The invisible window & door sensor with up to 10 km range & 10 years of battery life.
High quality for both in & outdoor applications, it is the ideal sensor for any professional IoT application. Strips MS +Guard is a multi-sensor that can also be used for temperature measurements.
STRIPS MS +GUARD FOR SMART BUILDINGS
Sensative's MS +Guard - the ultra-slim magnetic sensor for monitoring windows and doors, gates, and drawers. The unique form factor enables hidden installations inside the window or door frame or other narrow spaces. Its long battery life of up to 10 years and impressive range of up to 10 km sets it apart, making it perfect for indoor and outdoor IoT applications. The added feature of temperature measurement provides a comprehensive overview of the climate in and around your property.
The sensor can be configured to function solely as a beacon, but only when the door or window is open. This feature is particularly beneficial for scenarios involving metal doors or windows, where it can be used to control air conditioning units or alarm systems effectively.
As a multi-sensor, MS +Guard is flexible and customizable to suit your specific needs, making it a valuable investment for your company's operations. It's ideal for businesses looking to modernize their IoT and PropTech, optimize energy usage, automate processes, and enhance property protection.
If you utilize your sensors with a smart building system or our horizontal IoT platform Yggio, you will have a multitude of possibilities thanks to the systems interoperability services. What this means is that you can connect Strips to other IoT devices, systems, and services no matter which technology or protocol, for example, to initiate an alarm if the door is opened or turn off the ventilation when a window has been opened.
| Application | |
|---|---|
| Application | Security, Room sensor, Window and door monitoring |
| Benefits | |
| Benefits | Blend-in design, No maintenance (10 years), Long-range (10 km), Simple installation & mounting, Low-lifecycle cost (multi-purpose multi-sensor) |
| In/Outdoor usage | Indoor & Outdoor |
| Features | |
| Sensor | Open/Close, Temperature |
| Functionality | Tamper alert |
| Firmware update over the air (FOTA) | No |
| Connectivity data | |
| Frequency | EU868 - Europe 863-870 MHz or AS923 - Asia 915 - 928 MHz or US915 - US 902 - 928 MHz or AU915 - Australia 915 - 928 MHz or JP920 - Japan or IN865 - India |
| Protocols / Connectivity | LoRaWAN |
| LoRaWAN version | V 1.0.4 |
| LoRaWAN class | Class A |
| Antenna | Integrated |
| Sensor data | |
| Temperature accuracy | ± 1 °C/ 1.8 °F @ 0-30 °C/32-86°F |
| Sensor type | Magnetic contact |
| Power supply | |
| Powered by | Battery, Built-in battery (LiMn02), 1,4 Wh (480 mA @ 3V), Non rechargeable battery |
| , | |
| Mechanical data | |
| Weight (g) | 11 |
| Width (mm) | 15 |
| Height (mm) | 3 |
| More information | |
| Manual URL | https://public.yggio.net/docs/strips/multi-sensor/#strips-ms-guard |
| Battery calculator | https://sensative.com/sensors/strips-lora-sensors/sensative-strips-lora-battery-calculator/ |
| Payload decoder | https://sensative.com/sensors/strips-lora-sensors/sensative-strips-lora-ms-resource-center/ |
| Internal | |
| Yggio decoder | Strips MS +Drip +Guard |
| Fortnox Article number | 130100X_192 |
| Manufacturer | Sensative |
| Country of origin | Poland |
| Packaging | Installer |
| Length (mm) | 195 |
| Box Width (mm) | 38 |
| Box Length (mm) | 206 |
| Box Thickness (mm) | 17 |
| Box Weight empty (g) | 10 |
| Box Weight with content (g) | 30 |
Sensative Strips are protected by one or more of the following patents:
Elongated wireless sensor assembly
Sweden: SE 537 509Europe: 3053152
EP 3 670 811 B1
USA: 9,953,496USA: 10,720,033USA; 11,170,617
Data Infrastructure Management System (DiMS)
Sensative and Combain are thrilled to announce our strategic collaboration, marking a new era of AI-powered seamless indoor/outdoor geolocation solutions. The partnership will focus on creating a comprehensive solution for seamless indoor/outdoor geolocation that leverages AI algorithms and deep learning techniques.
