Relevant bibliographies by topics / Trash Sensor

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Trash Sensor'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Trash Sensor"

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Rahayu, Maya, Muhammad Nurkholis Widlan, Ashari Ashari, and Hutama Arif Bramantyo. "Smart Trash with Web Integrated Volume Monitoring and Sorting System via MQTT Protocol." E-JOINT (Electronica and Electrical Journal Of Innovation Technology) 3, no. 1 (2022): 6–11. http://dx.doi.org/10.35970/e-joint.v1i3.1373.

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The increasing human population makes each year its production increases significantly. People's ignorance to separate the types of waste has triggered various disasters. Many studies have aimed at tackling this problem, such as smart trash bins that can sort various types of organic and inorganic materials and detect waste. However, intelligent trash can products with many functions are not all integrated into one product. In this research, a product has been created that can integrate various smart trash functions with a volume monitoring system and sorting metal, non-metal, and organic wast
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Azmi, Fadhillah, William William, Kevin Kristanto Salim, Tommy Tiara Hartanto, and Felix Tham. "Design of Smart Trash Can Using Fuzzy Logic Algorithm Based on Arduino." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 3, no. 1 (2019): 150. http://dx.doi.org/10.31289/jite.v3i1.2670.

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<span>Smart trash cans use a proximity sensor (ultrasonic) to detect the height of the trash, the PIR (Passive Infra Red) sensor to detect human presence and Arduino as the data processing center. This trash can also has an LED that functions as an indicator and the buzzer functions as an alarm when the trash can is full. If the garbage reaches half of the trash, the LED will turn yellow, if the garbage reaches a height of 4cm from the trash lid, then the LED will turn red and so the trash can will be locked even though the PIR sensor detects humans. Buzzer will live to attract the atten
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Dika, Mahardika Setiawan, Sri Wahyu Suciyati, Amir Supriyanto, and Gurum Ahmad Pauzi. "Smart Green Box Trash Design Based on HC-SR04 Sensor Arduino Uno Integrated." Journal of Energy, Material, and Instrumentation Technology 4, no. 3 (2023): 89–98. http://dx.doi.org/10.23960/jemit.v4i1.115.

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This research has realized the design of a smart green trash box based on the HC-SR04 sensor, which is integrated with Arduino Uno. This research aims to design and build a digital instrumentation system based on Arduino Uno, applying Ultrasonic Sensors to the Green Box Trash System. In addition, this system is equipped with an information display via LCD and speakers so that we can find out the contents of the green trash box. Data retrieval by detecting objects with a distance of less than 10 cm to open the trash and measure the volume in the green trash box. The research results are display
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Tsabita, Putri Amanda, Noer Ramadhan, and Nurhajar Anugraha. "AUTOMATIC TRASH BOX MENGGUNAKAN SENSOR ULTRASONIK BERBASIS ARDUINO UNO." JURNAL TELISKA 17, no. 1 (2024): 1–6. https://doi.org/10.5281/zenodo.10877543.

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This tool is designed to automatically open the lid of the trash box when it detects the presence of users around it via an ultrasonic sensor. The design of this tool requires several components, including Arduino Uno, HC-SR04 ultrasonic sensor, servo motor, and several other supporting components. Arduino Uno is used as the brain of this tool, while the ultrasonic sensor is used to detect the distance between the waste and the sensor. Servo motors are used to open and close the trash box door. This tool works by detecting the distance between the trash in the trash box and the ultrasonic sens
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Zakaria, Normah, Muhammad Faizul Amir Abd Rahim, Arihasnida Ariffin, Norhasyimah Hamzah, Siti Nur Kamariah Rubani, and Tamil Selvan Subramaniam. "Robotic Trash Cans (Smart Trash) at Tourist Facilities." PaperASIA 40, no. 5b (2024): 7–11. http://dx.doi.org/10.59953/paperasia.v40i5b.197.

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This project involves the creation and development of a tool designed to establish a cleaning service in a specific location. The resulting product is Smart Trash. Trash cans are essential for maintaining cleanliness, providing a designated space for people to discard waste materials. The absence of such receptacles leads to littering, detracting from the appeal of areas and discouraging visitors. Maintaining cleanliness is crucial in tourist destinations to ensure the comfort of residents, tourists, area owners, and government stakeholders. This project utilizes a microcontroller integrated w
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N, Reshika. "Autonomous Trash Tracking System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34329.

