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Advancing AI Waste Intelligence

SUPA's labeling infrastructure helped Greyparrot.ai, a global leader in AI waste intelligence, expand to 89 categories

Problem statement

Greyparrot undertook the task of expanding its waste recognition library to encompass 89 categories, enabling a finer analysis of various waste streams.

SOLUTION

SUPA's technological infrastructure optimized the data labeling pipeline, slashing the startup time from 2-3 weeks to a mere 24 hours, all while maintaining stringent data quality standards.

RESULT

Drawing upon SUPA's proficiency in data annotation, Greyparrot extended its waste recognition library from 49 to 89 categories; and it doesn’t stop there.

Overview

“With the expansion to 89 classes, this granular data unlocks further digitisation and automation capabilities for recycling operations as well as provides rich data for the waste ecosystem. SUPA's labeling support has been instrumental in our accelerated progress.”

‍– Dominic Calina, Head of Data at Greyparrot.ai

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The Problem

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Recognizing waste objects accurately is pivotal in optimizing recycling processes. Greyparrot faced the challenge of enhancing its waste recognition library to provide more granular analysis of waste streams, enabling recycling facilities to improve efficiency and sustainability efforts.

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The Solution

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Partnering exclusively with SUPA, Greyparrot embarked on a journey to enrich its AI models with high-quality labeled data. SUPA's specialized annotators, equipped with domain knowledge, collaborated closely with Greyparrot to continuously scale classes, ensuring the accuracy and relevance of the data. Additionally, SUPA's tech infrastructure streamlined the data labeling pipeline, reducing start-up time from 2-3 weeks to just 24 hours, while upholding data quality standards.

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The Results

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The ongoing collaboration between Greyparrot and SUPA yielded profound results:

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Enhanced Recycling Efficiency: The expansion to 89 waste categories enabled more granular analysis, empowering MRF operators to optimize recycling processes and reduce environmental impact.
Accelerated Digitization and Automation: Granular data unlocked further digitization and automation capabilities for recycling operations, driving efficiency and sustainability.
Streamlined Data Pipeline: SUPA's tech infrastructure facilitated a rapid labeling process, significantly reducing start-up time without compromising data quality.

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This exclusive partnership propelled Greyparrot to expand its waste recognition capabilities, consequently reshaping the waste recycling industry.

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