The YeeTech WITS100 Vibration Sensor is a sensor developed based on the principle of mechanical vibration. Micro-mechanical sensing technology boasts superior mechanical and physical properties compared to traditional spring-mass vibration sensor technology. It features an extremely wide frequency response range and ultra-high sensitivity, capable of accurately reproducing the mechanical motion states of objects such as fences. Particularly, YeeTech's vibration sensors can also measure their own attitude changes.

The Yidian ediantec WITS100 Vibration Sensor is a sensor developed based on the principle of mechanical vibration. Micro-mechanical sensing technology boasts superior mechanical and physical properties compared to traditional spring-mass sensor technology. It features an extremely wide frequency response range and ultra-high sensitivity. It can accurately reproduce the mechanical motion state of objects such as fences. Particularly, Yidian ediantec's vibration sensors can also measure their own attitude changes.

The ediantec WITS100 vibration sensor can detect the vibration, sway, and tilt of "fences" and other load-bearing objects. Through our self-developed mathematical model and processing algorithms, it can intelligently perceive intruder behaviors such as climbing and breaching of the "fence."

The ediantec WITS200 vibration sensor features stability, reliability, low false alarms, easy installation, and convenience, with hardware that requires no tuning. It allows for setting a signal trigger threshold at the front end of the vibration sensor to filter out some non-realistic intrusion vibrations caused by interference, effectively reducing the generation of a large number of vibration change signals at the initial detection stage of the system. Interference from the surrounding environment of the fence, as well as mechanical vibrations caused by vegetation and animal intrusions around the fence, are processed through intelligent algorithms to provide judgment results, with the ability to self-learn, thereby reducing the rate of false alarms.