PLASTIC PELLET QUALITY CONTROL RESEARCH PROJECT
Project background:
The client is a recycling company that specializes in processing LDPE and PP materials into high-quality pellets. Manual quality control during the production process resulted in low workflow efficiency.
Biggest challenges: The pellets are small in size and their quality must be assessed during the pouring or falling process.
Solution:
Within the framework of project, a prototype device was developed that uses a specially designed ramp to pour and evenly distribute plastic granules in a single layer. In parallel, a custom developed computer vision system detects falling pellets using a high-speed performance camera, classifies them into 11 categories, and analyses the size and brightness of pellet colour. System provides a statistical assessment of the quality of plastic pellet batch by calculating defect rate and analysing average properties of the pellets, allowing the manufacturer automatically determine quality level and adjust production process to reduce defects.
Key benefits:
- Improved workflow efficiency;
- Optimised quality data acquisition and processing;
- Improved production process, reduced production line downtime;
- Optimised workforce and efficiency.
