Sound Detection Technology and Heron’s Law for Secure Monitoring System

The intruder's image and sound detection did not employ effetely in the various types of existing monitoring systems. The monitoring systems capture all wanted, unwanted objects in the monitoring zone, and do not detect objects in the blind monitoring zone. Therefore, this paper aims to increase the accuracy of monitoring system by detecting only the desired object's image, sound or both accurately. The proposed system used the sound detection capability in order to increase the system accuracy. Different sound detection algorithms are used to detect the sound that obtained by various sensors, then Heron's law is implemented to avoid the sound from external sources and prevent to track the undesired objects. The obtained results increased the detection accuracy by 30% comparing to the existing systems results. The proposed system provides the ability to detect the desired intruder inside and outside monitoring zone and avoiding other small objects, which curtail the tracking errors rate by approximately 11%. The various sound detection algorithms implemented in the systems solve the problem of detecting the objects in the blind monitoring zone, where a location is not needed to track objects. Likewise, the Herons law is implemented to avoid the external source as well as to track the smaller object except for intruders.