FACE TO FACE
be delivered . A vision application can also reduce the machine ’ s mechanical complexity . Machine vision is being used for intelligent guided robotics so that robot movements are no longer programmed by default but created by smart mathematical models and advanced software . The software enables the robot to handle variation . AWL applies vision technology in the logistics , general industry and automotive sectors . However , it does not make use of this technology in the same way in these three markets .
AWL distinguishes between metals and logistics products . The technologies it uses for metal products can be applied in the automotive sector and in general industry . It sees a need to recognize objects and determine their position or to calculate their geometry ( which can be done with the same algorithms ). The process for metal products must always be precise e . g . for welding or precisely positioning materials .
In the logistics sector , this involves parcel recognition and finding surfaces on which to place the suction cups . Positioning does not have to be as precise . Putting away a parcel
AWL vision technology .
may be relatively inexact , as long as it falls within a demarcated area .
AWL ’ s software teams and partners also use technologies such as Artificial Intelligence ( AI ) and Augmented Reality ( AR ), as Gerard Ramaker explained .
“ During the COVID-19 pandemic , when we were not able to travel , we delivered some machines to customers and used Augmented Reality to see the customer use the machine ( from a remote location ). We employ artificial intelligence in the logistics sector for the learning curve of robot systems ( for packaging handling or depalletisation , for example ). So , we are increasing our use of Big Data each day to analyse this . It ’ s part of our business ,” he outlined .
Machines are now equipped with software that can be monitored and controlled remotely , taking data security into account . By providing insight into and anticipating machine data , new opportunities arise for machinebuilding companies , such as AWL , to create value for customers , including data-driven improvements in the production process . Better control of the production process enables manufacturers to reduce costs . AI ( Artificial Intelligence ) is increasingly playing
a role in generating trends from data with predictive values for production forecast and machine maintenance .
Production processes are also becoming smarter . Examples include advanced software for virtual prototyping and simulations that run parallel to the physical construction ( digital twins ). This makes it possible to start testing and preparing a new machine design at an earlier stage ( virtual commissioning ). This is important because both the time-to-market and the product lifecycle are becoming shorter . Simulation technology has therefore become a useful tool for AWL ’ s project and software developers .
“ The entire simulation process is becoming more and more important in the metals industry and we have a lot of experience with simulation in the logistics industry . For example , simulation and AI technology has helped us to understand the intricacies of unloading a pallet ( where boxes may not be perfectly arranged ). That led to us employing robots and vision systems for this . We can ensure that the robot is doing the right thing , at the right moment , using AI which means higher speeds , greater performance and better returns for our customers ,” concluded Niels van ’ t Hul . n
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From coil to cabinet
With a value proposition for manufacturers active in the electrical enclosures and power distribution industry , Dutch companies WEMO and AWL entered into a worldwide strategic partnership last year . The aim is to further automate productivity and flexibility in the production process , from coil to cabinet , for their customers .
AWL and WEMO still see a lot of manual labour and batch production in the electrical enclosures and power distribution industry . Productivity can therefore be much better , they explained . Based on proven technologies and successfully completed projects , they made this production concept globally available .
“ WEMO ’ s tight bending tolerances and AWL ’ s precision laser-welding solutions mean that no rework is required , resulting in a much faster production process . Our solution guarantees the fastest and most efficient production process for a perfect product , simultaneously lowering unit cost ,” explained WEMO .