This study intends to build a smartbin that segregates solid waste into its respective bins. To make the waste management process more interesting for the end-users; to notify the utility staff when the smart bin needs to be unloaded; to encourage an environment-friendly smart bin by utilizing renewable solar energy source. The researchers employed an Agile Development approach because it enables teams to manage their workloads successfully and create the highest-quality product while staying within their allocated budget. The six fundamental phases are planning, design, development, test, release, and feedback. The Overall quality testing result that was provided through the ISO/IEC 25010 evaluation which concludes a positive outcome. The overall average was 4.55, which is verbally interpreted as excellent. Additionally, the application can also independently run with its solar energy source. Users were able to enjoy the whole process of waste disposal through its interesting mechanisms. Based on the findings, a compressor is recommended to compress the trash when the trash level reaches its maximum point to create more rooms for more garbage. An algorithm to determine multiple garbage at a time is also recommended. Adding a solar tracker coupled with solar panel will help produce more renewable energy for the smart bin.

Every human being in this world produces waste. South Africa is a developing country with many townships that have limited waste resources. Over-increasing population growth overpowers the volume of most municipal authorities to provide even the most essential services. Waste in townships is produced via littering, dumping of bins, cutting of trees, dumping of waste near rivers, and overrunning of waste bins. Waste increases diseases, air pollution, and environmental pollution, and lastly increases gas emissions that contribute to the release of greenhouse gases. The ungathered waste is dumped widely in the streets and drains contributing to flooding, breeding of insects, rodent vectors, and spreading of diseases. Therefore, the aim of this paper is to design a smart waste management system for the city of Johannesburg. The city of Johannesburg contains waste municipality workers and has provided some areas with waste resources such as waste bins and trucks for collecting waste. But the problem is that the resources only are not enough to solve the problem of waste in the city. The waste municipality uses traditional ways of collecting waste such as going to each street and picking up waste bins. The traditional way has worked for years but as the population is increasing more waste is produced which causes various problems for the waste municipalities and the public at large. The proposed system consists of sensors, user applications, and a real-time monitoring system. This paper adopts the experimental methodology.

A prototype "smart bin" developed by researchers at Australia's University of Technology, Sydney (UTS) can sort recyclable materials automatically through a combination of artificial intelligence (AI), robotics, and machine vision. UTS' Xu Wang said the system can categorize different types of waste such as glass bottles, metal cans, and several varieties of plastic. "We have a camera and we're running an AI algorithm to classify different types of plastics and then we use IoT [Internet of Things] and other robotics technology to sort the waste into the bins," Wang explained. The researchers envision smart bins deployed in shopping centers, schools, cinemas, businesses, and airports.

Despite the best intentions, the sad reality is that only a fraction of the plastics we dutifully separate from the rest of our waste is ever truly recycled. And one of the biggest contributing factors to this state of affairs is that plastic recycling isn't properly sorted. According to the Australian Bureau of Statistics (ABS), almost half of the overall waste generated annually in the country is recycled. But in New South Wales alone, only 10 per cent of the state's 800,000 tonnes of plastics are recycled because they are not sorted properly, according to the Commonwealth Scientific and Industrial Research Organisation (CSIRO). "The recycling process is quite complicated. If you go to the supermarket or for the daily recycling you need to know how to properly place all the recyclable (items), like bottles or others, into the right bins. You need to know the labels, know the icons," says Dr Xu Wang, from the School of Electrical and Data Engineering at the University of Technology Sydney.

Food waste could become a thing of the past thanks to an AI powered smart bin that let's you know the type of items you throw away most regularly. The system uses a camera, a set of smart scales and the same type of machine learning technology found in self-driving cars. It comes pre-programmed with common items and learns to recognise different foods being thrown away regularly. It uses this information to calculate the financial and environmental cost of this wasted food, so that you can tailor your next food order accordingly. The smart bin is currently aimed at commercial kitchens but could one day be a common feature in people's homes, the firm hopes. Food waste could become a thing of the past thanks to an AI powered smart bin that let's you know the type of items you throw away most regularly.