CIRCPLASTIC

About the project

Canonical Robots is developing a new product for plastic classification named CIRPLASTIC. 

The project’s objectives are to develop and commercialise CIRPLASTIC, a plastic classification solution using hyperspectral imaging technology. The main goal is to enhance the efficiency and accuracy of plastic sorting, promoting sustainability and supporting the circular economy.  

To achieve these objectives, the project will involve development, prototype testing, system refinement and pilot implementation at Contenedores Lolo’s facility. The focus will be on integrating machine learning algorithms and data processing techniques to ensure precise plastic identification.  

Target customers include recycling plants and automotive manufacturers seeking to improve their recycling processes and meet sustainability goals. 

Challenges

The main challenge addressed in this project is the inefficiency in sorting and recycling plastics in the automotive and broader plastic recycling industries. Current methods are often inaccurate and labour-intensive, leading to high contamination rates and low-quality recycled materials.  

Data from the IMARC Group indicates that the European recycled plastics market is set to grow from 12.7 million tons in 2023 to 19.3 million tons by 2032, highlighting the urgent need for improved sorting solutions. By implementing CIRPLASTIC, it is intended that sorting accuracy and efficiency will be enhanced, thereby improving the quality and sustainability of recycled plastics. This will address the core issue of inefficient plastic sorting in the recycling industry. 

Solutions

This solution is designed to address the challenges in plastic classification. Identified through market research and collaboration with Contenedores Lolo, CIRPLASTIC utilises hyperspectral imaging (955-1700 nm) and machine learning algorithms for precise plastic sorting.  

Implementation involves rigorous testing and refinement at Contenedores Lolo’s facility. Expected performance includes a 96% accuracy rate in plastic classification, 30% reduction in sorting time and 10% increase in recyclable material quality.  

Expected results

The expected results include successful deployment of CIRPLASTIC at Contenedores Lolo, achieving 96% accuracy in plastic classification. Specific targets include selling 35 units by 2028 and generating EUR 1 925 000 in revenue.  

The overall impact is a significant reduction in plastic waste, improved recycling processes and support for the circular economy. The project’s success will be measured by performance metrics, environmental benefits and customer feedback.