The IoT software solution Caberra connects any type of sensor, actuator, hardware device, software application, process step or even human interaction. Caberra provides immediate insight and control to manage the connected devices, applications and interaction independent of their location.
Caberra contains technical and business knowledge to monitor all activities to react automatically and intelligently based upon own or user defined rules and processes. Consequently, Caberra turns information into immediate actions.
Caberra connectors “talk” to devices, its knowledge detects anomalies and the interactions to be executed. Human interaction is an integral part in order to apply the correct mix of actions. Other steps may be executed autonomously.
Caberra not only consolidates devices and applications from various vendors and for different fields of use (Service, Security, Access Control, Facility, Network Management, ...) into one holistic view, it also allows to automate tasks which lead to reliable and immediate actions triggered as IoT data change.
Drive the IoT40 Systems conveyor belt at your own speed and experience how the cognitive connector operates.
Receive alerts directly from Caberra when the conveyor belt is at a critical state.
Speak to a Watson-powered Caberra in real-time and analyse problems
Activate the conveyor belt by clicking Activate Day Shift.
The Activate Night Shift button illuminates the factory floor at night.
You can force the conveyor belt to enter a critical state by moving the slider beneath the video.
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Caberra acquires and contains knowledge and rules for business activities, and sensors continously deliver input to Caberra
As soon as anomalies or irregularities are detected, Caberra takes appropriate steps to act accordingly with actuators, machines, applications or humans
As operators or consumers are directly informed, immediately they can monitor and interact without delay to assure uninterrupted processes
Automated video security
Increased equipment utilization & lifespan
Reduced maintenance cost
reduced down time
digital quality management
automation of knowledge work
smart ressource consumption
real time yield optimization
Reduced waiting times
improved utilization patterns