G08B13/18

Container tamper-proof protection by use of printed fiber optics manufacturing and integrated sensors
10388129 · 2019-08-20 · ·

The disclosed embodiments provide a method for tamper-proof protection of containers used for shipment of goods. An optical fiber is embedded in an Optical Shield Wallpaper which lines all interior surfaces of any size of a shipping container, package, box, barrel or other shaped container. Wallpaper is manufactured using large scale rollers that press fibers with encapsulated adhesives onto an appropriate medium. Small medicine containers are protected with a fiber optic shield and sensors manufactured using ink jet printing techniques. Light is applied to the optical fiber and a measurement of optical fiber characteristics is performed. Digital signal processing is used to generate pedigree information, which may include items such as shipping location, serial numbers and lot numbers for the goods. The status of the autonomous anti-tampering system is monitored real-time for unauthorized intrusions. Intrusions detected are relayed to an authorized recipient via a variety of communication channels.

Method for detecting intrusion
10380859 · 2019-08-13 · ·

An intrusion detecting method using an intrusion detecting system which includes an optical fiber line installed in an area in which intrusion is to be detected, a laser diode inputting an optical signal to the optical fiber line, a photodiode detecting a reflected optical signal when the optical signal is reflected from the optical fiber line, an intrusion determining unit comparing a waveform of the reflected optical signal detected by the photodiode with a set reference waveform to determine whether an intrusion has occurred, and a laser diode temperature measuring unit measuring a temperature of the laser diode, includes designating, by the intrusion determining unit, a temperature of the laser diode at a first point in time as a first temperature and setting, to a reference waveform, a waveform of a first reflected optical signal caused by an input optical signal input by the laser diode at the first point in time, designating, by the intrusion determining unit, a temperature of the laser diode at a second point in time after the first point in time as a second temperature and determining whether the second temperature is within an allowable range with respect to the first temperature, and when it is determined that the second temperature exceeds the allowable range, resetting, by the intrusion determining unit, to the reference waveform, a waveform of a second reflected optical signal caused by an input optical signal input by the laser diode at the second point in time.

Presence detection and detection localization

A system configured to improve human presence detection and/or localization by generating aggregate confidence values. The system may aggregate confidence values corresponding to overlapping regions of interest. The system may perform human presence detection by comparing the aggregate confidence values to a universal threshold, with aggregate confidence values above the universal threshold indicating that human presence is detected. The system may use the aggregate confidence values to generate a heatmap, may identify a strongest cluster of pixels in the heatmap and determine a bounding box surrounding the strongest cluster. To distinguish the strongest cluster from a second strongest cluster of pixels, the system may apply a Gaussian kernel with varying threshold values. The system may store the threshold value at which the strongest cluster separates from the second strongest cluster and may use the threshold value to generate the bounding box.

SURVEILLANCE DEVICE
20190244505 · 2019-08-08 ·

A surveillance device includes: an electrical power supply system configured to be connected directly to an electrical mains system, a communication system configured to communicate with an operating center and/or with user devices, occupancy sensors configured to detect an intrusion in a surveillance area where the surveillance system is installed, cameras configured to record images in the surveillance area, an alarm configured to generate an acoustic and/or luminous alarm; and a control unit connected to the electrical power supply system, communication system, occupancy sensors, cameras and alarm.

DATA FUSION BASED SAFETY SURVEILLANCE SYSTEM AND METHOD

A data fusion based safety surveillances system has a first through N.sup.th virtual monitoring systems and a data fusion and decision device. The data fusion and decision device defines an i.sup.th detection model of the i.sup.th virtual monitoring system, and estimates an i.sup.th detection loss probability of the i.sup.th virtual monitoring system according to detection loss sample numbers of batches of i.sup.th monitored data of the i.sup.th virtual monitoring system under conditions corresponding to the locations, batches of context data and existence of intruder, the i.sup.th detection model, the batches of i.sup.th monitored data corresponding to locations of the i.sup.th virtual monitoring system and the batches of context data. The data fusion and decision device determines a fusion parameter set according to the first through N.sup.th detection loss probabilities, and performs data fusion on a first through N.sup.th detection results to generate a decision result.

DATA FUSION BASED SAFETY SURVEILLANCE SYSTEM AND METHOD

A data fusion based safety surveillances system has a first through N.sup.th virtual monitoring systems and a data fusion and decision device. The data fusion and decision device defines an i.sup.th detection model of the i.sup.th virtual monitoring system, and estimates an i.sup.th detection loss probability of the i.sup.th virtual monitoring system according to detection loss sample numbers of batches of i.sup.th monitored data of the i.sup.th virtual monitoring system under conditions corresponding to the locations, batches of context data and existence of intruder, the i.sup.th detection model, the batches of i.sup.th monitored data corresponding to locations of the i.sup.th virtual monitoring system and the batches of context data. The data fusion and decision device determines a fusion parameter set according to the first through N.sup.th detection loss probabilities, and performs data fusion on a first through N.sup.th detection results to generate a decision result.

Occupancy based lighting control technology and its application thereof
10319205 · 2019-06-11 ·

This disclosure relates to a method of detecting an occupancy state of a living space for controlling lighting apparatus. The method comprises using a motion sensor to send wave signal and detect echoed signal reflected from a moving human body and using a control circuitry operated with a software program to analyze the echoed signal for establishing a numerical value account. In referring to preset parameters, the software program judges the echoed signal by analyzing time duration and frequency pattern of the echoed signal as an incoming motion, an outgoing motion or a local random motion, such that the numerical value account is accordingly updated to represent actual occupant number for activating the controller circuitry to turn on or turn off the lighting apparatus.

Circuit device, oscillator, electronic apparatus, and moving object

A circuit device includes an A/D conversion section adapted to perform an A/D conversion of a temperature detection voltage from a temperature sensor to output temperature detection data, a processing section adapted to perform a temperature compensation process of an oscillation frequency based on the temperature detection data to output frequency control data of the oscillation frequency, and an oscillation signal generation circuit adapted to generate an oscillation signal using the frequency control data and a resonator. The processing section may change the frequency control data in increments of kLSB (k1) based on a change in temperature.

Pre-emptive fault detection through advanced signal analysis

Herein provided are methods and systems for detecting failure of a sensor in a control system for a gas turbine engine. A signal is received from the sensor. A high-pass filter is applied to the signal to produce a high-frequency component signal. A rate of occurrence of signal spikes in the high-frequency component signal is determined. The high-frequency component signal is compared to a component signal threshold which is based on at least one known healthy component signal and at least one faulty component signal. The presence of intermittent open circuits caused by the sensor is detected based on the comparing and on the rate of occurrence of signal spikes.

SENSOR-CONTROLLED KEY SYSTEM FOR A MOTOR VEHICLE AND METHOD FOR THE ENERGY-SAVING ENVIRONMENT MONITORING OF A MOTOR VEHICLE
20190118770 · 2019-04-25 ·

A sensor-controlled key system for a motor vehicle for releasing an access authorization and for actuating auxiliary functions includes a control device having an electronic key device. The key system further includes at least one optical sensor device with at least one optical sensor element. The optical sensor element has a beam path that defines at least two observation regions B1, B2, Bn. The control device has a switching function that switches observation regions B1, B2, Bn on and off in dependence on a verified or non-verified access authorization.