SICK

In logistics, a pallet isn’t simply a pallet. The German health and beauty chain Dirk Rossmann GmbH, for example, handles various models in its warehouses to make sure each of its 23,000 products get to the right shelves in its 4,732 stores. To ensure that incoming pallets are accurately identified, classified and sorted, the company relies on a complex interplay of sensors and cameras within a pallet-classification system (PACS) and real-time localization system (Tag-LOC). Read on to find out more about the technology behind these systems and how BSS Bohnenberg GmbH implemented this solution: https://lnkd.in/eNUCvPeq #SICKSensorIntelligence #logistics #trackandtrace

Red, green, or blue? 🍭 Products like sweets come in all kinds of colors, so matching packaging with contents is key to maintaining quality. With the Inspector83x and SICK Nova, this can be done directly on the device. By leveraging color imaging, it’s now possible to sort items, detect defects, and verify quality - all at high speed. Discover more here ⏩ https://okt.to/eQCHqY #SensingIntelligence #AI #AnomalyDetection #SICKSensorIntelligence

We are thrilled to announce that we have received a Platinum Medal in the EcoVadis sustainability ranking, placing us among the top 1% of over 130,000 companies evaluated globally in the past year! Achieving a score of 86 out of 100 reflects a 36% improvement from Silver to Platinum, with notable strengths in Environment and Labor & Human Rights (90 points each). This recognition highlights our commitment to transparent sustainability practices since 2013 and our progress in implementing our ESG strategy. As Nicole Kurek, Member of the Executive Board responsible for People & Culture at SICK stated, “For our customers worldwide, the EcoVadis rating is an important factor in trusting the sustainability management of our company and automation solutions and using them to achieve their own sustainability goals.” Together, let’s pave the way for a more sustainable future! 🌍💙 #Sustainability #EcoVadis #CorporateResponsibility

Andreas Wiedholz and Franziska Herrmann were one of the Hackcoaches of last year’s #SICKSolutionHackathon. They work for XITASO, a software service provider for high-end solutions in mechanical and plant engineering. What did they experience at the last years Hackathon? “We’re more likely to be run over by a human than a robot ...” Preferably not at all, of course, but thanks to our work as coaches and the use case "Safe Detection of Humans", we’re confident that we won't be run over by an automated vehicle in the future. 💡 That’s why our use case was tagged with the challenge #makeitsafe. The aim was to conserve and protect resources. Including people. We specifically addressed the detection of humans by sensors - this is important because robot-human collaboration will continue to deepen. 🤜 🤛 Machines must learn to perceive their environment in all directions and also to find their way around new environments immediately. To do this, all sensors must work together. And that was one of the main tasks of the challenge: to calibrate sensors so that the information can fuse. It was fun to see how the participants taught the machines to "see". 👀 So let's see what's in store for them this year! Who would you trust more for human detection? Man or machine? Write it in the comments! 👇 #SICKSensorIntelligence #deeplearning #AGV #sensors #humanmachineinteraction

Small leaks in your compressed air system could be quietly draining your resources. But what if you could not only detect these leaks but also optimize your entire production process? In 2021, a pilot project was initiated in partnership with Fraunhofer IPA to address this challenge and find an automated solution to locate air pressure leaks in industrial productions. Through the integration of advanced sensor technology and AI-driven analytics, the project provided complete transparency in air consumption, reduced costs, and improved efficiency — all while contributing to a more sustainable operation. Learn more about the pilot project and the upcoming developments here: https://okt.to/hmpyT8 #SICKSensorIntelligence #innovation #airpressure #SICKAnnualReport

“The most important thing at a SICK Solution Hackathon: enthusiasm!” Dries Guth, responsible for Co-Innovation at NTT DATA Business Solutions and one of our last year’s coaches, tells us what he took away from the Hackathon and what he expects from the coming event. Well, that may apply to everything in life, but in an event where the aim is to find simple solutions for complicated tasks, the spark of enthusiasm often provides the brilliant idea. 💡 At the #SICKSolutionHackathon, we brought along our it.human – a digital avatar who connects with us humans and gives us recommendations on how we should behave in certain processes. A machine? Can it do that? And can it be trusted? I think so. At the FIBA Basketball World Cup 2023 we equipped the it.human with #ChatGPT technology and the knowledge about basketball. 🏀 This inspired our use case at last year's SICK Solution Hackathon. Under the theme #makeitmove, we looked for approaches to improve agility with the help of a digital human, generative AI technology and motion sensors from SICK. The aim is for machines to help us humans to live and work healthier by giving us specific recommendations. Based on data that we provide them with. Like a sports coach who makes us a better athlete! The biggest challenge at the Hackathon was certainly to keep an overview of the complexity; not to delve too deeply, but to always keep an eye on the big picture. But the participants didn't need machines to do this - they had us as coaches. And I look forward to being part of such exciting events again in the future. With just as much enthusiasm. Many people find the idea of receiving recommendations from a machine strange. How do you feel about this? #SICKSensorIntelligence #deeplearning #sensors

