Low Power
Suitable for battery-powered card and tag designs; broadcast interval and battery life are optimized together.
Automation solutions that bring positioning, safety and full control to vehicles, plants and open sites.
We understand the operational needs of different sectors in depth and build pioneering automation technologies in our own R&D center. What we offer includes BLE RTLS and AoA based real-time location infrastructure, the CreaAI in-house artificial intelligence layer that runs on top of all that data, mixer drum automation systems, geofence-based camera management, event-based recording systems and platforms for central data collection from factory machines.
Integrated real-time location infrastructure for plants, warehouses, staff, forklifts, pallets and shuttle vehicles. One infrastructure, many uses, a scalable architecture.
BLE RTLS (Real-Time Location System) locates staff, vehicles, equipment and assets indoors in real time or near real time. Broadcasts from BLE cards and tags are picked up by Gateway or Locator devices in the field and turned into position data by the central RTLS engine.
RTLS is not a single staff-tracking application; it is a digital infrastructure on which different assets become visible over one network. New tag types and new software modules can be added to that same network later.
Four screens from the Createch BLE Monitor and BLE Setup interface: live monitoring, system definitions, an emergency drill and retrospective trace analysis. The images are from a simulation environment running on demo data.
Open the images full size
The live position of every tag on the site plan, together with gateway coverage areas. The left panel shows open alarms and per-zone counts; the right panel lists the tags and when each was last seen.
Zones are drawn on the site sketch and floor, zone type and level details are entered. Locator, tag, type and alarm rule definitions are all managed from the same screen.
When an emergency or drill is started, the number of people who have reached the assembly area and the number still outside are tracked along with elapsed time. Low-battery and unauthorized-area alarms appear on the same screen.
The trace of a selected tag over a chosen time range is drawn on the plan and played back and forth with the time bar. Zone crossings are listed with their durations, so post-incident review is done from the record.
The battery-powered broadcast unit carried by staff, forklifts, pallets and equipment.
Field devices receive the BLE broadcasts and relay them to the center.
The broadcasts are turned into position data by the central engine.
Position is shown on the map, and rule breaches raise an alarm.
What the location layer looks like in the field: live tracking of a moving vehicle, density distribution over a floor plan, and location data watched alongside camera footage. The images are from reference installations and validation rigs.
An autonomous vehicle running a reference course is picked up by ceiling-mounted BLE gateways and its position is marked on the digital plan in real time. Position accuracy and latency are measured on rigs like this.
A location cloud overlaid on the store plan shows how much time is spent in which aisles and zones. The same data can be used for layout planning, shift planning and measuring the impact of a campaign.
The positions of staff, patients and equipment are marked both on the floor plan and on the live camera image. The operator does not have to switch between screens to confirm an alarm: the location and video layers meet in one interface.
Suitable for battery-powered card and tag designs; broadcast interval and battery life are optimized together.
Zone detection and precise positioning can be used together in the same project: each area gets just as much technology as it needs.
The same BLE card can be used in the plant, on the shuttle vehicle and in other processes; the identity layer is never split.
The RSSI-based approach answers “which section or zone?” economically. AoA measures the angle at which the signal arrives, allowing more precise X-Y positioning in critical areas.
That allows a hybrid architecture rather than fitting the whole plant with expensive AoA infrastructure.
Improves position accuracy by measuring the angle at which the BLE signal reaches the antenna array.
The antenna array on an AoA Locator analyses the phase differences a BLE Direction Finding signal produces across its antennas. Using I/Q samples, antenna geometry and positioning algorithms it calculates azimuth, and with suitable hardware and installation, elevation as well.
The angles measured by several Locators are assessed together to estimate the tag's position. This approach gives higher spatial accuracy than proximity information alone.
The Direction Finding signal (Constant Tone Extension) is broadcast.
The phase differences across the Locator antennas are detected.
Raw I/Q samples are processed together with the antenna geometry.
Azimuth — and with a suitable installation, elevation — is calculated.
| Technology | Measurement | Use Case |
|---|---|---|
| BLE RSSI | Signal strength | Zone / section detection |
| BLE AoA | Angle of arrival | Precise positioning |
| Channel Sounding | Distance | Next-generation precise ranging |
| UWB | Time / distance | Very high precision |
Using the right measurement technology in the right area raises the return on the investment.
Offices, canteen, general warehouse: RSSI zone detection gives sufficient accuracy economically.
Forklift routes, production and loading areas: precise X-Y positioning with AoA comes into play.
Shuttle vehicles: an in-vehicle BLE Gateway and a 4G/5G connection carry coverage beyond the site.
Card and tag broadcasts originate in the field.
The Gateway and Locator network collects the broadcasts.
The measurement method is chosen to suit the area.
All data comes together on one platform, and modules are added to it.
Combining proximity with direction of travel and speed builds far more meaningful safety scenarios.
The approach is tracked and an event record can be created, gathering data before intervention is needed.
Warnings can be raised for both driver and pedestrian, and the system steps in when the approach threshold is crossed.
A high-priority alarm and integration scenario that works alongside your existing safety systems.
The system can weigh more than the distance between forklift and pedestrian: it can take the forklift's direction of travel, its speed, the person's position and the approach vector together. In an advanced model, calculations similar to TTC (Time To Collision) make the risk level dynamic.
Forklift and pedestrian positions are read at the same time.
The movement vector is derived from position history.
The approach vector and estimated time to contact are calculated.
Depending on the risk level, a record, a warning or an alarm is raised.
In safety-critical applications, central RTLS should be designed as a layer that supports — and a complementary layer does not replace — the local sensors and warning systems on the vehicle.
A complementary approach that uses video analysis to reveal cases where the card is not carried or there is no signal.
Thanks to the CCTV integration and AI models developed by our R&D team, if a person detected in camera footage is in a zone with no matching BLE staff card signal, the system can treat that as a “card-less person” event event.
That way the scenarios BLE RTLS cannot see on its own — a card not being carried, or no card signal at all — are covered by video analysis.
The AI model detects human presence in the image.
The camera's field of view is matched to the RTLS zone.
The system checks whether there is a card signal in the same zone.
If there is no match, an event is raised and sent to the people concerned.
Detects human presence together with the relevant camera and zone.
Provides the identity and position of the staff cards present in the zone.
Compares AI human detection against BLE card presence by time and by zone.
This capability is not an alternative to the BLE system. It is a second sensing layer that complements the RTLS infrastructure by confirming human presence in the physical world with a camera. The reliability of the project no longer depends on card-wearing discipline alone.
A staff card does not stop working when it leaves the factory gate.
A BLE Gateway fitted to a shuttle vehicle can read the same staff card used in the plant. The gateway sends data to Createch Cloud over the vehicle telemetry unit or a 4G/5G connection.
That lets a person boarding the shuttle, arriving at the site and moving around inside it all be joined under the same digital identity: shuttle occupancy analysis, transport processes, entry/exit flow and in-plant RTLS data are related on one platform.
The same card used in the plant is carried.
The in-vehicle Gateway detects and records the card.
Data is carried by the telemetry unit or over the mobile network.
The flow is related to the in-plant RTLS data.
Staff member detected on the shuttle vehicle.
The shuttle reached the plant site.
Staff member seen in the production zone.
Real accuracy has to be assessed together with the RF environment, Locator geometry, mounting and calibration.
An accuracy commitment should be defined only after a site survey, RF analysis and a pilot installation. That produces a measurable acceptance criterion based on real plant conditions rather than a theoretical figure.
The Createch BLE Location Platform brings different operations together on the same location and identity layer. Infrastructure that starts with staff tracking can grow into forklift safety, pallet and equipment tracking, warehouse counting, shuttle vehicles and CCTV/AI verification.
One shared BLE network across plant and mobile operations, so the investment is not tied to a single problem.
Staff, forklifts, pallets and equipment all meet on the same location and identity layer.
Human detection by CCTV and the card-less person event: a second sensing layer in action.
Solving today's need while running tomorrow's use cases on the same infrastructure, so the investment is not tied to a single problem.
