Cities produce large amounts of waste, from litter to sewage; managing this waste is a constant challenge for municipal authorities. Waste management as part of the smart city model involves the use of IoT technology and machine learning to run and to optimize city waste management.
AI-optimized waste management improves the efficiency of waste management systems while reducing costs. The resulting effects improve the health of citizens, especially of the waste management employees.
Not to be discounted is the effect of beautifying the city itself.
To build an effective waste management system, begin with the location and condition of all city garbage bins, sewage lines and tanks, and any other waste collection and transportation equipment. Also include the current waste collection schedules and history of overflows or increased collection needs.
Necessary external waste management data includes sensor data from garbage bones, septic tanks, and trucks. Event data also provides important information on the amount and type of waste a city can expect.
Weather and natural disaster data straddle the line between merely useful and essential since, depending on the city location, extreme weather and natural disasters cause regular waste management problems. For example, seasonal monsoons lead to sewer system flooding.
Traffic data can also help waste transportation vehicles to work without adding to city congestion.
Implementation of any type of waste management technology is very difficult and costly. The scale alone makes many balk at implementation. Many cities, therefore, adopt new technologies in a piece-meal fashion or outsource the collection of waste to private companies. However, this outsourcing removes one of the most basic public service from the public office, which leaves citizens with diminished ability to seek satisfaction from cities whenever they have complaints.
In addition, municipal bin sensors cannot measure garbage if citizens don’t bother to throw it in the bins; human laziness can defeat technology sometimes.
Guangdong-based firm Xiaohuanggou (XHG) has rolled out intelligent recycling bins, which are able to guide users to sort their household trash with the help of computer vision and auto calculations. The company also incentivizes users that put their garbage in the right place with cash rewards that can be exchanged for products on Xiaohuanggou’s app, online games, or even converted into donations to charities. The firm has set up facilities in over 40 cities across the country, including Chongqing, Beijing, Shanghai, Dongguan, and Guangzhou, according to its website.
Companies are also employing AI-assisted machines to sort garbage in recycling plants and waste disposal factories, alleviating human labor in dirty and hazardous garbage processing plants.
IBM MarketScan Research Databases provides one of the oldest continually-updated collection of health claims data in the USA. Organizations use this data to prove their value to healthcare professionals, insurers, and private individuals.
The data includes drug claims, dental claims, lab results, hospital discharges, and EMR data for millions of people in the country. It also contains workplace productivity data, telling institutions how many workplaces absences they suffer and how many of their healthcare workers suffer disability due to their work.
Irys on Cities and Government provides detailed geolocation maps, tools, and reports. on infrastructure, housing, and transportation problems
Loqate Address Capture verifies addresses as soon as a business name, street name, or zipcode is typed—whether it was spelled correctly or not. The database has geolocation data on over 245 countries and partners with UK’s Royal Mail, Canada Post, Australia Post, and the US Postal Service and is free for up to five addresses per IP per day.
Address Capture also offers mobile customers the ability to search for an address through a tap on their phone screen.
Industry Reports by FiinGroup provide in-depth industry reports for all key sectors in Vietnam.
CoreLogic ValueMap provides property data and real estate market data for a website map-based valuation system. Real estate agents and their clients can then use this to easily determine and compare home values in an area.