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Our revolutionary waste management project introduces a comprehensive solution leveraging cutting-edge technology to transform traditional waste disposal systems. By integrating a smart mobile application and sensor-equipped trash cans, our initiative aims to streamline the waste disposal process, addressing challenges such as timing issues, accessibility concerns, and data management inefficiencies. The mobile app empowers users with real-time information on bin availability, optimal disposal times, and recycling practices, fostering a sense of responsibility and environmental sustainability
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Purwaningsih, Sri, Jesi Pebralia, and Rustan Rustan. "PENGEMBANGAN TEMPAT SAMPAH PINTAR MENGGUNAKAN SENSOR ULTRASONIK BERBASIS ARDUINO UNO UNTUK LIMBAH MASKER." Jurnal Kumparan Fisika 5, no. 1 (2022): 1–6. http://dx.doi.org/10.33369/jkf.5.1.1-6.

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ABSTRAK Penggunaan masker telah menjadi kewajiban dan gaya hidup baru bagi masyarakat menyebabkan peningkatan limbah masker. Tempat sampah masker didominasi oleh tempat sampah konvensional yakni pengguna harus membuka dan menutup penutup tempat sampah tersebut dengan menggunakan tangan atau pijakan kaki dan dapat menjadi ancaman sumber penularan baru COVID-19. Pada penelitian ini dikembangkan tempat sampah pintar untuk limbah masker menggunakan sensor dan motor servo berbasis Arduini Uno. Sensor yang digunakan adalah sensor ultrasonik HC-SR04 sebagai pendeteksi jarak dan pengukur volume sampah
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Maya Rahayu, Muhammad Nurkholis Widlan, Ashari, and Hutama Arif Bramantyo. "Smart Trash with Web Integrated Volume Monitoring and Sorting System via MQTT Protocol." E-JOINT (Electronica and Electrical Journal Of Innovation Technology) 3, no. 1 (2022): 6–11. http://dx.doi.org/10.35970/e-joint.v3i1.1558.

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The increasing human population makes each year its production increase significantly. People's ignorance to separate the types of waste has triggered various disasters. Many studies have aimed at tackling this problem, such as smart trash bins that can sort various types of organic and inorganic materials and detect waste. However, it can products with many functions are not all integrated into one product. Purpose of this research is to provide a product that can integrate various smart trash bin functions with a volume monitoring system and sorting metal, non-metal, and organic waste types
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Aldisa, Rima Tamara, Mohammad Aldinugroho Abdullah, and Andilaw Andilaw. "Perancangan Tempat Sampah Anorganik Secara Otomatis Menggunakan Sensor Ultrasonik dan Arduino Uno." Jurnal Sistem Komputer dan Informatika (JSON) 3, no. 3 (2022): 283. http://dx.doi.org/10.30865/json.v3i3.3911.

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Inorganic waste is waste that cannot be decomposed, in the laboratory a trash can has been provided, but there are still many laboratory users who still put, leave waste such as used paper and plastic bottles in any place. can help in facilitating laboratory users in disposing of waste only by using sensors, so a tool is designed that can be easily affordable and easy to use to prevent the amount of waste and piles of waste paper and plastic bottles. The author designed the Design of Automatic Inorganic Garbage Disposal Using Ultrasonic Sensors and Arduino Uno Case Study: Unas Artificial Intel
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Sumarlina, Sumarlina, Abdul Latief Arda, Wardi Wardi, and Munawirah Munawirah. "Home-based Waste Monitoring System using Internet of Things with Fuzzy Logic Method." Journal of System and Computer Engineering (JSCE) 6, no. 1 (2025): 10–24. https://doi.org/10.61628/jsce.v6i1.1538.

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The accumulation of waste in certain locations, especially in residential areas, due to the continuous accumulation of waste can cause environmental disturbances such as disease and unpleasant odors. This system is designed to find out whether the trash bin is full or not by applying fuzzy logic, if the status of the trash bin can be cleaned, it will be handled immediately so that the waste does not accumulate and disturb people around. This system can find out when the last time the waste was taken and the location of the trash bin as a prototype which can later be applied to areas with a wid
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Dissertations / Theses on the topic "Trash Sensor"

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Panascí, Marco. "Vliv dlouhých optovláknových tras na polarizační stav světla a jejich využití pro napájení polarizačních senzorů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442367.

