META-aiviCase Study
Verifying Plastic Parts for Recycling Using AI
Customer
The customer is a leading provider of semiconductor packaging and testing services, specializing in developing innovative electronics.
Case
Mixed Plastic Recycling
In the pursuit of sustainable practices, companies often encounter challenges in effectively managing their waste, particularly when it comes to recycling. In this case, the customer was aiming to improve their waste management process of leftover plastic components before being recycled.
Challenge
Preventing Recycling Contamination
The challenge stemmed from the repetitive and physical nature of the tasks involved in waste disposal, leading to workers inadvertently mixing items in the wrong bins. Despite efforts to enforce proper sorting procedures, some workers continued to place items incorrectly. This posed a significant concern for the customer as mixing items could result in fines. Furthermore, while automation was considered, it was deemed not viable to fully automate the process, necessitating the search for a more practical solution.
Solution
AI-Based Item Verification
To address these challenges, the customer implemented an innovative solution involving the setup of IP camera workstations integrated with META-aivi. Advanced AI models allowed for real-time classification of plastic parts, aiding workers in verifying that items were not mixed during the sorting process. As workers placed plastic components into designated bins, the AI model provided additional verification and reassurance, reducing the likelihood of errors and contamination. This AI technology-driven approach not only improved the efficiency of the waste management process but also offered a cost-effective alternative to full automation with robotics.
