GuardianNet
GuardianNet is a highly mobile alarm system currently under development, designed specifically for flexible deployment in demanding environments. It consists of a robust handheld control unit (HCU) and up to eight multi-sensors that operate independently and can monitor a wide variety of environmental parameters. Communication between the sensors and the handheld unit takes place via an encrypted radio link, ensuring secure and reliable alarm transmission in both urban and wide-area operational scenarios.
Key Features
Range – GuardianNet covers distances up to 400 m in urban environments and up to 4000 m line-of-sight. | Encryption – 256-bit AES encryption ensures secure communication. | Intuitive Operation – Clear displays, simple menus, and an ergonomic design enable fast and error-free handling. | Outdoor Ready – The handheld unit and multi-sensors are certified to IP67. |
Technical Data
Feature | Handheld Unit (HCU) | Multi-Sensor |
---|---|---|
Product Number | HCU-XX-XX-XX | - |
Weight | 305 g | - |
Dimensions | 151 × 85 × 27 mm | - |
Power Supply | 4 × AAA batteries | - |
Housing Material | Polyamide | - |
Range | up to 400 m urban / 4 km LOS | up to 400 m urban / 4 km LOS |
Protection Class | IP67 | IP67 |
Product Images
coming soon …
Funding
This project is supported by the funding program Brandenburger Innovationsfachkräfte 2022 of the Investment Bank of the State of Brandenburg.
Introduction
Within the framework of the GuardianNet project, a novel sensor platform is being developed, designed specifically for security-related applications.
A central focus lies on the potential integration of Artificial Intelligence (AI). The project investigates whether and how AI can be used effectively to enhance the efficiency, precision, and responsiveness of the platform in security contexts.
Project Objective
The objective of the project is the development of an innovative sensor platform for security tasks. An essential aspect is to evaluate the potential integration of Artificial Intelligence (AI). This includes examining whether and to what extent AI algorithms can be meaningfully incorporated to improve efficiency and accuracy in security-related tasks.
For this innovation project, a working student is employed.
