IoT BASED WASTE SEGREGATION SYSTEM AND LOCATION TRACKING
Abstract & Details
Research Area
IoT
Keywords
Waste management
IoT
waste segregation
garbage collection
environmental sustainability
route optimization
GPS tracking
mobile application
waste disposal
efficiency.
Abstract
With the growing population rate, the amount of waste being produced is also increasing at a very faster rate. It is also posing a very serios problem at the municipal level to manage the wastes being dumped everywhere as landfill waste. To ensure the minimal risk to the environment and human health, it is necessary to take meticulous measures when segregating and transporting waste. Segregation of waste in proper manner brings to the limelight actual economical value of the waste. The traditional method used for segregation of waste in India is through rag pickers which are time-consuming and can have adverse effects on the health of the people. Here we proposed the IoT BASED WASTE COLLECTOR AND LOCATION TRACKING which is cheap and easy solution for segregation of household waste, it is designed to segregation of household waste. It is designed to segregate the waste into four categories viz. metallic, dry and wet waste. After detection, arms are used to push the waste into respective bins. Combining GPS and shortest path to the moving garbage collecting trucks is novel. The advantage of this system is, a person need not to wait at the road side to drop his garbage bag to the truck since the end user can install the application in his smart device and observe or track the garbage collecting truck’s drive path. Thought if a person misses the truck’s then this application will guide the shortest path to drop the wastes to any other trucks among the group of trucks which are going around to collect garbage in a particular geographical area. In fact, public as end user to this app can be benefited with cheaper in cost and managing time in parallel.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | ALWIN VINIFRED C | Sairam Engineering College |
| 2 | SRIKANTH M | Sairam Engineering College |
| 3 | KAVIPRIAN N | Sairam Engineering College |
| 4 | LOGESHWARAN T | Sairam Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
C, ALWIN VINIFRED, M, SRIKANTH, N, KAVIPRIAN, & T, LOGESHWARAN (2024). IoT BASED WASTE SEGREGATION SYSTEM AND LOCATION TRACKING. International Journal of Advance Research and Innovative Ideas In Education, 10(6), 1031-1035.
MLA Style
C, ALWIN VINIFRED, et al. "IoT BASED WASTE SEGREGATION SYSTEM AND LOCATION TRACKING." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, 2024, pp. 1031-1035.
IEEE Style
ALWIN VINIFRED C, SRIKANTH M, KAVIPRIAN N, and LOGESHWARAN T, "IoT BASED WASTE SEGREGATION SYSTEM AND LOCATION TRACKING," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, pp. 1031-1035, 2024.
Vancouver Style
C ALWIN VINIFRED, M SRIKANTH, N KAVIPRIAN, T LOGESHWARAN. IoT BASED WASTE SEGREGATION SYSTEM AND LOCATION TRACKING. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(6):1031-1035.
Harvard Style
C, ALWIN VINIFRED, M, SRIKANTH, N, KAVIPRIAN, & T, LOGESHWARAN (2024) 'IoT BASED WASTE SEGREGATION SYSTEM AND LOCATION TRACKING', International Journal of Advance Research and Innovative Ideas In Education, 10(6), pp. 1031-1035.
Chicago Style
C, ALWIN VINIFRED, et al. "IoT BASED WASTE SEGREGATION SYSTEM AND LOCATION TRACKING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1031-1035.
Turabian Style
C, ALWIN VINIFRED, et al. "IoT BASED WASTE SEGREGATION SYSTEM AND LOCATION TRACKING." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1031-1035.
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