CreaAI is an in-house artificial intelligence layer that runs inside the platform. Live data from the field is indexed as vectors and interpreted together with a language model; the question asked is answered within seconds, and the same result turns into an Excel report.
BLE location data, drum status, geofence breaches, event records and production data collected from factory machines all accumulate on the same platform. CreaAI sits on top of that: instead of raising a report request, building a filter or hunting for the right screen, you ask the question in your own words.
The model is hosted on the infrastructure the platform runs on. Questions and records are never sent to a third-party AI service; the answer is built from the organization's own data, and the records it came from are listed.
Location, telemetry, sensor, alarm, event and production records land in CreaAI's data layer the moment they are created on the platform. There is no separate transfer job or overnight batch load to wait for.
Records and text are converted into embedding vectors and stored in a meaning-based index. Similar records sit next to one another in that space, so search works on meaning rather than keywords.
The vectors closest to the question are selected and given to the in-house language model as context. The answer is built from the organization's real records, not the model's general knowledge.
The result appears in the chat as text and a table. The same result can be turned into an Excel, CSV or PDF file and shared in one step.
Using CreaAI needs no query language, report design or knowledge of the screens. You write the question in everyday language, and the answer comes back as text, a table and a short comment together.
Which records were used appears beneath the answer. To narrow the result, move it to a different period or change the breakdown, you simply carry on in the same conversation.
Rank the lines with the most downtime last shift, and the causes, by duration.
I scanned 412 event records from the night shift. Total downtime 96 minutes; the three longest causes are below.
| Line | Downtime cause | Duration |
|---|---|---|
| Line 3 | Feed wait | 38 min |
| Line 1 | Sensor alarm | 24 min |
| Line 3 | Operator intervention | 17 min |
| Line 2 | Maintenance | 11 min |
| Line 4 | Material change | 6 min |
The feed waits on Line 3 recur in all of the last three shifts; you may want to look at them alongside the forklift position records.
List the vehicles that breached a geofence this week and how long each breach lasted.
Boundary breach records are grouped by vehicle and zone, xlsx can be downloaded.Which zones had the most forklift-to-pedestrian near misses yesterday?
RTLS trace records zone and hour breakdown, with risk density ranked.Show the mixers that discharged outside the plant yesterday.
Geofence breaches by drum status assessed on the same time axis.Report the machines with the most faults last month and their downtime.
PLC and SCADA event records are collected per machine and downtime cause grouped accordingly.Report the sensors that breached a threshold this week and for how long.
Sensor, threshold, duration and recurrence count in one table, with an optional PDF summary.List the 5 vehicles with the highest fuel consumption per km last month.
Trip and fuel records are combined per vehicle and summarized by deviation is calculated.The answer on your screen turns into a shareable file in one step. Columns, breakdown and sort order are built exactly as the question described them, with no template to prepare.
| Line | Downtime cause | Events | Total duration | Avg. duration | Share |
|---|---|---|---|---|---|
| Line 3 | Feed wait | 9 | 38 min | 4.2 min | 40% |
| Line 1 | Sensor alarm | 6 | 24 min | 4.0 min | 25% |
| Line 3 | Operator intervention | 4 | 17 min | 4.3 min | 18% |
| Line 2 | Maintenance | 2 | 11 min | 5.5 min | 11% |
| Line 4 | Material change | 3 | 6 min | 2.0 min | 6% |
Headers, formatting and number alignment come ready. Summary and detail can be produced on separate sheets, and the file is ready to share as it is.
A raw table for moving into your own analysis tools, with column order and encoding kept fixed.
A one-page summary you can take into a meeting, with a short comment and a chart beside the table.
A question asked once can be made recurring: the report is produced automatically on the chosen day and time and sent to the people concerned.
CreaAI is an in-house model: it is hosted on the infrastructure the platform runs on. Questions, records and the reports produced are never sent to a third-party AI service.
The model and the vector index run on the platform's own infrastructure. Location, production, staff and customer data never leaves the organization, and no query is sent to a service open to the internet.
CreaAI sees only the data the asking user's platform permissions allow. A record the user cannot see on screen cannot enter the answer either.
Every answer lists the records it was produced from. A line in the report can be traced back to its source record, so the result stands up to audit.