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This diploma thesis deals with the influence of long fiber optic paths on the polarization state of light and their use for powering polarization sensors. The aim of the diploma thesis was to design the arrangement of optical fiber components so that the polarization properties of light at the end of the path are further usable for sensory purposes. Four partial measurements with a long path (in a laboratory setting, laying in the ground, on a curtain, under the influence of external influence) and one measurement without a path under the influence of external influence were designed. The over
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Tena, Blanco Beatriz. "Evaluación y prevención de la cronificación del dolor postoperatorio tras toracotomía." Doctoral thesis, Universitat de Barcelona, 2014. http://hdl.handle.net/10803/283468.

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ANTECEDENTES El dolor postoperatorio puede cronificarse dando lugar al dolor postoperatorio persistente (DPP), definido como aquel dolor que persiste más allá de los dos meses después de la intervención. Existen una serie de factores que se asocian al desarrollo de este tipo de dolor entre los que destacan el tipo de cirugía y la intensidad de dolor agudo postoperatorio así como factores constitucionales aun no claramente definidos. En el caso de toracotomía se ha comunicado la persistencia de DPP hasta en el 50% de los pacientes al cabo de un año según las series. Cuando la agresión
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Nanto, Darack B. "The Eco-Smart Can." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/asrf/2019/schedule/219.

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I noticed that the workers had the same itinerary when emptying trashcans, meanwhile trashcans needed urgently to be emptied. Traditionally, ETSU maintenance operate on daily routes to pick trash on designated time, regardless the level of the containers. This leads to overflown trashcan in busy areas or during rush hours in certain areas. This overflown trashcan result in an unclean environment for the community and an unpleasant look of our beautiful campus. The time, resources and labor invested in collecting the trash could be saved. Therefore, I decided to use the Internet of Things (IoT)
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Books on the topic "Trash Sensor"

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Sollinger, Emily. The trash planet. Simon Spotlight/Nick Jr., 2009.

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Sollinger, Emily. The trash planet. Simon Spotlight/Nick Jr., 2009.

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Temblor del vacío: Últimos diarios poéticos (tras la muerte de Elvira Senior). Ediciones Deslinde, 2020.

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Portocarrero Maisch, Gonzalo, ed. Ecos de Huarochirí: tras la huella de lo indígena en el Perú. Pontificia Universidad Católica del Perú, 2018. http://dx.doi.org/10.18800/9786123173708.

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Desde la primera traducción al castellano de José María Arguedas, se hizo evidente que el manuscrito de Huarochirí es un corpus de narraciones heterogéneas, imposible de interpretarse como una historia única y coherente. Y aunque no se pueda afirmar que se trate de narraciones necesariamente convergentes, sí es claro que todas participan de un mismo universo mitológico. Ecos de Huarochirí. Tras la huella de lo indígena en el Perú, editado por Gonzalo Portocarrero, proporciona un conjunto de reflexiones sobre el manuscrito y ofrece diversas entradas a sus relatos, invitándonos a sentir y buscar
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Dergachevа, Lilia, ed. Stratum Library. Aere perennius. More lasting than bronze. Essays in honour of Valentin Dergachev on the occasion of his 80th birthday. Stratum plus I.P., High Anthropological School University, 2023. http://dx.doi.org/10.55086/sl23vad649.

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This volume is dedicated to the 80th anniversary of the Moldavian archaeologist Valentin Dergachev, researcher of the ancient history of Eastern and Southeastern Europe, the author of more than 160 papers on the Neolithic, Eneolithic and Bronze Age, of which 25 are monographic studies. It is no coincidence that the book is titled with a line from Horace, who discourages Melpomene by the fact that “he has built a monument more lasting than bronze”. Though what could be stronger than bronze and more ephemeral than monuments? In this sense, the fate of monuments, in the protection of which Valent
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Londoño Bernal, Moisés, Johanna Lizeth González Devia, Claudia Marcela Ruiz Paz, et al. De la representación científica a la imagen poética. Universidad Nacional Abierta y a Distancia, 2021. http://dx.doi.org/10.22490/9789586517812.

