With the intelligent, on Machine Learning based EVT Scratch Inspector, the detection of defects on surfaces is very easy. Based on a Deep Learning method, the Inspector detects any distrubances on the surface, similar to the human eye.
The system is based on the EyeVision software and is easily adapted to your applications. The hardware includes the EmSys computing unit and an industrial camera of the supported makers such as e.g. Allied Vision Technologies, Basler, Baumer, Teledyne Dalsa, Flir, etc.
The Scratch Inspector is ready-to-use. The smart system has everything to integrate it directly into a machine. It has 8 in- and 8 outputs to control the machine or to communicate with the PLC and is also equipped with a Profinet option. The system has LED outputs to connect the illumination to the Scratch Inspector.
Features Smart Scratch Inspector
|Based on Machine Learning Algorithms||Interfaces: GigE, USB, RS232, RS485|
|easy integration into:
||communication protocol for:
|Stand-alone system||Headless system|
Via the hardware interface the system can communicate with a tracker-system as well as SCADA or PLC. Different tracker boards and systems can be integrated into the inspection process with the tracker-protocol.
Stand-alone or headless system
The stand-alone-system is available with user interface and can be set up locally. The headless system is programmed remotely from the master computer to upgrade already existing facilities.
Industry 4.0 compatible
Errors in the surfaces are either reported directly via I/O signal or an ejector is activated. Furthermore information can be sent via Profinet interface to the system control. Therefore the smart sensor is easily integrated into an Industry 4.0 environment. A data base connection and a detailed statistic allows the user to directly display the detected errors.