Object recognition for robotics

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The automation of many areas is simplified by object recognition with synergistic AI sensor technology and new photonic concepts. New technological developments are laying the foundation for new applications that bring greater efficiency, flexibility, and sustainability to various industries. Continuous research in these areas will be crucial to fully exploiting economic potential and creating future-proof solutions, e.g., in the agricultural sector for food production for the world’s population. harvest by handharvesting by robots Climate change, resource scarcity, and rising costs are putting pressure on agriculture worldwide. In view of increased competition and growing dependence on world market prices, most agricultural businesses have increasingly developed into agile medium-sized commercial enterprises, moving away from small farms that were mostly run as a sideline. Profitability and innovative courage for the future; robots instead of manual labor Digital automation in agricultural businesses has the potential to fundamentally change the agricultural sector. It can help farmers achieve higher and better yields and feed the growing world population in a resource-efficient and sustainable manner by making optimal use of available farmland, using environmentally friendly inputs, and efficiently addressing climate fluctuations through smart irrigation and site-specific application technologies. Soil sensors, camera-equipped drones, and field robots that mow, hoe, harvest, and specifically detect weeds are transforming labor-intensive manual work in agriculture into a field of innovation and research for technological progress. Recent studies show a billion-dollar potential for smart, scalable agricultural technologies. Advances in innovative agricultural technologies—such as robotics—increase the efficiency and profitability of agricultural businesses, create jobs, and drive economic growth (european comission). Artificial intelligence instead of herbicides or pesticides An intelligent and responsible approach to nature and our resources can be achieved through sensor technology and artificial intelligence. The latest photonic sensor technologies with object recognition, which can distinguish between crops and weeds, detect plant diseases, and optimally estimate nutrient deficiencies and water requirements in order to achieve optimal harvest results, are more beneficial to farmers than the previous preventive large-scale use of harmful pesticides, excessive fertilizer use, or water waste. Advanced measurement methods, precision sprayers, and mobile drones coupled with data-driven AI ensure that plants receive exactly the right input, in the right place, at the right time. This results in higher and better yields, reduced emissions, and less harmful effects on the environment and our quality of life. Technological innovations save money in the long term, are sustainable, and increase agricultural yields. All Posts application eng Nicht kategorisiert project talk A3 silicon compatible detectors for object recognition mehr zum Leitprojekt erfahren Application example: Object recognition and intelligent sensor technology in agriculture Detection of different plant species, estimation of fruit ripeness, detection of pest infestation, etc. In 2021, a total of 2.3 billion people (29.3% of the world’s population) did not have reliable and secure access to adequate and sufficient food. The United Nations’ SDG 2 aims to achieve “zero hunger.” Approaches such as vertical farming, artificial intelligence, and the use of drones […] can contribute to achieving this goal in the long term (european comission). We work with you to design the future of sensor technology! Do you have an idea for an application involving intelligent sensor technology, but don’t know how to implement it? Take advantage of our expertise and arrange a free, no-obligation consultation with one of our project staff. appontment request Strong partners in jount research and science project Research and development at the highest level, funded by the Federal Ministry of Education and Research read more All Work /Anwendung Objekterkennung für die Robotik Lichtmodulatoren in der Biomedizinischen Anwendung Effiziente neue sensorische Entwicklungen in der medizinischen Diagnostik subproject All Work /Projekt B2 Optoakustische Sensorik B1 MEMS-basierte Bildgebung in streuenden Medien A3 Silizium-kompatible Detektoren für die Anwendung in der Objektidentifikation