Scattered data sources, legal compliance obligations and a lack of machine visibility all hit production directly.
When data from different equipment and vehicles cannot be gathered in one place, operational visibility is severely limited.
Balancing legal obligations — such as no camera recording in restricted zones — against site safety is getting harder.
Not being able to reach camera footage in time at critical moments makes incidents hard to analyze and act on.
Not being able to pull data from robot and machine controllers makes bottlenecks in production impossible to find.
Our automation solution, developed specifically for the concrete and cement sector, detects in real time whether the mixer drum is turning, in which direction and at what speed.
Recording this data continuously provides both quality assurance and operational transparency.
Sensor technology tracks the drum's rotation direction, speed and status continuously.
Mixing data is logged with a timestamp, documenting the whole process.
If a vehicle starts discharging outside its assigned site, the system raises an alarm immediately.
Our system analyses the rotation direction of the mixer drum continuously to detect the moment of discharge automatically. The algorithm reads drum movement in real time and establishes, from position data, which geographic zone the concrete was poured in.
If a pour takes place outside the operating zones defined in advance, the system steps in immediately: it raises an audible and visual alarm and notifies the control center automatically. The speed at which the product was mixed on its way to the site is also logged.
Continuous analysis of drum rotation direction establishes the moment discharge starts automatically.
Which geographic zone the concrete was poured in is confirmed from position data and recorded.
The speed at which the product was mixed on its way to the site is logged.
Pour attempts outside the defined zone raise an audible and visual alarm and notify the center automatically.
At some facilities camera recording is prohibited by law for operational reasons. With Createch's geofence-based camera management system those facilities are marked once on a digital map. The moment a vehicle crosses into the defined facility boundary the cameras switch off automatically, and they come back on when it leaves the site.
This arrangement both guarantees legal compliance and keeps the entire safety record outside the facility unbroken. No manual intervention by operators is needed, the risk of error drops to zero, and legal obligations are managed systematically.
Restricted facilities are marked once on the map, and the system remembers those boundaries permanently.
Cameras switch off as the vehicle crosses the boundary and back on as it leaves — no driver action needed.
Logging when and where the camera switched off and on produces a compliance record.
Zone rules for every vehicle are updated from one platform and monitored in real time.
When a defined event occurs, recording is triggered automatically, and the footage from before and after is merged into a single file and sent to the people concerned.
When an event defined on the system occurs, the camera system is triggered immediately and recording begins.
Footage from before and after the moment of the event is merged automatically and archived as a single file.
The merged event footage reaches the people concerned immediately, enabling strong remote analysis and fast decisions.
We pull data directly from the controllers of factory robots, CNC machines and production equipment (PLC, SCADA, CNC) and bring it together on one central platform.
That makes live status, performance and fault information for every piece of production equipment visible on one screen, and predictive maintenance data keeps unplanned downtime to a minimum.
Data is pulled directly from PLC, SCADA and CNC controllers, bringing different brands and protocols into one structure.
The status, performance indicators and fault information of every robot and machine are monitored from one screen.
Analysing the data collected creates the chance to act before a fault occurs, reducing unplanned downtime.
The concrete gains factory automation integration delivers in production processes.
The status of every robot and machine in the plant is monitored live from one platform.
A central data flow means faults are found faster and response time is shorter.
Predictive maintenance data keeps unplanned downtime to a minimum.
Data integration from machines of different brands and protocols is handled in one structure.
Home-grown engineering strength, sector experience and a way of working focused on measurable results.
Through our in-house R&D center we develop innovative, sustainable solutions built for the needs of industry.
Many years of experience in the sector mean we know the operational needs of sector leaders at first hand.
Our expert technical team provides fast, effective service to keep your operations running.
The solutions are designed to deliver concrete efficiency gains and cost savings in operational processes.
Digitize your processes, monitor your machines and take full control of the field with Createch's industrial automation solutions. From mixer drum automation to factory machine integration, and from geofence-based camera management to event-based recording, we put together solution packages for your specific needs.
Get in touch for detailed information, project consultancy and demo requests. Our technical team is ready to put together an automation solution for you.