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En estas páginas, el lector podrá encontrar las experiencias, aprendizajes y legados del laboratorio "De la Representación científica a la imagen poética" y del esfuerzo de las duplas de trabajo conformadas por artistas de diferentes lenguajes y representantes de las ciencias. Duplas o grupos que, al descubrir y redescubrir el mundo a través de la mirada del otro y entendiendo la imagen como un lugar de creación, pensamiento poético y científico, generaron un mosaico o crisol de saberes, ideas, proyectos, propuestas, emociones y sentimientos. Produciendo en el laboratorio como en el libro cono
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Rueda, María de los Ángeles de, and Daniel Jorge Sánchez, eds. Destino circular. Instituto de Historia del Arte Argentino y Americano (IHAAA), 2023. http://dx.doi.org/10.35537/10915/164535.

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El año 1985 es la fecha de lanzamiento de Locura, el disco de Virus que contiene el tema que da título al presente volumen. 34 años después de esa edición, 137 años desde la fundación de la ciudad de La Plata en 1882, 44 años de la creación, en 1975, del Instituto de Historia del Arte Argentino y Americano (IHAAA) perteneciente a la Facultad de Artes (Universidad Nacional de La Plata), continúa resonando en un grupo de investigadores y docentes del IHAAA, la preocupación por sentar las bases para la construcción de una historia del arte platense. Una historia que abarque todas las disciplinas,
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Book chapters on the topic "Trash Sensor"

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Hajimahmud, Vugar Abdullayev, Yudhvir Singh, and Mohit Yadav. "Using a Smart Trash Can Sensor for Trash Disposal." In Revolutionizing Automated Waste Treatment Systems. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-6016-3.ch020.

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To avoid overflowing garbage bins, a sensor is placed in the garbage bin. If the garbage bin is filled, the sensor will search the details about garbage collector and send the notification to a particular person about place, area, and bin number. The garbage collector will clean it. It will reduce noise pollution and many diseases. The chapter mentions the threshold value to fill garbage bins and some specified value will be shown for this garbage bin sensor.
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Tushar, Varun Upadhayay, Shruti Gupta, and Vartika Srivastava. "iGot Garbage." In Demystifying Emerging Trends in Green Technology. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815324099125030009.

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The current waste disposal system in India collects unsorted waste from residences; the daily growth in garbage overwhelms the bins placed in public spaces within towns. The process of manually sorting waste is labour-intensive, inefficient, and only sometimes practical because of the volume of waste. Consequently, the concept of “The Smart Waste Management System, an embedded system comprising three smart bins with contemporary sensors, microcontroller, LCD panel, and Wi-Fi modules,” is explained in this article. We developed a system that uses a sensor to identify trash, opens the target trash can's lid, determines how much trash is there, and then automatically opens and closes the lid. Upon reaching either the average or maximum level, an alert will be transmitted.
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Anand, Abhishek, Abhinav Shrivastav, and Gunjan Aggrawal. "An IoT Based RFID Enabled Automatic Waste Segregator and Monitoring System." In Demystifying Emerging Trends in Green Technology. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815324099125030024.

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The increasing population has led to a significant environmental issue: the proper disposal of a combination of biodegradable and non-biodegradable garbage. This issue is expected to persist as the global population continues to expand. The issue of waste treatment and management is a significant global concern across all geographical areas. The magnitude of its detrimental effects on our society and its environment is immense. The consequences of our haphazard and unregulated garbage disposal practices have become a significant issue for the well-being of both humans and the biodiversity of plant and animal species. By employing appropriate methods of segregation, it is possible to reuse and recycle trash efficiently. Indian Railways carries a daily average of 23 million passengers in India. This project presents a feasible prototype of an automated garbage segregator that efficiently manages the entire system using a microcontroller. The device is equipped with a range of sensors, primarily including an infrared (IR) sensor for detecting the presence of trash, a moisture sensor for detecting water content in the waste, and a metal sensor for detecting metallic waste. Therefore, these sensors are used to detect and identify the specific type of trash that is being disposed of. The microcontroller can regulate and oversee all operations of the system, including the proper disposal of garbage into certain bins categorized by metal, moist, and other materials. The project also focuses on implementing an incentive system that encourages the public to maintain a clean environment. It is achieved using a user-friendly RFID card scanning device, which rewards individuals with points for their efforts in disposing of waste properly. In addition, the entire system is supervised the Wi-Fi module. The objective of this project is to offer a cost-efficient and financially viable alternative for waste management, therefore guaranteeing a pristine and healthful atmosphere. This application is a highly efficient tool for managing and organizing waste, as well as for separating different types of waste.
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Mohan, Sunil, and Shanavas Moosafintavida. "A Perspective of Autonomous Office Trash Collector Robot: The Research and Development in Field Robotics." In Advances in Business Informatics empowered by AI & Intelligent Systems. CSMFL Publications, 2023. http://dx.doi.org/10.46679/978819573220309.

