About the Project
The project intended to incorporate a smart and data-driven approach to public waste bin management by introducing IoT sensors into the garbage bins. These sensors collected data and sent it to a website dashboard which a local municipality had access to. The data generated by the sensors made the collection of public garbage bins more efficient, resulting in a reduced carbon footprint, improved citizen health and safety, and less damage incurred to the public trails from the local municipality vehicles.
Project Overview
- 3 Researchers
- 3 Student Researchers
- Areas of Expertise: IoT Technology, Data Analytics, Dashboard Development & Smart City Solutions
Technologies:
- Telus Taoglas Smart Waste Sensors
Key Innovations
- Implementation of Taoglas smart IoT sensors for efficient service delivery.
- Introduction of efficient pick-up routes and zones based on the high-density bins assorted throughout the local municipality.
- Use of route optimizations to reduce the need for a full-time equivalent for the truck.
Impact & Benefits
- Cost Savings: The local municipality saved at least 3.23% of the cost of implementing this service. Future cost-saving benefits were expected to be greater due to lower fuel consumption.
- Reduced Carbon Footprint: The implementation of the sensors reduced the local municipality’s carbon footprint by at least 965 kg per year.
- Efficiency: The local municipality saved 416 hours in total, allowing increased labor in other departments.
Related Programs
#MechanicalEngineeringTechnology #MechatronicsTechnology #IndustrialEngineeringTechnology
