ADVERTORIALS
Thanks to an adjustable sound cone and small dead zone, the new Leuze ultrasonic sensors of the 420B and 412B series applications. The sound cone can be set via an IO-Link interface to one of the three the respective application. The sensors are able to reliably detect in applications where optical sensors are pushed to their limits. They also detect With a compact housing they are particularly suitable for applications in constrained spaces. All types can be parameterized quickly: Easy setup and operation is possible using the teach button, via the teach input or via IO-Link and versions are available as either switching (HTU) or measuring (DMU) sensors.
Leuze Electronic Ltd
www.leuze.com Minimum effort, maximum safety
Wieland Electric presents the latest grids and safety light curtains
The importance of occupational safety
grows in modern industrial and logistical environments as machines and systems become more complicated. Against this backdrop, Wieland Electric introduces its next generation of safety light curtains and safety light grids, which complement the existing array of optoelectronic protection devices and are distinguished The new SLG4 series safety light grids were designed for applications requiring dependable access protection over wide areas on machines or in production sites. While withstanding temperatures as high as 70°C, the light grids may be put into action swiftly LEDs also enable immediate on-site diagnostics, reducing downtimes. Furthermore, the durable aluminium housing and protection rating IP65/67 in accordance with EN 60529 ensure that the optoelectronic protective devices perform reliably even in adverse environmental situations.
Wieland Electric Ltd. 01483 531213
www.wieland.co.uk
Variable Frequency Drive TDS-3300 in
Railway Applications Train manufacturers face power conversion challenges, such as converting 400VAC 50Hz to 230VAC 60Hz at 3000VA. The TDS-3300 and TDX- control over variable frequencies, addressing voltage and frequency conversion issues.
and fault protection, reducing downtime and operational costs. The TDX-3300, a 3-phase VFD, provides precise control over motor speeds and torque.
Both VFDs showcase superior technical capabilities, ensuring client satisfaction and positioning them for future technological requirements. Relec Electronics and Premium
Relec Electronics 01929 555700
sales@relec.co.uk
www.relec.co.uk 56 DESIGN SOLUTIONS JUNE 2024
60 Plastic bags per minute perfectly positioned
For fully automated pick-and-place applications, it is and translucent objects, as well as objects with complex surfaces. In powerful machine vision software, this is made possible through deep learning methods. TEKVISA has implemented such a demanding application with the support of the MVTec HALCON machine vision software. grip such bags, especially if they lie in disorder and/or are made of translucent material. solution to master this challenge with the help of machine vision. TEKVISA ENGINEERING, with locations in Spain and Portugal, is specializing in the devopment of digital inspection systems for quality control and process automation in industrial environments based on state-of-the-art machine vision technologies. Since its foundation, TEKVISA has pursued the goal of developing and launching particularly user-friendly and advanced systems for a wide range of industries, such as automotive and food. The company has more than 14 years of experience with machine vision systems. In addition to deep-learning-based inspection solutions, TEKVISA also develops sophisticated robotics and bin-picking applications.
Precisely identifying and positioning accessory bags The automation specialist has developed a robot-assisted picking system based on machine vision with deep learning algorithms for a leading manufacturer of wallboards the wallboards in order to enable robots to reliably grab them. Previously, this task was performed purely manually, which was very time-consuming and therefore dragged out the be fully automated. Another goal was to relieve the employees of the monotonous routine task of positioning the bags, so they would be available for more demanding processes. A special challenge had to be taken into account when developing an appropriate These include, for example, fastening materials such as screws, nuts and dowels, pens and highlighters for writing on the whiteboards, pins for the cork wall panels or even sponges for wiping the wall surfaces. Consequently, the bags can vary in size, weight, and appearance. Additionally, they are randomly shaped and, because of their elasticity, may also be compressed, stretched, or deformed in some other way.
Mastering high product variance with machine vision This enormously high product variance presented the engineers at TEKVISA with major reliably detects all conceivable types and shapes of accessory bags and thus enables safe gripping processes. An important feature that had to be considered was that the system should identify those bags on the conveyor belt that could best be picked up by the robot arm based on their position and orientation. “We knew from the very beginning that the solution could only consist of a clever combination of classic machine vision methods and co-founder and CTO of TEKVISA. The system consists of a high-resolution color area scan camera and special lighting
The centerpiece of the application is an innovative machine vision system. It precisely up accurately. In the next step, the robot places the bags with high precision on the
Combination of classic machine vision and deep learning solution selects the optimal candidates for picking in each case. This is done by use of the machine vision standard software MVTec HALCON. The software has a library of over 2,100 operators, including the most modern and powerful deep learning methods. The First, the system is comprehensively trained with sample images using the deep characteristics the bags can have. This leads to a very robust recognition rate – even out and then resupplied into the system. Through repositioning they then take a more favorable position on the conveyor, allowing the robot to pick them up more easily and place them for shipping. Even overlapping and stacked bags can be gripped and picked this way. The system is able to analyze and precisely identify up to 60 bags per minute using the integrated machine vision software.
MVTec Software GmbH +49 (0)89-457695-0
press@mvtec.com
www.mvtec.com
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