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The proposed autonomous office Trash collection robot (AOTCR) aims to collect office waste and monitor the waste level and content of the smart office waste bin. Intelligent solutions for solving waste collection and disposal problems are sought after everywhere today. In the current situation of our lives, even hospitals/offices and even homes face many problems such as improper garbage collection and disposal. This problem is solved by introducing an autonomous office garbage collection robot (AOTCR). This robot is designed to collect office debris from the workplace or designated locations. The movement of the AOTCR is controlled by programming the Arduino in the robot operating system “ROS”. This is a collection of ROS components (packages) with various features (mapping, map server, planning path, localization, etc.) that work together to enable autonomous robot navigation. The individual components communicate with each other via messages. Here, the Arduino UNO board is used as the central control unit, the ultrasonic sensor is used to monitor the garbage level in the smart trash can, and the sensor is used to provide the garbage content of the garbage. At the same time, the buzzer begins to sound, indicating that the bin is full and communicating with the server. Using this data, the AOTCR identifies bins that fill the floor/workstation and travel a single predefined path for the laser scan (rider) sensor. LIDAR sensors and ROS navigation help you return to the starting position after the centre of the garbage collection or landfill. This solution saves time and protects the office environment from pollution.
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Kumaraswamy, A., Chandra Sekhar Kolli, Sagaya Aurelia, P. Vasantha Kumar, and M. Lakshminarayana. "Garbage Management and Monitoring System Using IOT Applications." In Pragmatic Internet of Everything (IOE) for Smart Cities: 360-Degree Perspective. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815136173123010009.

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The main purpose of this application, in addition to boosting the vision of a smart city, is to reduce humankind's effort and resources while simultaneously enhancing the vision. The squashing of the dustbin will occur on a regular schedule. It will be possible to manage waste more efficiently when these sensible garbage bins are implemented on a large scale and replace our previously designed dumpster, as it eliminates the need for waste to be piled up on the roadside in the first place. When managing the trash containers, wireless sensor systems in networks (WSN) in connection with the IoT technologies are used. On the other hand, sensors are used to monitor the container contents in real-time, with results displayed on the website, and the sensed contents are then evaluated to determine the optimal container distribution. This allows for the processing of a variety of waste types depending on the needs of the customer. As a result of installing ultrasonic sensors in each bin, garbage levels are continuously checked. As a result of this notification, the bin will be cleared.
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M H, Nishchitha, Attel Manjunath, Manjunatha K N, Adharsh Tiwari, Adhitya N. Jadhav, and Nuthan Nag. "DESIGN AND FUNCTIONAL VALIDATION OF SEMI-AUTOMATED WATER SKIMMER FOR SURFACE DEBRIS." In Futuristic Trends in Mechanical Engineering Volume 3 Book 5. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bdme5p1ch9.

