Very good garbage sorting software
1.0
Manhaofen app is a software designed to provide users with garbage classification guidance. Through voice question and answer and image recognition technology, it helps users quickly and accurately identify garbage types, correctly classify garbage, and improve garbage recycling and utilization rates.
1. Provides relevant knowledge and practical skills on garbage classification culture to help users better understand the importance of garbage classification;
2. Use the voice question and answer function to help users quickly understand garbage types and classification methods. Provide corresponding classification methods;
3. Users only need to answer questions through voice, and the Manhaofen app will give corresponding garbage classification methods.
1. The image recognition function can scan the QR code of garbage or take photos of garbage to automatically identify the type of garbage;
2. Provide a rich cultural knowledge base of garbage classification to help users better understand the importance and significance of garbage classification;
3. Understand the impact of garbage classification on the environment and society by reading articles and stories in the knowledge base, and stimulate environmental awareness.
1. Share various tips and tricks for garbage classification, so that users can better understand garbage classification methods and facilitate operation;
2. By learning these practical skills, users can classify garbage more easily, thereby better protecting the environment;
3. It has rich functions such as voice question and answer, image recognition, etc., supports a variety of operations, and can meet the different needs of users.
1. It has high accuracy and can accurately identify garbage types and classification methods, helping users classify garbage more easily;
2. The interface design is simple and beautiful, easy to use, users can quickly find the required functions, which improves the user experience;
3. Support user-defined settings. Users can personalize settings according to their own needs and preferences to meet the preferences of different users.
