Edge AI and IoT
Edge AI and IoT means collecting sensor and device data in the field and processing it on site with AI models, without sending it to the cloud first. ORELSIS builds solutions that collect data from field devices, run models on edge hardware and pass results to enterprise systems. Together with the RTLS and IoT infrastructure of our group company BEYTECH, we also add asset, vehicle and personnel location to that flow.
Sensor data in the field is either never collected or sent to the cloud and processed too late. Network outages halt decision-making. Location, status and quality data stay in separate systems.
Process field data where it is created and act on it immediately
Edge inference
Runs models on edge devices for low-latency results and keeps working when the network drops.
Sensor data collection
Continuously collects temperature, vibration, pressure and energy data over standard protocols.
Location with RTLS
Combines asset, vehicle and personnel location from BEYTECH RTLS with production data.
Anomaly detection
Detects deviations from the normal operating profile and alerts the right team immediately.
Predictive maintenance
Predicts failure risk from equipment condition data and passes the maintenance work order to OREL IMS.
Device management
Centrally manages the versions, configuration and health of edge devices.
How we deliver it
- 01
Survey the site
We review on site which parameters to measure, your existing sensors and machines, and network conditions.
- 02
Connect the devices
We connect sensors, PLCs and RTLS tags to edge gateways via protocols such as MQTT and OPC UA.
- 03
Move the model to the edge
We optimise anomaly detection and vision models for edge hardware and run them on site.
- 04
Connect to enterprise systems
We pass events and summary data produced at the edge into your maintenance, quality and production systems.
Products behind this solution
Frequently asked questions
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