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The work is focused to develop and evaluate the functional correctness of remote controlled water trash collector. A water skimmer is a semi-autonomous device that will float across the water surface of any water body and collect the garbage and the debris floating on the surface. A robot is developed for clearing debris from the water's surface. Arover in construction that can offer great stability, and good maneuverability, and readily collect all the trash floating on the water bodies. A motor-driven collecting-arm system is developed to remove and collect surface debris, collecting the waste and redeploying it into a rectangular basket on the hull through a conveyor belt. Large volumes of debris may be accommodated inside this design, and it makes waste collection efficient in a compact area. Styrofoam will be used to create the hulls for the prototype, which will then be covered in waterproof epoxy and wrapped in fiber. The system's overall weight will be supported by strong, light aluminum framework. The robot’s propulsion system, which will be based on a differential drive mechanism and delivers tremendous thrust and 360o turning capability. Inside the hull, electronic circuits and motors are installed to shield them from the water. Gathered trash can be measured through FSR sensor and the data is updated in the website as database management. This system is cost-effective, robust, and durable. The system is also extended to manage the database for collected waste.
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Naithani, Dr Suman, and Shazia Akhtar. "A SMART WASTE MANAGEMENT SYSTEM FOR MONITORING, COLLECTION, AND PROPER DISPOSAL." In Futuristic Trends in Biotechnology Volume 3 Book 16. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bjbt16p4ch3.

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The ability of smart cities to deal with environmental issues in general, and trash management in particular, is an important topic that requires scientific investigation. Any unpleasant, harmful, or wasteful substance produced by daily human activities and municipal events is considered solid waste. Solid waste management is the approach for managing solid waste creation, storage, collection, transport, treatment, and disposal. Solid waste management is characterized based on the availability of economic capital and the degree of industrialization progress. This article suggests and explains a smart solid waste monitoring and collection system. The system is composed of intelligent storage units, also known as smart bins, each of which has an Arduino Uno, an ultrasonic sensor, and an RF transmitter attached on top. A message (SMS) is delivered to the truck driver's mobile phone informing him or her which garbage bin has to be emptied when a container is full with waste. The control center receives this signal and has information on how much rubbish is in each container. Lastly, a productive system and waste disposal strategy are offered that might be used in the future to boost efficiency and cost-effectiveness
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WELK-JOERGER, NICOLE. "Making Human Trash Tasty:." In Capitalism and the Senses. University of Pennsylvania Press, Inc., 2023. http://dx.doi.org/10.2307/j.ctv2v9fg59.12.

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Saxena, Sanjeev Kumar, and Nishi Priya. "From Trash to Treasure." In Sustainable Disposal Methods of Food Wastes in Hospitality Operations. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2181-2.ch007.

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This chapter is a product of the principal author's extensive first-hand experience, gained during his tenure at both Jaypee Hotels & Resorts and Indian Hotel Company limited and co-author experience at Taj Hotels & Resorts and also their interactions with colleagues occupying the senior management role in various hotels. This chapter explores the transformative evolution of waste management practices within the hotel industry, highlighting the shift from conventional approaches to contemporary innovations. The study emphasizes the enduring impact of these evolving practices and identifies key strategies, including technology integration, zero-waste goals, supplier engagement, community involvement, continuous improvement, green procurement, waste-to-energy innovations, and guest engagement. By examining these facets, the chapter illustrates how hotels have not only reduced their environmental footprint but also set a benchmark for sustainable business practices.
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Manjunatha, B., K. Dinesh Kumar, Sam Goundar, Balasubramanian Prabhu Kavin, and Gan Hong Seng. "Sustainable Waste Management OOA-Enhanced MobileNetV2-TC Model for Trash Image Classification." In Computational Intelligence for Green Cloud Computing and Digital Waste Management. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1552-1.ch012.

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E-waste is an invisible, indirect waste that contaminates natural resources like the air, water, and soil, endangering the ecosystem, people, and animals. Long-term waste accumulation and contamination can harm the resources found in the environment. Since traditional waste management systems are very inefficient and the number of people living in urban areas is increasing, waste management systems in these areas face challenges. However, by combining a variety of sensors with deep learning (DL) models, waste resources can be used effectively. For this chapter, firstly, the Trashnet dataset with 2527 images in six classes and the VN-trash dataset, which comprises three classes and 5904 images, are collected. Then the collected images are preprocessed using truncated gaussian filter. After that, pre-trained convolutional neural network (CNN) models (Resnet20 and VGG19) are applied to the images in order to extract features. In order to enhance the predictive performance, this study then creates a MobileNetV2 model for trash classification (TC) called MNetV2-TC.
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Conference papers on the topic "Trash Sensor"

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Liu, Hongying, Zhaofeng Guo, Junqi Bao, and Ling Xie. "Research on Trash Classification based on Artificial Intelligence and Sensor." In 2021 2nd International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI). IEEE, 2021. http://dx.doi.org/10.1109/ichci54629.2021.00062.

