Sensors

Light section sensors feature new SmartRunner technology

29th October 2018
Lanna Deamer
0

Complex vision systems are often used for high precision identification and analysis of object shape and position. These kinds of automation tasks can include quality control for finished components, positioning parts correctly on an assembly line, and aligning pieces before they are gripped by a robot. The vision systems used are notoriously difficult to set up and operate, and they require highly skilled users.

Pepperl+Fuchs' new SmartRunner technology makes the functionality of vision systems available in affordable, easy-to-use digital-output sensors. Based on an innovative combination of light section technology and 2D vision, SmartRunner from Pepperl+Fuchs is a family of high precision sensors tailored to the needs of specific applications.

These sensors transform complex profile data into easy-to-process digital signals, making integration into the overall process incredibly simple.

SmartRunner matcher
The SmartRunner Matcher from Pepperl+Fuchs is a compact, camera-based light section sensor that combines both the evaluation process and the interfaces in one device. The device features a specially preconfigured firmware that enables it to specialise in extremely precise profile comparisons.

The user simply has to input the required reference profile using the teach-in mode. After initial setup and configuration-the user simply inputs the required reference profile using the teach-in mode-the Matcher captures an image of each object's line profile.

Using LEDs and a 2D camera, the SmartRunner Matcher compares the current profile to the taught-in reference profile. When the scanned profile matches the reference profile, the Matcher sends a 'good' signal. When the profile deviates from the reference, a 'bad' signal is sent.

One advantage of SmartRunner technology compared with standard vision sensors is the lack of dependence on object contrasts. A 2D vision sensor requires significant object contrasts for it to perform a viable evaluation. In comparison, the Matcher 'sees' succinct shapes and edges, as the projection of a sharply defined laser-line enables clear and unique evaluations.

This makes the system noticeably less sensitive to disruptive extraneous light, reflections, and the influence of various object colors and surfaces. As a result, the SmartRunner Matcher light section sensor can cover a wide range of applications.

SmartRunner detector
In addition to the Matcher, Pepperl+Fuchs also introduces the SmartRunner Detector. This light section sensor is optimised for high precision monitoring, detecting even the smallest of faults. The focus of the Detector is on protecting expensive components and increasing machine availability.

It detects even the smallest unauthorised parts, overlapping, and overhangs. The Detector reliably identifies objects with a minimum size of 0.25mm in a trapeze-shaped measuring range with a width of 350mm at a maximum range of 700mm. Since the SmartRunner Detector evaluates both the laser line on the object as well as the background, the sensor results are always reliable.

The integrated camera also makes it possible to record images in order to document the complete process and assure top quality control. The recorded error images can be uploaded remotely, preventing trips to the factory floor and allowing easy monitoring of difficult-to-access machine areas. The high performance LEDs supply consistent, brightly-lit images. Parameterisation through Data Matrix control codes is also possible.

Crucial industrial vision simplified
Image processing is one of the most crucial and challenging sensor technologies of the future. Until recently, integrating vision sensors into practical applications was difficult and extremely expensive.

The SmartRunner Matcher and SmartRunner Detector by Pepperl+Fuchs offers ready-to-use vision sensors that can be implemented in a wide variety of industries and applications, providing cost and time-saving advantages over standard solutions in difficult sensing environments.

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