Project Description: We identified a problem of recycling waste among our peers. They may dispose the general trash, recycling waste to the wrong bins, without rinsing before disposal, creating unhygienic environment. As recycling bins are covered and sectors can only collect recycling waste once per week, frequently check by janitors are needed. We are developing an AI model aimed at effectively addressing and monitoring recycling bins throughout the schools. Our project addresses hygiene issues in recycling bins by adding cameras, ultrasonic sensors, UV disinfectants, and disinfectant sprays. The camera classifies recyclables and opens the corresponding bin lid; while unrinsed waste prevents lid opening, avoiding cross-contamination. After disposal, UV disinfectants and sprays activate automatically, killing bacteria and enhancing hygiene. Ultrasonic sensors measure waste levels, notifying janitors at 80% capacity to prevent overflow. Gas sensors detect excessive odor, alerting janitors to maintain a clean environment. These features collectively improve recycling bin hygiene and efficiency.
Project Theme: Climate Action and Responsible Consumption
Project Category: AI and ML Projects, Hardware Projects
