387results about How to "Alarm is accurate" patented technology

The invention discloses a passenger invading signal character identifying method in an optical fiber crawl. In the method, the walking morphological feature of people is used to identify whether the signal detected by an optical fiber crawl system is aroused by artificial invasion. The walking morphological feature of people is the walking gait cycle of people; the average value thereof is 1.2 seconds; the average stepping period of people during walking is 0.6 second; wherein, the time for the feet to contact the ground is about 0.2 second; while the time for the feet to leave the ground is about 0.4 second. If the sensor change aroused by one perturbation appears in an average period of 0.5 to 0.7 second, and the continuing time is 0.2 to 0.3 second in average, then the perturbation is judged to be a passenger invasion, which can be realized by carrying out self correlation calculation on the output signal of the optical fiber crawl system; the peak period of a self correlation curve is the period of an invasion signal; the continuing time of a self-correlation peak is the continuing time of a vibration signal aroused by contact of the feet of an invader with the ground.

The invention discloses a method for detecting intrusion on the basis of video monitoring. The method includes acquiring front-end video stream data packets by the aid of FFMPEG and parallelizing acquired front-end video stream data by the aid of special CUDA (compute unified device architecture) decoding data interfaces; acquiring pedestrian classifiers by the aid of machine learning processes and establishing reference backgrounds by the aid of mathematical statistic processes. The method has the advantages that real-time online learning can be carried out, and the scene adaptability of algorithms can be improved; multiple targets can be tracked in real time by the aid of Kalman filter algorithms; pedestrian targets are tracked, the mass centers of the pedestrians are computed, target boundary violation warning effects can be realized if the mass centers are positioned in scribed regions, and video display can be carried out; the boundary violation targets can be quickly and accurately warned on the basis of automatic and artificial intelligent technologies, accordingly, intrusion of foreign targets can be effectively prevented, and the labor cost and the device-related prevention cost in perimeter prevention can be reduced to a great extent; the shortcoming of influence of change of light rays, swinging of trees and interference of insects can be overcome.

The invention discloses a smart home security system, comprising an emergency light, an alarm host, an alarm lamp, a loudspeaker, a central control host, a central control display, a monitoring module, a camera, an infrared detector, a smoke detector, a gas detector, a gas Valves, rain detectors, curtain motors, window pushers, access control modules, emergency buttons, door magnetic detectors, curtain detectors, remote controls, landline phones, mobile terminals and alarm centers. The beneficial effects of the present invention are: the intelligent security system of the present invention is mainly composed of three modules of access control, alarm and monitoring, and an emergency button is provided in the access control module, which can instantly lock each door and window in a dangerous situation, and can also disconnect the power supply , which improves the system's ability to deal with emergencies. Door magnetic detectors and curtain detectors can be installed in the corners of doors and windows. When strangers are detected to enter, they can be linked with the alarm module to remind residents.