pilot
We connect your first system as a proof of concept
At cap-on, we turn your data into success. Our end-to-end solution combines IoT, cloud, and AI to provide seamless data collection and deep analytics. Optimize your processes and increase efficiency - discover the potential of your data.
Our approach
Digitize your first pilot machine.
All important data at a glance in the cap-on IoT hub
via cap-on IoT gateway for brownfield and greenfield
AI-based anomaly detection as a basis for predictive maintenance
with live view and remote HMI
With cap-on Connect, we help you connect your first system (pilot). Scaling is possible at any time.
With cap-on operations, we ensure that our customers can concentrate on their core competencies and that everything runs in the background.
Together with cap-on, MAAG is not only expanding its offering with profitable AAAS models, but is also digitizing its machine fleet with the help of the cap-on IoT solution.
The systems are monitored in real time and, thanks to the cap-on watchtower, there is a warning of possible failures. As a result, service costs were significantly reduced. In addition, the systems can be further optimized by analyzing runtime data. MAAG and cap-on are currently working on a solution for secure remote access to the HMI in order to prevent further service calls.
ceo
Maag-Ettlinger
We connect your first system as a proof of concept
CTO
An IoT solution for the industrial environment (Industry 4.0) comprises connected devices, sensors and software that are used to optimize production processes, increase efficiency, predict maintenance, and collect and analyze data in real time.
Safety is critical. This includes encrypting data transfers, regular software updates and patches, secure authentication procedures, network segmentation, and protecting physical devices from unauthorized access. All of this is done in accordance with standards such as the ISO27001 standard.
Many IoT solutions are designed to be compatible with existing industrial control systems and software platforms. However, it is important to check this in advance and make adjustments if necessary.
IoT platforms collect data from various sensors and devices. This data is then stored in databases and can be evaluated using analysis tools to gain insights into production processes, make forecasts and support decision-making processes.
The most common use cases include predictive maintenance, asset tracking, energy monitoring, quality control, and automation of production processes.
AI and machine learning are playing an increasingly important role in processing and analyzing the large amounts of data generated by IoT devices. They make it possible to recognize patterns, make predictions and make automated decisions in real time.
Performance can be measured using various key performance indicators (KPIs), including improving production speed, reducing downtime, saving energy, and improving product quality.
Data is read from the machines or systems via the cap-on IoT gateway and transmitted to the cap-on cloud. Specifically, cap-on offers the option of reading relevant data from the PLC using industrial strandards OPC UA, MQTT, S7 or other technical protocols and automatically sending them.The IoT gateway is of course equipped with its own firewall. Alternatively, a customer's inventory data can also be transmitted to the cap-on cloud via a technical interface in order to benefit from data processing.