Each year, improperly managing the world’s plastic waste raises a hidden environmental threat. As a result, efforts on smart technologies for waste collection, such as route optimization, smart bins based on artificial intelligence (AI), and real-time monitoring software, as well as the adoption of the Internet of Things (IoT) system, have become a future consensus for improving plastic waste recycling. In this study, we built a database of smart waste collection and processing technologies for plastic waste recycling. We categorized them into the following categories: monitoring dashboards and applications for waste management, smart bins, sorting robotics, and take-back vending machines. We analyze the data with the Japanese technology readiness assessment (J-TRA) approach. The results demonstrate that the monitoring dashboard and application are relatively more mature than the smart bin and sorting robots. Improving the smart bin readiness level might be the first key step to enable the rest of the technologies to advance into more collective applications.