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Sumithra, M., B. Buvaneswari, B. Arumugam, G. R. Abishek Kannuswamy, and M. P. Manoj Sayee. "Smart stationary trash bin with robotic arms & ultrasonic sensor." In 4TH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS 2023: ICIoT2023. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0226740.

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Wardana, Julian Alifirman, Andros Clarence Chen, Rahmat Syifana Jaelani, Leonardo Leonardo, and Budi Juarto. "Smart Trash Cans for Waste Management Using NodeMCU and Ultrasonic Sensor." In 2022 4th International Conference on Cybernetics and Intelligent System (ICORIS). IEEE, 2022. http://dx.doi.org/10.1109/icoris56080.2022.10031466.

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Verma, Preeti, and Anil Kumar Shukla. "Smart Trash Can System with Ultrasonic Sensor and Flame Detector using Arduino." In 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2021. http://dx.doi.org/10.1109/spin52536.2021.9566051.

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Fan, Guiyun, Yongkui Zhang, and Haiming Jin. "Poster Abstract: Shallowly Buried Trash Detection in Sandy Land Based on IR-UWB Radar." In 2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). IEEE, 2024. http://dx.doi.org/10.1109/ipsn61024.2024.00057.

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Ariani, Farida, Hasdari Helmi Rangkuti, and Herriyance. "Design of trash can collector robot using a microcontroller-based color sensor Atmega 8535." In PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON COMPUTING AND APPLIED INFORMATICS 2022. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0205794.

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Nuzula, Firdausi, Nadi Suprapto, Binar Kurnia Prahani, Khoirun Nisa, Firmanul Catur Wibowo, and Lari Andres Sanjaya. "Demonstration of online STEAM learning through Arduino uno-based automatic trash with ultrasonic sensor." In ELECTRONIC PHYSICS INFORMATICS INTERNATIONAL CONFERENCE (EPIIC) 2023. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0210079.

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Haq, Faris Atoil, Bima Sena Bayu Dewantara, and Bayu Sandi Marta. "Room Mapping using Ultrasonic Range Sensor on the ATRACBOT (Autonomous Trash Can Robot): A Simulation Approach." In 2020 International Electronics Symposium (IES). IEEE, 2020. http://dx.doi.org/10.1109/ies50839.2020.9231734.

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Felhofer, Samantha, Kaleigh Kraft, Reilly Flynn, Amanda Mudlaff, Brett Samuelson, and Subha Kumpaty. "Kinnikinnic River Trash Collector Design." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10467.

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Abstract A senior design team from the Milwaukee School of Engineering assisted the Milwaukee Harbor District with a trash collecting solution for the Kinnickinnic River. The design objectives were: the use of solar panels to generate charge for the continuous operation of the trash solution, an innovative and cost-efficient way to clear debris blockages from the conveyor, low cost, and a design that can operate as autonomously as possible to require the least amount of human intervention. The Kinnickinnic River experiences a reverse flow and a substantial rise in water level during and after
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Kulkarni, Shreyas, and Sarang Junghare. "Robot based indoor autonomous trash detection algorithm using ultrasonic sensors." In 2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE). IEEE, 2013. http://dx.doi.org/10.1109/care.2013.6733698.

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Reports on the topic "Trash Sensor"

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Vreeland, Heidi, Christina Norris, Lauren Shum, et al. Collaborative Efforts to Investigate Emissions From Residential and Municipal Trash Burning in India. RTI Press, 2018. http://dx.doi.org/10.3768/rtipress.2018.rb.0019.1809.

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Emissions from trash burning represent an important component of regional air quality, especially in countries such as India where the practice of roadside, residential, and municipal trash burning is highly prevalent. However, research on trash emissions is limited due to difficulties associated with measuring a source that varies widely in composition and burning characteristics. To investigate trash burning in India, a collaborative program was formed among RTI, Duke University, and the India Institute of Technology (IIT) in Gandhinagar, involving both senior researchers and students. In ad
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