The mission of the Object Memory Modeling Incubator Group is to define an object memory format, which allows for modeling of events or other information about individual physical artifacts - ideally over their lifetime - and which is explicitly designed to support data storage of those logs on so-called smart labels attached to the physical artifact.
barcoo is an App which supports allows for scanning barcodes with a mobile phone. It links products in stores with independent consumer information. Examples include product information and assessments, price comparison, test reports, health, and sustainability information.
The Smart-Its project is interested in a far-reaching vision of computation embedded in the world. In this vision, mundane everyday artefacts become augmented as soft media, able to enter into dynamic digital relationships. In our project, we approach this vision with development of "Smart-Its" - small-scale embedded devices that can be attached to everyday objects to augment them with sensing, perception, computation, and communication. We think of these "Smart-Its" as enabling technology for building and testing ubiquitous computing scenarios, and we will use them to study emerging functionality and collective context-awareness of information artefacts.
Welcome to the website of the project SemProM, products keep a diary: smart labels give products a memory and support intelligent logistics. Within the IKT-2020 research program of the German Federal Ministry of Education and Research the Innovation Alliance “Digital Product Memory” (DPM) is developing key technologies for the Internet of Things in the cooperative project SemProM. By the use of integrated sensors, relations in the production process become transparent and supply chains as well as environmental influences retraceable. The producer gets supported and the consumer better informed about the product.
Sai, Settipalli, Sheshuvardhan, and Vannurappagari. International Journal of Innovative Research in Information Security, 09 (2):
39-44(May 2023)1. Gas booking system using VB software, Microcontroller and Gas Leakage Detection with SMS by Dr.D.B.Kadam,Sumedha shashikanth patil, Akshay Ananda Kumbhar, Rohit Ankush Tandle. 2. Gas Leakage Detection based on IoT using Raspberry Pi by Deepthi Miriyampalli , Ponnuri Anil Kumar , Abdul Khadir Shaik , Ravichandra Vipparla , Komalphanindra Potineni. 3. LPG Gas Leakage Detection System with GSM Module by Alan M John , Bhavesh Purbia , Ankit Sharma , Mrs. A.S Udapurkar. 4. Gas Leakage Detection Using GSM Module & Arduino with SMS Alert by Mr. Sivaprasad Lebaka, M. Ganga Rami Reddy,K. Devi Priya, N.V. Charan, N.V. Charan. 5. Gas Leakage Detection, prediction & Alert System Using Raspberry Pi & cloud computing by Pranav Mani Tripathi, Saket Kumar, Saksham Kumar, Veeresh Bhalke , Prof. Vidyashree K. 6. IoT Gas Leakage Detector and Warning Generator by Bader Farhan Alshammari , Muhammad Tajammal Chughtai. 7. J.Ding, J.Wang, N.Yuan, and Q.Pan, “The Monitoring System of Leakage Accidents in Crude Oil Pipeline based on Zigbee Technology”, IEEE Changzhou University. https://doi.org/10.1109/mace.2011.5987303.