Date of Award
Bachelor of Science
Walter Dixon III
data, bin, serial.println, tacking, tracking
The past few years have seen the highest recorded amount of waste produced in America. Despite several options of responsible wasting, landfills are still bearing the brunt of waste deposits. Although recycling is a common practice, it is still not accomplished with maximum efficiency, and composting is even less common in areas where it is not legally mandated. Food scraps and byproducts that could otherwise have been broken down in proper composting methods continue to pile up in landfills where they breakdown into methane gas. Although there is no easy answer to the complex problem that is consumer waste, the household waste tracking system offers one solution that uses the capitalist system that created the waste issue to incentive our society to rehabilitate our waste practices. By generating large and small data, the system will be able to produce the information needed to create a system of proportional costs for waste. As a result, local governments and waste management companies will be able to provide financial subsidies in the form of tax breaks and bill reductions for responsible waste habits. Additionally, the large scale data accumulated through location tracking will allow a reduction in inefficient waste collection routes, saving companies’ money and unnecessary exhaust emissions from the environment. The household waste tracking system correlates specific quantities of waste to specific customers by weighing the waste in specific bins upon collection. The bins having been embedded with RFID tags will inform the system as to which customer owns the bin. GPS/GPRS services will allow the system to identify the location of each bin retrieval. Finally, all of this information is sent wirelessly through GSM to a web based display that will allow waste management companies, customers, and local governments to utilize the data collected by the system.
Triola, James, "Automated Household Tracking System" (2016). Honors Theses. 217.