In critical infrastructure, municipal networks, and industrial sites, a small movement can be the first sign of an important event.
A manhole cover opens.
A shaft access point is moved.
A cabinet door changes position.
A hatch remains open.
A container tilts or falls.
These changes may look simple, but they can indicate unauthorized access, vandalism, unsafe conditions, misuse, damaged equipment, or the need for immediate inspection. The problem is that many of these events are still discovered too late — during manual inspection rounds, after a service call, or once the issue has already caused damage, downtime, or additional effort.
Juno Tilt from Sentinum makes these movements visible earlier.
The compact wireless sensor detects opening, tilt, movement, and position changes with 1° angle resolution. It combines tilt and acceleration sensing with magnetic opening detection, allowing one device to monitor whether an asset has been opened, moved, tilted, dropped, or manipulated.
With its rugged IP69K housing, battery-powered operation, and wireless communication via mioty®, LoRaWAN®, NB-IoT, LTE-M, or cellular, Juno Tilt is built for remote, outdoor, and hard-to-access assets where cabling is not practical.
Together with Orelia, Sentinum’s sophisticated IoT dashboard platform, these field events become clear operational information. Operators can see what happened, where it happened, when it happened, and how often it occurred.
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One of the strongest use cases for Juno Tilt is the monitoring of manholes, shafts, inspection covers, access hatches, utility cabinets, and underground infrastructure points.
In water, wastewater, energy, telecom, and municipal networks, these assets are often distributed across wide areas. They are important, but difficult to supervise continuously. If a manhole cover is opened, a shaft access point is moved, or a technical hatch remains open, the event can create safety risks or indicate unauthorized activity.
Juno Tilt detects these position changes automatically and sends the event to Orelia. Instead of waiting for the next inspection round, operators gain earlier visibility and can decide faster whether action is required.
In industrial environments, Juno Tilt can monitor machine hatches, cabinet doors, service flaps, covers, and technical enclosures. A position change can indicate maintenance activity, improper handling, unauthorized access, or a condition that should be checked.
In municipal and logistics applications, the sensor can be used on containers, bins, boxes, mobile assets, and outdoor equipment. If an asset tilts, falls, moves, or is handled unexpectedly, the event becomes visible without manual checking.
For outdoor and infrastructure installations, optional temperature and humidity monitoring can add useful environmental context. Operators can understand not only that an asset moved or opened, but also whether surrounding conditions are changing.
Juno Tilt detects the movement.
Orelia turns it into usable information.
With Orelia, opening, tilt, movement, and position events can be visualized from one central interface. Users can monitor live asset status, review historical events, extract data, generate reports, and connect the information to further systems through available interfaces.
This makes the data useful for maintenance teams, infrastructure operators, municipal services, industrial sites, and asset managers. Instead of receiving isolated sensor values, they get a clear view of the event and its context.
Juno Tilt helps operators move from delayed discovery to earlier awareness.
Whether it is a manhole cover, shaft access point, cabinet door, technical hatch, container, or mobile asset, the sensor makes relevant position changes visible before they turn into bigger operational problems.
Compact, wireless, rugged, and connected to Orelia, Juno Tilt creates a practical IoT solution for monitoring movement, opening, tilt, and infrastructure access in the field.
Want to learn more? Visit our shop to explore the available Juno Tilt LoRaWAN®, Juno Tilt mioty®, and Juno Tilt Cellular variants.