TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - A New Approach: Passive Smart Dust for Detection of Hazardous Substances N2 - Remote sensing of hazardous substances is a key task that can be achieved with the help of remotely operated platforms equipped with specific sensors. A huge variety of methods and used vehicles have been developed for different purposes in recent years. The term smart dust refers to a science fiction novel and develop shortly after into a research proposal at UC Berkley funded by DARPA. Subsequently, the topic gained attraction but was overall considered as to complex for the technologies available at that time. In the launched passive smart dust project, we shift to a simple “chemical intelligent” passive sensor particle on the ground combined a read-out active sensor attached to an Unmanned Aerial Vehicle (UAV). The reactive particle surface can be preadjusted in the lab for exact desired properties regarding certain reactions to hazardous substances. Moreover, the aimed interaction with the active sensor can be modified. Planed applications allow for different materials e.g., for short time measurement, being ecologically degradable, or weather stable for long time monitoring. T2 - 38th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Poros, Greece DA - 20.09.2022 KW - Smart Dust KW - Drone KW - Remote Detection KW - Hazardous substances PY - 2022 SP - 1 EP - 2 CY - Athens, Greece AN - OPUS4-55925 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Passive Smart Dust For Detection Of Hazardous Substances N2 - High demand for remote sensing of hazardous substances. Possible solution: Use of distributed, low cost, and environmentally safe particles as passive sensors that can be read out remotely Chemical intelligence on the particle surface can be easily modified Particles enable optically quantifiable response and inference of target substances (also no maintenance or power supply required T2 - 38th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Poros, Greece DA - 20.09.2022 KW - Smart Dust KW - Drone KW - Remote Detection KW - Colorchanging Particles PY - 2022 AN - OPUS4-56025 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Passive Smart Dust: A versatile low-cost sensor platform N2 - Beschichtete Zellulose Partikel als kolorimetrische passive Sensoren, die mittels optische Kamerasystem einer Drohne erfasst werden. Somit können Gefahrenstoffe, in ersten Versuchen z. B. Säuren aus sicherer Entfernung, kostengünstig und umweltverträglich detektiert werden. T2 - SMSI 2023 Sensor and Measurement Science International CY - Nuremberg, Germany DA - 08.05.2023 KW - Passive Smart Dust KW - Drone KW - Colorimetric sensor particles PY - 2023 AN - OPUS4-57526 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Passive Smart Dust zur Erkennung gefährlicher Stoffe N2 - Einsatz/Verteilung kostengünstiger und umweltfreundlicher Partikel als passive Sensoren und optische Detektion per Kamerasystem. Die einfache Modifikation chemischen Farbstoffe auf der Partikeloberfläche liefert eine optisch quantifizierbare Reaktion und Rückschlüsse auf die Zielsubstanzen. T2 - Lange Nacht der Wissenschaften @ BAM 2023 CY - Berlin, Germany DA - 17.06.2023 KW - Passive Smart Dust KW - Drohne KW - Kolorimetrische Sensoren KW - Cellulose PY - 2023 AN - OPUS4-58140 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Drone-based Localization of Hazardous Chemicals by Passive Smart Dust N2 - We introduce a passive smart dust concept as a novel solution for environmental monitoring. Utilizing chemical reagents like colorimetric indicators and other chemosensors, these particles detect varying environmental conditions. We developed paper-based sensors that are both cost-effective and eco-friendly. In practical tests, these sensors, dispersed over a designated area, successfully identified hazardous substances by changing their color when exposed to acids or bases. This color change was remotely detectable using a drone-mounted color camera. The data thus obtained was processed through specialized software, accurately pinpointing areas of contamination. This method proves the efficacy and scalability of passive smart dust technology for real-time, environmentally sustainable remote sensing of hazardous materials T2 - 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) CY - Grapevine, Texas, USA DA - 12.05.2024 KW - Indicator KW - Passive Smart Dust KW - Colorimetric Sensor KW - Drone KW - Cellulose KW - Environmental Monitoring KW - Confetti KW - Hazard Detection PY - 2024 SN - 979-8-3503-7053-9 VL - 1 SP - 1 EP - 3 PB - IEEE CY - Piscataway, NJ 08855-1331 USA AN - OPUS4-60176 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Passive Smart Dust a versatile low-cost sensor platform N2 - Coated cellulose particles as colourimetric passive sensors that are detected by the optical camera system of a drone. In this way, hazardous substances, e.g. acids, can be detected from a safe distance in a cost-effective and environmentally friendly way. N2 - Beschichtete Zellulose Partikel als kolorimetrische passive Sensoren, die mittels optische Kamerasystem einer Drohne erfasst werden. Somit können Gefahrenstoffe, in ersten Versuchen zB Säuren aus sicherer Entfernung, kostengünstig und umweltverträglich detektiert werden. T2 - SMSI 2023 Sensor and Measurement Science International CY - Nuremberg, Germany DA - 08.05.2023 KW - Passive Smart Dust KW - Drone KW - Colorimetric sensor particles KW - Remote detection PY - 2023 DO - https://doi.org/10.5162/SMSI2023/C5.3 SP - 1 EP - 2 AN - OPUS4-57527 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nerger, Tino A1 - Neumann, Patrick P. A1 - Weller, Michael G. T1 - Passive Smart Dust Localization of Hazardous Chemicals N2 - Use/distribution of cost-effective and biocompatible pieces of cellulose paper as passive optical chemosensors and readout by the camera system. Modification of the paper surface using various chemically sensitive dyes (indicators) provides an optically detectable reaction and conclusions about the target substances and precise location. T2 - 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN) CY - Grapevine, Texas, USA DA - 12.05.2024 KW - Indicator KW - Passive Smart Dust KW - Drone KW - Colorimetric Sensor KW - Cellulose KW - Confetti PY - 2024 AN - OPUS4-60175 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -