The programmable SIM4x00 Sensor Integration Machine – part of the SICK AppSpace eco-system – is opening up new possibilities for application solutions. Data from SICK sensors and cameras can be merged into a point cloud, evaluated, archived, and transmitted, e.g. to cloud platforms. 8-gigabit Ethernet interfaces are available for 2D or 3D cameras, and in some cases feature a voltage supply over Ethernet (PoE). Sensors can be integrated via IO-Link for distance and height measuring purposes. Thanks to the high-performance multi-core processor featuring hardware support, the SIM4x00 enables image preprocessing and handling of input and output signals in real time. The integrated HALCON library also makes it possible to find solutions for sophisticated image processing tasks.
At a glance
Wide range of connections with 25 interfaces for Ethernet-based fieldbuses, cameras, illumination, sensors, encoders, and more besides
8-gigabit Ethernet interfaces for rapid image transmission
Fieldbus and Ethernet interfaces with communication protocols such as OPC-UA and MQTT provide preprocessed data (edge computing) for the control and for cloud computing in parallel “dual talk”, thereby allowing networking for digital factories.
Precise synchronization of input and output signals
High-performance data processing in industrial automation and IoT gateway to the cloud
Merging very different sensors and cameras is necessary in industrial automation. Good thing there is already a solution for this. The SIM4x00 Sensor Integration Machine optimally unites the capabilities of a high-performance processor with highly flexible multi-sensor and multi-camera data acquisition. A “one-box” solution, it can be put into operation quickly, and the SIM4x00 processes the recorded sensor data individually and/or fuses it into a point cloud, then evaluates, visualizes, archives and, if desired, forwards it to the cloud as IoT gateway pre-processed data. Once there, it is clearly displayed in the context of Industry 4.0 data and evaluated into valuable information which could contribute to the improvement of quality control, process optimization and predictive maintenance. The extensive SICK Algorithm API as well as the large HALCON image processing library are available for sensor data and image processing in the SIM4x00.
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