With the expanding population and the depletion of disposal sites, AI-enabled smart waste management has become a must-have alternative for living on a waste-free planet.
Fremont, CA:The amount of garbage generated worldwide is now being measured in billions (metric tonnes). It's only going to get worse as the human population continues to expand. Waste management is a profitable market vertical in developed countries. Thanks to innovative processes and techniques, waste management is becoming more appealing as a business opportunity. The industry is growing at a constant rate of 5.5 percent per year. Meanwhile, in the next five to six years, the worldwide waste management market is expected to reach USD 2.3 trillion.
Landfill, composting, and recycling are the most commonly known waste management measures. Composting and incineration are two of the most useful methods for reducing the volume of waste. Other garbage disposal options include composting, processing facilities, volume reduction plants, and borrow pit reclamation zones. While landfilling or decomposition leads to greenhouse gas (GHG) emissions, which have much more serious consequences than carbon dioxide (CO2). Waste decomposition is particularly more harmful to the environment than carbon dioxide because it contributes to GHG production. Degrading environment and human surroundings is the primary cause of waste management, ranging from open garbage dumping to waste decomposition. Furthermore, garbage in various forms poses a significant health danger to health professionals who are involved in the daily collection and disposal of waste.
Smart waste management with artificial intelligence
Traditional waste management procedures are usually challenging, labor-intensive, and frequently dangerous to sanitation personnel and staff. On the other hand, a connected ecosystem inspired by IoT has cleared the way for the use of AI and Machine Learning models to channel many factors for improved Urban Planning and smart cities or future cities.
A number of developed countries have effectively indulged in AI-enabled waste management practices to reduce waste and process recyclables. Smart Bins with scanners can scan most of the objects removed by a single person and save the data for remote transfer through a sensor. The bins may then be able to separate various forms of waste such as metal, paper, glass, plastic, biological, and so on, with the garbage being identified as a frozen inference graph by a camera linked to the processing unit. AI programs based on machine learning and accurate computer vision training data assist in classifying various types of waste photos and categorizing them.
