INNOVATIVE INTRUDER DETECTION TECHNOLOGY BASED ON CONTROLLED MAGNETIC FIELDS AND CAPABLE OF DETECTING THREATS BEFORE THEY OCCUR
Wardiam Perimeter is a new and disruptive security system based on extensive critical infrastructures, which monitors not only the perimeter of facilities, but moreover is able to identify intruders and monitor them inside the same, in the event of an effective intrusion.
Wardiam Perimeter is an intrusion detection system geared mainly towards the protection of critical infrastructures, although it has been designed to operate in any type of installations with perimeters greater than 50 metres. Based on Ontech's patented technology (CMF), this security system is capable of providing the most highly-prized features required by the security market. To achieve this, it is based on a ground-breaking sensor network to preventively detect and discriminate against possible intruders, and a video-tracking system that will only be activated at the time of detection by the sensor, thus preventing the Camera system from working at all times.
The key benefits are:
- Preventive detection: The threats are detected before they take place.
- Discrimination: The CMF technology is able to distinguish whether the intrusion is caused by a human being, an animal or an object.
- Hidden system: This technology can be installed inside the wall without being visible to the naked eye.
- Differentiation between different levels of alarm: The degree of threat can be measured by distinguishing between walking, touching or climbing the perimeter.
- Monitoring and identification of intruders: Collaborative monitoring of intruders.
- Personal data protection law: The cameras can be turned off while there are no threats.
Wardiam Perimeter is an optimal technology to meet the different needs required by the market. Artificial intelligence integrated into its algorithms guarantees its ability to adapt to real environmental conditions, providing this system with the high levels of reliability that a critical infrastructure needs.
This Project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N°783977