How to improve the accuracy of burglar alarm

The alarm is the most basic and effective safety device. Once a threat is detected in the alarm area, the alarm must effectively transmit the alarm information.

Alarm false alarm rate reduction technology

Advanced alarm technology enables simple alarm functions through sensors, but to truly implement emergency alarm response, it seems that the alarm solution needs to be carefully deployed.

Sensor embedded anti false alarm detection

Dispatch alarm system is to eliminate false alarm rate, manufacturers have developed a lot of anti-false alarm and detection equipment, and add it to the sensor, on the one hand to improve the alarm processing speed, on the one hand to reduce false alarms through the detector. There are also DMF and DMT techniques used to distinguish between true and false alarms, specifically to distinguish human and pet trigger alarm patterns.

Monitoring probes and detectors networking

Making a fuss from the sensor seems to be a challenge to the company's R&D capabilities. In addition to relying on the core hardware, alarms can reduce false alarms and can be linked to monitoring devices. According to industry sources, a qualified detector requires accurate alarms, of which 50% depends on video surveillance, the remaining 30% rely on software, and 20% rely on hardware. Obviously the alarm detector partner plays a more important role.

In fact, the monitoring probe and detector network is not a new technology, this alarm system can be integrated with the home automation monitoring system, not only to ensure the normal operation of the equipment, but also invaluable value for the development of the IP network alarm market.

Amplifying signals to distinguish interference sources

Another form in which manufacturers reduce the false alarm rate through sensors is called the signal amplification effect. For motion detection in different environments, a signal is amplified to reduce other signal interference; the actual motion is detected through a dedicated detector. This eliminates possible interference signals.

In addition, there is an automatic temperature compensation algorithm that discriminates the source of interference and reduces false alarms by distinguishing the actual ambient temperature from the human or animal temperature.

The above techniques or analysis algorithms reduce the false alarm rate through different levels and eliminate the possibility of interference from the interference source. As with the DMF described above, this is determined by detecting the pace of the pedestrian to determine if there is a need for an alarm. In the outdoors, the environment is relatively complex, so it is necessary to use two motion detectors. Only when two sensors trigger an alarm at the same time can the alarm be truly triggered.

This logic-determined automatic detection technology reduces the possibility of false alarms caused by wind, rain, fog, snow, and other natural environmental changes. Adjusting the detection frequency determines different environments. It seems that such simple and smart products are suitable for civilian and consumer markets. .

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