University of Nevada, Reno
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| Thesis Advisor | Shen, Yantao | |
| Author | Noori, Neema | |
| Date Accessioned | 2018-05-07T17:02:46Z | |
| Date Available | 2018-05-07T17:02:46Z | |
| Date of Issue | 2016 | |
| Identifier (URI) | http://hdl.handle.net/11714/3298 | |
| Description | The waste removal industry has been in need of a system that can create accountability where there is none. With the rise of emissions, it seems reasonable to use a system that not only saves money, but also helps alleviate unnecessary travel costs and burning of fossil fuels. With Full or Not, this problem is no longer prevalent. Full or Not has the ability to save waste management businesses and customers' money by only scheduling waste picks up based on the levels of waste. In order to do this task, Full or Not has the ability to autonomously monitor the levels of containers using machine vision. When containers are full, an alert is sent to both the customer and the business via text message. | |
| Item Format | ||
| Item Language | English | |
| Language | en_US | |
| Rights | In Copyright | |
| Title | Full or Not: An Autonomous Container Measurement and Alert System | |
| Type | Thesis | |
| Rights Holder | Author(s) | |
| Department | Electrical and Biomedical Engineering | |
| Degree Level | Honors Thesis | |
| Degree Name | Electrical Engineering | |
| Degree Grantor | University of Nevada, Reno |