spatial light modulators in biomedical applications

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Diseased and healthy tissue types can be determined more precisely and visualized spatially with the help of area light modulators In surgery, medical microscopy and endoscopy, micromirrors with significantly higher modulation frequencies enable better image quality and thus make a significant contribution to the success of medical treatment microscope 150 years agomicroscope today Milestones in medical technology The forerunner of the endoscope was an invention by Philippe Bozzini (1773-1808). The “light guide” device consisted of a system of tubes, a concave mirror and a candle holder. Another physician, Antoine Jean Desormeaux (1815-1882), added a lens system and replaced the candle with a gas arc lamp, which improved the illumination. Desmormeaux was the first to perform successful operations on patients. Today, almost all medical specialties use a variety of rigid and flexible endoscopes for better diagnosis and surgical support. Sophisticated, innovative optics make it possible to differentiate tissue types and perform minimally invasive operations on patients. It is important to the scientists of the OASYS project to improve the image quality for the observing physician through technical innovations. The modern method of light microscopy faces major challenges The permanent illumination of medically sensitive samples such as living cell tissue is increasingly causing damage through light radiation. In order to minimize the so-called photo-toxic effect and protect the sample, the illumination must be selectively limited to the area to be examined. Our scientists are developing semiconductor chips with several million miniature mirrors, which help to modulate and direct the light in high-resolution microscopes in order to examine the living cell and tissue samples. Around 1.6 million people in Germany are living with cancer that has been diagnosed in the last 5 years. An estimated 4.5 million people have been diagnosed with cancer in the last 25 years (Robert Koch Institute). Analyzing cancer cells and their movement patterns Researchers in live microscopy can use suitable methods to observe human tumors, e.g. tissue removed directly after surgery and stained with florescence. Today, cell movements can be analyzed live and new insights can be gained. It is possible to observe how cells and their nuclei literally squeeze through the tissue. This allows conclusions to be drawn about the aggressiveness of the type of cancer. Imaging methods developed through research are used in many areas of biotechnology and medical technology. The invention of the optical high-resolution fluorescence method has led to an explosion in biological imaging. Bioscience can now image cellular characteristics in unprecedented detail ( European Commission). We design the future of sensor technology with you! Do you have an idea for an application with intelligent sensor technology, but don’t know how it could be implemented? Take advantage of our expertise and arrange a free, no-obligation meeting with our project team. appointment request Strong partners in jount research and science project Forschung und Entwicklung auf höchstem Niveau, gefördert vom Bundesministerium für Bildung und Forschung Read more All Work /application spatial light modulators in biomedical applications more efficient sensory developments in medical diagnostics intelligent sorting by textile type in recycling the project All Work /project B2 optoacoustic sensors B1 imaging in scattering media based on MEMS technology A3 silicon compatible detectors for object recognition

more efficient sensory developments in medical diagnostics

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Medical diagnostics are supported today by numerous optical and electronic sensor developments With artificial intelligence and new smart highly sensitive sensors, it is possible to obtain better precise clinical images and significantly improve results surgery 100 years agotechnology today Milestones in medical technology Around 125 years ago, Röntgen was honored with the Nobel Prize, which set the development of modern medical diagnostic procedures in motion. Today’s optical procedures are often less harmful to patients and provide much more detailed imaging. If you look at an operating room today, you will notice the wide range of technical devices that significantly support the surgeon’s work. Optical and acoustic procedures such as ultrasound, for example, allow tissue types and various tissue layers to be “x-rayed” and made visible to us on monitors. The German healthcare system faces enormous challenges in the coming years Workflows in the operating theater, diagnostic procedures and medical care for the rural population will continue to evolve in the future. Autonomous robots, innovative and improved medical devices will alleviate the shortage of specialists and help to identify and treat illnesses more quickly, more specifically and more accurately. We want to help find medical solutions that can increase efficiency in the prevention, diagnosis and treatment of patients, not only in urban hospitals but also on the move in doctors’ surgeries and for the safe care of the rural population. In our opinion, smart, non-invasive and easy-to-use sensor systems can make a significant contribution to this. Affordable and available healthcare can sustainably reform and improve the healthcare system through technical innovations and the use of artificial intelligence. Die Forschung auf diesem Gebiet ist hoch innovativ und das OASYS Projekt setzt schon heute auf interdisziplinäre Kooperation zwischen verschiedensten Spezialisten, wie Medizinern, Geräteherstellern, Ingenieurinnen und Wissenschaftlerinnen. Mit gebündelter Kompetenzen kann man mehr erreichen. Digitalization in the healthcare sector can strengthen and further develop the high quality and efficiency of German healthcare (Federal Ministry of Health). Medical sensors help to detect chemical messengers in the body quickly and precisely There is a great need for sensory products that collect, analyze and evaluate data on body chemistry quickly and precisely. Systems medicine is essential in order to better understand the mechanisms of certain diseases and to derive individual prevention and treatment options. Personalized medicine means understanding molecular life processes in cells and organisms even better and using medical informatics to develop solutions by linking data from clinical treatment and biomedical research. The individualized therapy schemes of systems medicine, which AI computer models suggest, are based on numerous physiological and clinical data sets (Federal Ministry of Education and Research). We design the future of sensor technology with you! Do you have an idea for an application with intelligent sensor technology, but don’t know how it could be implemented? Take advantage of our expertise and arrange a free, no-obligation meeting with our project team. request appointment Strong partners in jount research and science project Forschung und Entwicklung auf höchstem Niveau, gefördert vom Bundesministerium für Bildung und Forschung read more All Work /application more efficient sensory developments in medical diagnostics intelligent sorting by textile type in recycling sensory assistance in sorting systems The Project All Work /project B2 optoacoustic sensors B1 imaging in scattering media based on MEMS technology A3 silicon compatible detectors for object recognition

