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The IoT Based Garbage Monitoring System aims to address the critical issue of inefficient waste management in urban environments. Traditional garbage collection methods often result in overflowing bins and unsanitary conditions due to fixed schedules rather than real-time monitoring. This system employs sensors, typically ultrasonic, placed on garbage bins to detect the level of waste accumulation. The sensors are interfaced with microcontrollers (such as Arduino or ESP32) that process sensor data and communicate wirelessly via Wi-Fi, GSM, or other communication modules to a central IoT platform. The key innovation is the integration with Google Maps to accurately determine and visualize the real-time location of garbage bins. GPS modules provide location coordinates for each bin, which are mapped on Google Maps to allow municipal authorities or waste collection personnel to monitor garbage levels and locations simultaneously. When a bin reaches a predefined threshold, the system sends alerts informing the authorities about the need for waste collection. This concept can be realized using components such as ultrasonic sensors for level detection, GPS modules for location tracking, microcontroller boards (Arduino, ESP32), communication modules (GPRS, Wi-Fi), and cloud servers with Google Maps API integration for visualization.
"AN IoT-BASED GARBAGE MONITORING SYSTEM WITH GOOGLE MAP INTEGRATION", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b36-b46, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604140.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator