Product Name:
Smart Garbage Sorting Bin
Application:
Food waste sorting
Design Key Point:
It helps in energy extraction and reduces the burden of food waste sorting.
- Intelligent guided classification: Automatically identify garbage through sensors and image recognition technology, and guide users to correct classification through voice prompts or display screens.
- Anti-odor and hygienic design: It is sealed and equipped with ultraviolet sterilization inside.
- Real-time monitoring and timely processing: Built-in sensors in the trash can monitor the capacity of the trash can in real-time and automatically send information to garbage disposal personnel.
Design Insight:
In China, there are about 3.07 million schools, which produce hundreds of tons of food waste every day, referring to organic waste such as leftovers, leftovers, fruit peels, and kitchen waste, which is the raw material for extracting energy and fertilizer.
It should be noted that due to the strong dispersion of food waste, food waste contains bags, metal glass, etc.
These inorganic components usually need to be removed during the food waste energy extraction to avoid damage to equipment, tools, etc.
Therefore, it is difficult to dispose of and recycle. In response to the national sustainable development strategy and the concept of a green campus, the following Garbage sorting bin is designed for campus food waste classification.
Gavin Yi
Gavin Yi is a distinguished leader in precision manufacturing and CNC technology. As a regular contributor to Modern Machine Shop and American Machinist magazines, he shares expertise on advanced machining processes and Industry 4.0 integration. His research on process optimization has been published in the Journal of Manufacturing Science and Engineering and International Journal of Machine Tools and Manufacture.
Gavin serves on the National Tooling & Machining Association (NTMA) board and frequently presents at the International Manufacturing Technology Show (IMTS). He holds certifications from leading CNC training institutions including Goodwin University’s Advanced Manufacturing program. Under his leadership, Shenzhen Yijin Solution collaborates with DMG Mori and Haas Automation to drive innovation in precision manufacturing.