intelligent sorting by textile type in recycling

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Smarter textile sorting of dirty clothes with chemical sensors Easy sorting and recycling of clothes with artificial intelligence and infrared spectrometer in automation unknown dirtwith spectrometer Analysis and determination of textiles in recycling Recycling and the circular economy are an issue not only in Germany, but worldwide. In order to counteract the trend towards fast fashion and to be able to reuse clothing that is hardly ever worn, sorting by textile type and sensory detection, including stain detection, is of crucial importance. Clothing can be scanned non-destructively using an infrared spectroscope, even on a conveyor belt. The type of textile and the composition of stains are analyzed in real time. AI algorithms are used to separate by fiber type, washing program or general condition. This gives valuable textiles a new lease of life and contributes to a cleaner environment. Smart washing machines and easier sorting in industrial laundries Who hasn’t experienced torn labels and not being sure at what temperature the clothes will be damaged? In future, a smart washing machine with a textile sensor will be able to help us make the right decision when choosing a washing program or warn us that our favourite woollen sweater cannot be washed at 60 degrees. For hospital and hotel laundry, a spectrometer can help to analyze stubborn stains and thus provide a recommendation for stain treatment. In Europe, 7.5 million tons of textile waste are generated every year, of which less than one percent is recycled, although recycling rates of 18 – 26% are estimated to be realistic by 2030. (McKinsey) Smarte Waschmaschinen und erleichterte Sortierung in Industriewäschereien Wer kennt das nicht, abgerissene Etiketten und man ist sich nicht sicher bei welcher Temperatur die Kleidung schaden nimmt. Eine smarte Waschmaschine mit Textilsensor wird uns in Zukunft unterstützen können, die richtige Entscheidung für die Auswahl des Waschprogramms zu treffen oder uns warnen, dass der Lieblingswollpullover nicht bei 60 Grad zu waschen ist.  Auch bei Krankenhaus und Hotelwäsche kann ein Spektrometer hartnäckige Flecken analysieren und somit eine Empfehlung für die Fleckbehandlung geben.    Simply recognize plagiarism Today, most counterfeits are barely recognizable to the naked eye. To save costs, counterfeit handbags, wedding dresses, sports shoes, Persian carpets etc. are made from cheaper materials that can contain considerable amounts of harmful substances. Instead of leather, artificial leather is used; instead of pure silk, polyester is used; instead of wool, a blended fabric is used. A miniaturized infrared spectrometer helps to identify differences clearly and quickly. Labels and brand labels offer no security, a scan with the spectrometer creates trust and offers certainty for all stages of a supply chain, from fabric purchasing to production, intermediate trade, customs control, through to the specialist retailer and end customer. 7% to 10% of global trade is counterfeit and pirated. This causes an estimated economic loss of 200 to 300 billion euros per year and destroys more than 200,000 jobs in the EU. (European Commission) We design the future of sensor technology with you! Do you have an idea for an application with intelligent sensor technology, but don’t know how it could be implemented? Take advantage of our expertise and arrange a free, no-obligation meeting with our project team. appointment request Strong partners in jount research and science project Forschung und Entwicklung auf höchstem Niveau, gefördert vom Bundesministerium für Bildung und Forschung Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.   DIN Zertifizirung und industrielle Norm Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Hintergrund, Expertise,… Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Duis risus. Nullam sit amet magna in magna gravida vehicula. Integer imperdiet lectus quis justo. Etiam ligula pede, sagittis quis, interdum ultricies, scelerisque eu. Etiam bibendum elit eget erat. Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Sed elit dui, pellentesque a, faucibus vel, interdum nec, diam. Etiam bibendum elit eget erat. Fusce nibh. Nulla pulvinar eleifend sem. Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt. Praesent id justo in neque elementum ultrices. Maecenas lorem. In convallis. Suspendisse nisl. Nulla turpis magna, cursus sit amet, suscipit a, interdum id, felis. Donec iaculis gravida nulla. Cras elementum. Duis ante orci, molestie vitae vehicula venenatis, tincidunt ac pede. Curabitur ligula sapien, pulvinar a vestibulum quis, facilisis vel sapien. Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo. Aenean vel massa quis mauris vehicula lacinia. Integer imperdiet lectus quis justo. read more All Work /eng intelligent sorting by textile type in recycling smart sorting by textile type in recycling Interviews All Work /talk intelligent AI solutions for hyperspectral imaging

