of the aircraft, a light source configured to emit light, a mask including one or more prisms configured to direct the light, and one or more pinholes configured pass the light directed from the one or more prisms, and a controller communicatively coupled to the one or more image sensors. The controller is configured to: receive an image of the surrounding environment of the aircraft from the one or more image sensors, wherein the image includes an artifact based on the light passed by the one or more pinholes; determine centroid data and extent data of the artifact in the image; and determine an orientation of the artifact in the image with respect to a calibration artifact using the centroid data and the extent data.

A method, apparatus, system, and computer program product for monitoring a platform. Images are received by a computer system from a sensor system positioned to monitor movement of human beings relative to the platform. A set of the human beings is identified by the computer system in the images. The movement of the set of the human beings relative to the platform is determined by the computer system using the images. A count of the human beings on the platform is determined by the computer system based on the movement determined for the set of the human beings. A set of actions is performed by the computer system based on the count of the human beings on the platform.

A system for calculating weight and distribution on an aircraft. The system includes an aircraft, at least one cabin camera configured to view the cabin of the aircraft, an image collector configured to collect images from the at least one cabin camera and a processor. The processor is configured to perform the following steps: a) detecting passengers and/or hand baggage from the images collected from the image collector, b) estimating positions of the passengers and/or hand baggage from the images collected from the image collector, and c) estimating weight of the passengers and/or hand baggage from the images collected from the image collector. The processor also calculates a real-time weight distribution of the aircraft based on the estimates provided in steps a)-c).

A method 140 of assessing an operator emotional state 131 and sending an alert 144 based on the emotional state 131. The method 140 includes tracking 141 during a time period, using at least one sensor 103, 105, 106, 112, 117, one of an image sensor data, voice data or a biometric parameter of an operator. Determining 142, using a controller 120 that is operatively connected to at least one sensor 103, 105, 106, 112, 117, a probability of a likely emotional state 131 from a list of emotional states 131 of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing 143, using a processor, the probability of one of the likely emotional states 131 of the operator with a baseline emotional state 131 of the operator. Sending 144, using the controller 120, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

It is an integrated system that (RECORD) registers the events on the plane (video/audio) and stored on the hard disk to get to know the truth of what happened on the aircraft in emergency situations and disasters and we can also get a live broadcasting of the events WHILE THE FLIGHT in an emergency by using (wifi) satellite internet or data over hf (wbhf) technology with ad hoc.

A method of assessing an operator emotional state and sending an alert based on the emotional state. The method includes tracking during a time period, using at least one sensor, one of an image sensor data, voice data or a biometric parameter of an operator. Determining, using a controller that is operatively connected to at least one sensor, a probability of a likely emotional state from a list of emotional states of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing, using a processor, the probability of one of the likely emotional states of the operator with a baseline emotional state of the operator. Sending, using the controller, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

A method 140 of assessing an operator emotional state 131 and sending an alert 144 based on the emotional state 131. The method 140 includes tracking 141 during a time period, using at least one sensor 103, 105, 106, 112, 117, one of an image sensor data, voice data or a biometric parameter of an operator. Determining 142, using a controller 120 that is operatively connected to at least one sensor 103, 105, 106, 112, 117, a probability of a likely emotional state 131 from a list of emotional states 131 of an operator based on one of the image sensor data, voice data or the biometric parameter. Comparing 143, using a processor, the probability of one of the likely emotional states 131 of the operator with a baseline emotional state 131 of the operator. Sending 144, using the controller 120, an alert if most likely emotional state deviates from the baseline emotional state by a predetermined threshold.

A system, method and device for monitoring an aircraft, including activity taking place within an aircraft and conditions of the aircraft, where one or more a percepting component such as a camera, microphone, or other sensor, is situated at a location within the aircraft from which information may be ascertained. Preferably the component is disguised within the surfaces or instrumentation of the aircraft. The percepting component is connected with a communication mechanism to transmit communications from the system resident within the aircraft to a grounds portion of the system through a communication link, such as a satellite communication link. The system may process the information corresponding with the aircraft condition or activity and generate alerts when a trigger is met or exceeded. The system components on the aircraft may monitor conditions and activity without using or interfering with the aircraft instrumentation, the system using only the aircraft power.

A situation recognition device (10) including a surveillance processor (1) and an AI system (3). The surveillance processor receives visual and/or acoustic surveillance signals (E) from an aircraft passenger compartment (20) via an input interface (7). The AI system (3) includes an AI processor (4), a rule set generator (5) based on self-learning algorithms, and a reference rule set memory (6). The AI system is in bidirectional data communication with the surveillance processor (1). The AI processor (4) checks, upon a request (Q) from the surveillance processor (1), data patterns in the received visual and/or acoustic surveillance signals (E) for deviations from data patterns in a reference rule set (R) stored in the reference rule set memory (6). The surveillance processor (1) outputs indicator signals (A) via the output interface (8) if deviations determined by the AI processor (4) exceed one or more predefinable deviation threshold values.

A system for monitoring the operational status of an aircraft crew comprises a unit for determining at least one pilot state based on first monitoring data of a high design assurance level and second monitoring data of a lower design assurance level. The determination unit comprises a first evaluation module capable of obtaining a high-level pilot state from the first data, regardless of the second data; a second evaluation module capable of determining a low-level pilot state, from at least the second data; and a consolidation module for determining a consolidated pilot state. The consolidated pilot state is obtained as a function of the high-level pilot state and the low-level pilot state.