Technologies combatting the e-waste problem whether that ’ s by the individual person , the manufacturer or a dedicated e-waste recycling facility .
TMT
Technologies combatting the e-waste problem whether that ’ s by the individual person , the manufacturer or a dedicated e-waste recycling facility .
“ It ’ s been estimated that the value of e-waste produced annually is more than the GDP of most countries . This is largely due to the high concentrations of precious metals and minerals , like copper and iron , which can be extracted from electronics in the recycling process , known as ‘ urban mining ’. However , most resources are dumped or burned as opposed to being responsibly collected , contributing to a hefty US $ 10bn being wasted each year .”
Machine Learning could play a bigger role in unleashing smart waste management and recycling , Hoppitt says , with the potential for an enhanced disposal method . “ There are already organisations out there using amalgamated AI and Machine Learning to sort through and identify the different categories of electronics ,” he explains . “ This technology can select the most suitable recycling or disposal method and collect recyclable materials in the process . Some might go as far to say that the future of e-waste depends on automation solutions , and I ’ m inclined to agree given the complexity and time otherwise involved .”
Hoppitt also recommends working with certified electronics recyclers , with industry accepted responsible disposal certifications , like e-Stewards . “ These organisations ensure secure transportation , destruction , and recycling of end-of-life equipment . They provide processing of equipment at sorting facilities , safe working conditions and proper destruction of media . Lastly , they also harvest components that can be repurposed , extracting precious metals to be resold and oversee responsible disposal of the remaining materials .”
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