intelligent AI solutions for hyperspectral imaging

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intelligent AI solutions in hyperspectral imaging Heinrich Grüger is a physicist, holds a doctorate in materials science and works in the OASYS project in the hyperspectral imaging cluster as lead project manager at the IPMS in Dresden and Cottbus. He has been developing sensors and sensor systems at the Fraunhofer IPMS (Institute for Photonic Microsystems) for over 25 years and has a personal passion for optical spectroscopy, particularly in the near-infrared (NIR) spectral range. This is the range that can no longer be seen with the normal eye, but which is used in everyday life for information transmission, e.g. in TV remote controls.   “I always find it super exciting when our microsystems technology, i.e. the smallest objects and nanometer-thin layers, meet the real world ” Scientist Heinrich Grüger explaining his work at the Long Night of Science in Dresden The well-researched method of NIR spectroscopy can be used to carry out application-oriented real-time measurements in areas such as food quality, health care or textile recycling. >> Every stain, every fabric, every object has a specific spectral fingerprint  << So what is so special about hyperspectral imaging? Heinrich Grüger explains it to me using an example. If you take a photo of any object with a cell phone, e.g. a T-shirt, it is reproduced on the cell phone display in digital pixels, using the associated color information RGB (red, green, blue). With hyperspectral imaging, on the other hand, the chemical composition of each pixel is also obtained (chemical sensing). This is made possible by near-infrared spectroscopy, in which hundreds of wavelengths are measured simultaneously (so-called spectral channels). The information read out from the wavelengths can now be assigned to each pixel, thus indicating the composition. Each chemical compound has a specific spectral fingerprint. This makes it possible to measure whether a T-shirt is made of cotton or polyester fibers and the corresponding properties can be determined (washable at 40 or 60 degrees). Quite useful if the label on the shirt is missing or no longer legible. Stains on items of clothing can also be identified using this method. >> New fields of application in recycling are opened up by reducing time and costs << With the OASYS project, Heinrich Grüger is now working on an intelligent AI-supported solution for hyperspectral imaging in order to reduce the amount of data collected to a minimum. The composition of a T-shirt does not have to be recorded everywhere. A few measuring points are sufficient, which saves time and drastically reduces the associated costs. >> This new, smarter technology makes it easy to revolutionize many existing and future recycling processes << In the sub-project “A1 intelligent ultra-compact hyperspectral camera”, hardware and software for the compact near-infrared spectrometer are developed as well as the artificial intelligence with corresponding decision algorithms for spectral analysis. The relevant information is extracted from all measurement data, evaluated internally and displayed in a user-friendly way. In the recycling process, this technology is very useful for deciding whether the textile gets a second chance for further use (reuse), whether it belongs in recycling – where the fibers are recovered – or whether it is so used up that it can ultimately only be disposed of or incinerated. >> Better decisions are made on the basis of measured knowledge << With other objects and decision-making processes, for example in fruit sorting plants, algorithms can be used to decide in real time whether the freshly harvested apple is suitable for display in the supermarket or whether it would perhaps be better delivered to the cidery for juice production. Internal bruises in fruit and vegetables can be invisible to the naked eye from the outside, but with harmless near-infrared spectroscopy they become clearly visible. >> The research and development opportunities in the OASYS project fascinate me because the topics are so closely linked to everyday life << Fruit sorting is a particularly good field of application where you can make a contribution. In a short period of 5-8 years, the technology developed will move from the laboratory into everyday life. New technical solutions ultimately enable a targeted contribution to socially relevant topics, such as reducing food waste, avoiding waste or minimizing CO2 emissions.   Heinrich Grüger has been enthusiastic about this at Fraunhofer right from the start. He can work scientifically here and has the opportunity to implement his own ideas. He is delighted to experience his own technological developments in real-life applications. Personally, he is most interested in how the individual sensors developed and, in future, the combination of different sensors with the help of AI can create added value in order to open up new fields of application and thus solve everyday or special problems. >> I would like to explain the topic of MEMS in a child-friendly way on “Sendung mit der Maus”  << Heinrich Grüger has been involved in promoting young talent for a very long time and very intensively. His intention is to get children and young people interested in science and technology as early as possible. One of his dreams is to explain the topic of MEMS (micro-electro-mechanical systems) in a child-friendly way on the “Sendung mit der Maus” TV show, which he really likes because of the simple way it conveys knowledge, in order to get others interested in the topic of microsystems technology.   Application examples apple sorting Easier quality control with intelligent portable spectrometer: Bruises become visible without damaging the fruit All Posts eng Nicht kategorisiert project A1 hyperspectral ultra compact AI camera read more Background & expertise OASYS Cluster A: hyperspectral imaging  By researching promising sensory components, the OASYS project is creating the basis for new technologies in a variety of innovative fields of application that drive the development of better processes, e.g. in the medical field of gentle (non-invasive) examination methods, machine-aided industrial production, optimized process technology, intelligent recycling, modern agricultural production, smart mobility applications and consumer electronics. Read more All Work /Interview Intelligente KI Lösung für die hyperspektrale Bildaufnahme Use cases All Work…