The recycling industry faces significant hurdles, particularly in plastic waste management. Recycling units and materials recovery facilities (MRFs) are committed to creating a sustainable circular economy, yet they encounter numerous obstacles. RecyclifAI Technologies is dedicated to addressing these challenges through innovative solutions designed to enhance plastic recycling efficiency.

High Proportion of Contaminants in Recyclables

One of the most pressing challenges recycling facilities face is the high level of contaminants in recyclable materials. Non-recyclable items that inadvertently enter the recycling stream can lead to entire batches being sent to landfills, with contamination contributing to nearly 20% of recycling waste.

RecyclifAI Technologies proposes an AI-based classifier that utilizes a 3D area-scan camera to accurately identify and separate contaminants from recyclables. By employing AI and machine vision concurrently, the solution significantly reduces sorting errors, enhancing the recyclability of materials.

Inefficient Sorting Processes

Inefficiency during the sorting stage is another major hurdle. Many facilities rely on manual labor for sorting, which is time-consuming and error-prone. This inefficiency can lead to higher processing costs and decreased value for recycled plastics.

RecyclifAI’s smart sorting solution empowers clients to enhance sorting efficiency dramatically. AI-powered robots can sort recyclables at speeds of up to 160 items per minute with an accuracy rate of 95% or higher, significantly surpassing manual sorting capabilities.

Challenges of Recycling Pigmented Plastics

The recycling of pigmented plastics presents unique challenges, as their market value is generally lower due to limited applications. Many facilities struggle to differentiate between opaque and transparent PET types, complicating the recycling process.

RecyclifAI’s AI-backed sorting solution enables precise management of pigmented plastics. Utilizing machine vision technology, the solution can distinguish waste based on material composition, color, clarity, and shape, enhancing the quality of recycled materials.

RecyclifAI Technologies is committed to transforming the recycling landscape through innovative solutions that address key challenges in plastic recycling. By leveraging advanced AI and machine vision, the company aims to improve efficiency and contribute to a more sustainable future in waste management. With these efforts, RecyclifAI is facilitating the transition to a circular economy, paving the way for more effective plastic recycling practices.