BeeS™ is the patented GPS Standard system that integrates new high-performance electronics developed in our laboratories. Equipped with next-generation chipsets and high processing power, BeeS™ can detect and analyze even the slightest mechanical stresses generated by intrusion attempts.

Il sistema è estremamente versatile: può essere utilizzato sia in applicazioni interrate, sotto qualunque tipologia di terreno, sia come sistema antiscavalcamento su qualsiasi tipo di recinzione, dalle strutture metalliche più rigide fino ai modelli più leggeri e flessibili.

BeeS™ supporta sia catene di sensori piezoelettrici sia tratte di cavo microfonico, offrendo un approccio modulare e adattabile ad ogni contesto. Questa flessibilità consente di semplificare la progettazione dell’impianto di sicurezza e di ottimizzare l’installazione, riducendo significativamente tempi e costi operativi.

It is ideal for residential or industrial structures, for underground installations or as an anti-climb system on perimeter fences, whether mesh or bar fences, as well as concrete or brick walls, roofs, and ducts.

The system covers distances from 10 m up to 8 × 50 m (stand-alone).

It supports up to 50 m of perimeter per channel (8 channels total).

BeeS™ offers numerous significant advantages. It is easy to install beneath any type of flooring and can be applied just as easily to fences, walls, or roofs, ensuring maximum versatility in any context. A single technology can protect entire perimeters thanks to the availability of 8 independent channels, simplifying system design and management.

Its advanced digital signal analysis recognizes and classifies different types of intrusion with precision, making the system extremely reliable and minimizing false alarms. In addition, BeeS™ provides excellent performance with low installation and operating costs, ensuring a highly competitive solution.

BeeS™ is a perimeter protection system capable of managing both chains of piezoelectric sensors and microphonic cable sections, for underground installations beneath any type of pavement and for the protection of any type of fence. It is based on a DSP technology microprocessor, capable of performing extremely accurate time-domain and frequency-domain signal analysis.

During operation, the system can distinguish recurring environmental signals from alarm-related ones. Sensor-generated signals are automatically compared with those stored during the system setup. According to the type and duration of the received signal, the system identifies the event and, when necessary, activates the alarm.

The system suits both compact installations and extended solutions, thanks to integration with the PUA-R008 Ethernet relay board, which allows LAN-based management of multiple BeeS™ systems. This feature, combined with smart design, ensures fast installation and cost optimization compared to competing solutions—both at the initial investment stage and over time.

BeeS™ operates by detecting all mechanical stresses produced by intrusion attempts—whether on surfaces, fences, attempts to climb, lift, or cut the mesh—through piezoelectric sensors or microphonic cables. These stresses are converted into electrical signals by the sensing elements.

The DSP analyzer provides enormous processing power, enabling Fourier Transforms, digital filters, and more. It can independently manage eight separate zones (channels) of 50 m each and, if the signal exceeds the preset threshold—after a series of comparisons with configured system parameters—generates an alarm or pre-alarm.

Depending on the perimeter layout, the required sensitivity level, and the type of fence, the installer can select the best sensor technology and adjust the sensitivity for each section.

The system can be connected to any alarm control panel, and during installation, its operating parameters can be configured via PC.

- Suitable for underground and fence-mounted installations
- Time-domain signal processing
- Frequency-domain signal processing
- Combined time-frequency analysis
- Use of detection masks to identify and classify sensor signals
- Signal energy detection (spectral analysis)
- Categorization of signal energy matrices
- 8 local inputs and 8 relay outputs (optional)
- Local recording
- Auto-calibration