International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 06 | Jun 2024
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p-ISSN: 2395-0072
Neighborhood Navigators: Building a Sustainable Future with Waste Managment Robots. Muhammed Mahshook Ali P1, Sooraj P2, Sam Babu3, Shijina B4, Safna Sainudeen5 1-3BTECH UG Students, Department of Computer Science and Engineering, TOMS college of Engineering 4Head of the department, computer science and engineering, TOMS college of Engineering
5Assistant professor, computer science and engineering, TOMS college of Engineering3 APJ Abdul Kalam
Technological University, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------comprehensive neighborhood coverage. Their Abstract - In developing nations, effectively managing
sophisticated sensors enable accurate garbage placement and detection, ensuring that no area is overlooked for the course of the series. These robots travel routes using the PID set of rules to provide the optimal manage.
urban solid waste is a significant task that poses considerable health hazards and degrades the environment. Because of inadequate collection techniques, unsanitary working conditions for human labor, and waste, the current system does not provide adequate coverage. The Neighborhood Navigator idea seems like a good way to address these issues. Fundamentally, Neighborhood Navigators transforms garbage management by utilizing both contemporary and basic technologies. Data-driven decision-making is made possible by an intelligent robot that continuously checks trash volume using a mix of sensors and waste systems with volume sensing capabilities. This technology improves productivity insights for efficient resource allocation and process optimization, and it integrates seamlessly with both Android and iOS applications. robots that follow lines and use waste series growth methods. Outfitted with advanced sensing and navigational technologies, those Robots follow predefined paths, ensuring that trash is collected properly and added to a main series point so that it can be disposed of with ease. This all-encompassing approach ensures efficient waste management in emerging nations, resulting in sustainable urban growth.
1.1 Real-Time Data Monitoring Application The monitoring program continuously monitors waste stages by using high-precision sensors installed in trash cans across the area. These sensors, which provide precise data at the bins' fill level, can be infrared or ultrasonic. The sensors' collected data is sent to the monitoring software, which is then easily integrated into an Android platform for easy access by users. The tool provides real-time trash degrees, series schedules, and operational insights to waste control agencies and citizens. Furthermore, the application offers real-time indications and notifications for strategically placed interventions, such as scheduling waste collections when trash cans are filled. 1.2 Additional Properties and Working of Smart Waste Bins Further characteristics and functionality of smart waste bins: 1.2.1 Real-Time Waste Level Monitoring:
Key Words: Urban solid waste management, Developing countries, Neighborhood Navigator, Intelligent robot, Sensor technology, Volume sensing
High precision sensors (ultrasonic or weight sensors) are installed in smart waste bins that enable monitoring of real-time status of waste levels. These sensors directly show the capacity of the packing containers and transmit data wirelessly to the core monitoring system, similar to, Wi-Fi and LoRaWAN.
1.INTRODUCTION Controlling municipal solid trash is an urgent problem in many developing nations due to unhygienic conditions and detrimental environmental effects. The present waste management systems are often plagued by inadequate insurance and poor collecting techniques. Line-following robot integration with the Neighbourhood Navigator gadget has emerged as a viable way to address such difficulties. Outfitted with cutting-edge sensors and a Proportional-Integral-Derivative (PID) algorithm, those robots effectively augment the Neighbourhood Navigator system and optimize rubbish collecting strategies.
Fig-1 Wi-Fi or LoRaWAN
Autonomously navigating specific routes, line-following robots provide effective garbage management and
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