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News & Events

Stay up-to-date with our latest news and events.

News & Events

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09.04.21

Recycleye’s Co-founders Named in Forbes 30 Under 30

Recycleye’s co-founders CEO, Victor Dewulf and CTO, Peter Hedley have been named in Forbes’ annual 30 Under 30 list for Social Impact. …

News

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08.04.21

Recycleye, Valorplast and Total partner with Citeo to develop and improve household waste recycling technologies

Recycleye, the intelligent waste management start-up, Valorplast, expert in the recycling of household plastic packaging, and Total have joined forces to launch OMNI, a solution to develop and improve technologies for recycling household waste….

News

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01.04.21

Recycleye is Removing Waste from Space!

At Recycleye we are developing technologies to win the war on waste. Today, we announce the launch of Recycleye Satellite: the first satellite-vision system capable of identifying all waste on earth from space!…

News

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30.03.21

Recycleye Shortlisted for Best Team Culture Award

Recycleye have been shortlisted for ‘Best Team Culture’ by the Company Culture Awards!…

News

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02.03.21

MTC and Recycleye Partner in Recycling Revolution

Recycleye has partnered with the independent research organisation, the Manufacturing Technology Centre (MTC), to develop Recycleye Robotics, the most affordable, and easily retrofittable robotic picker in the waste management industry. …

News

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23.02.21

Recycleye are ‘Ones to Watch’ in StateUp 21 Report

Recycleye have been featured as ‘Ones to Watch’ in the renowned advisory firm StateUp’s annual StateUp 21 report….

News

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18.02.21

EIT RawMaterials Supports Recycleye’s Mission to Combat Waste

Recycleye is pleased to announce that EIT RawMaterials is supporting the start-up through the RawMaterials Accelerator programme Phase 3 – Grow. …

News

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15.02.21

Maddyness Features Recycleye: ‘The Company Using AI to Reshape Recycling’

Maddyness, the go-to magazine for innovators, has published a feature article on Recycleye, ‘The Company Using AI to Reshape Recycling’….

News

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15.02.21

Decentralised and Digitised Mini Material Recovery Facilities

This research explores the disruption of centralised waste facilities to accommodate a decentralised model, known as the mini-MRF, that is capable of extracting more value out of waste streams….

WasteNet WasteNet: Waste Management

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04.02.21

Deep Learning: Unsupervised Domain Adaptation

The goal of this WasteNet series is to engineer a Deep Learning model that will focus on UDA for the instance segmentation task. As such, there are only two other approaches that are addressing this. …

WasteNet WasteNet: Machine Learning

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01.02.21

Regulated Bans in Waste Management

Amandine looks at how we can form healthier consumer habits and increased recycling rates by enforcing regulations around complex materials….

WasteNet

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01.02.21

An Application of Machine Learning for Brand-Level Waste Management

Computer vision for brand-level logo detection of waste in real-time was tested. The brand recognition of waste items can be used to increase the granularity of the waste characterisation, simultaneously providing information to improve mass measurements. …

WasteNet