Everyone is talking about AI - but do you have to buy completely new equipment for it? ⚙️ Not necessarily. One central AI software solution, SICK Nova, runs directly on SICK sensors and cameras. It is suitable for a wide range of industries and applications and helps to automate more complex tasks in industrial automation even more easily. "SICK Nova has all the conventional tools for image-based quality control, such as extracting a distance or a diameter for tolerance testing. However, the sensor can also be entrusted with complex detection tasks, such as sorting objects," explains Dr. Ola Friman, Head of R&D Intelligent Machine Vision and Head of Deep Learning Framework at SICK Sweden. Another major advantage is that training the AI is extremely easy thanks to the intuitive web interface. This means that anyone can realize even sophisticated applications quickly and easily, even without prior knowledge or programming skills. But SICK Nova can do even more: the AI can simply be trained to recognize what a "real" object should look like, without having to define what deviations or errors look like. It could hardly be simpler. How relevant is AI and Deep Learning in your industry? 💡 #SICKSensorIntelligence #innovation #ai #safeautomation #SICKAnnualReport

Have you ever wondered how sensors can enhance safety for mobile working machinery? ⚙️ With two robust 3D LiDAR sensors, mobile machinery can actively avoid collisions, continuously monitoring the distance to obstacles, even in challenging conditions like steam, heat, or rain. These are the situations where Safe Brake Assist operates reliably and smoothly! ⏩ Learn more in the video! #SICKSensorIntelligence #SafeProductivity #3DLiDAR

This is Anton Berg, application engineer at Bosch Rexroth. Last year, he was a coach at the #SICKSolutionHackathon. What did he experience there? Find out his impressions of the event in his own words: ⏬ You can learn a lot about yourself in the SICK Solution Hackathon. Even if it's just the side of me that suddenly eats sweets - something I rarely do otherwise. 🍬 But let's get to the important stuff: My task as a coach at the last SICK Solution Hackathon fell under the challenge #makeiteasy. It's not just about transporting something from A to B, but making it as simple and error-free as possible. Making difficult things simple is the great art. The whole industry benefits from this. Keyword: shortage of skilled workers. The simpler the processes become, the more staff can be recruited. Simplicity also means making fewer mistakes. The fewer steps and clicks a task requires, the fewer mistakes are made - and that saves valuable time in the end. Our use case has an impact on many areas of daily life: ⏩ Simplifying the interaction between humans and machines through HMIs. ⏩ Better implementation of AI and chatbots. If you could talk to a machine's chatbot as easily as to a human, it would make everything much easier and more effective. In any case, I was already looking forward to conversations like: "How are you, machine?" - "Thank you for asking. I have a slightly elevated temperature in my circuits today." Well, that sounds a lot like the movie "2001", only in a positive way. 🎞️ But before that could happen, the participants had to overcome various challenges. Firstly, they had to get the AI model up and running and then connect it to the machine. To do this, you had to understand how the control system works. And I could go into so many other things, but the bottom line is that the participants were forced to think about many small building blocks and bring them together. To do this, they had to apply a deeply human trait: the ability to work as a team! Want to know more about the SICK Solution Hackathon? ⏩ Get more Information here https://okt.to/FepOYm #deeplearning #robothuman #sensors #SICKSensorIntelligence

In the construction industry, automation is still rare, but that's changing with innovations like those from the Austrian startup Baubot. Specializing in robotic solutions for construction, Baubot designed technology to handle the unique demands of the sector – mobility, power, and, crucially, safety. 🦺 Baubot’s latest robots, like the MRS12, are equipped with advanced sensors, ensuring safe and efficient operations even in challenging environments such as tunnels. These sensors provide robust collision detection and precise distance measurement, which are essential for maintaining safety without compromising performance. Discover more in the blog ⏩ https://lnkd.in/d2xBcMTc #Robotics #SafeProductivity #Teamwork #SICKSensorIntelligence