Truck door opening detection
Integrate ELA Innovation wireless magnetic sensors into your connected transport solutions to detect the opening of truck doors.
Detection of truck door opening, what is it?
In the field of freight transport, security is a major issue for both carriers and their customers.
Every year, approximately 8.2 billion euros worth of goods are stolen in Europe. In order to increase the security of these goods, carriers are increasingly equipping themselves with connected telematics solutions.
To meet this challenge and to offer a complete solution, we advise you to integrate the detection of truck door opening into your IoT solution. Using ELA Innovation’s wireless magnetic sensors, you can simply detect when a truck door is open and alert the driver in real time through your business application.
How does truck door detection actually work?
“The simple setup allowed us to quickly secure all the vehicles involved”
Why integrate magnetic sensors into your telematics solution?
The industrial magnetic sensors from ELA Innovation are ideal for detecting the opening of truck doors:
100% autonomous
Their battery powered operation provides up to 14 years of autonomy, ensuring a competitive total cost of acquisition.
Quick and easy to install
Easy to install thanks to the different fixing methods (high performance double-sided sticker or screwable support), these sensors can be fixed on any type of surface and do not require any wiring.
Compatible with telematics boxes
Equipped with Bluetooth Low Energy technology, these sensors are compatible with the majority of on-board telematics boxes on the market, requiring no additional integration.
Industrial boxes
Robust and waterproof, these sensors are designed to be used in extreme conditions. They are therefore waterproof and resistant to shocks and vibrations.
Which magnetic sensors should be used to secure goods?
If you are an IoT solution provider and you want to integrate truck door detection into your offer, here are the ELA Innovation products that we recommend:
