- ARTIFICIAL INTELLIGENCE WILL PENETRATE ALL AREAS OF THE RECYCLING INDUSTRY.
- THE REASON FOR THIS IS OFTEN NOT WELL UNDERSTOOD. THE MAIN REASON FOR INTRODUCING ARTIFICIAL INTELLIGENCE IS THAT LABOR IS BECOMING TOO EXPENSIVE FOR TAX REASONS AND DUE TO DEMOGRAPHICS.
- THIS IS AN INCENTIVE FOR COMPANIES TO USE MACHINES FOR MORE MUNDANE TASKS.
- HUMANS ARE LIKELY TO MOVE UP THE VALUE CHAIN AND TAKE ON NEW ROLES IN MONITORING AND MANAGING MACHINE INTELLIGENCE.
- IN THE CONTEXT OF THE WASTE AND RECYCLING INDUSTRY, THIS ENTAILS TASKS RELATED TO THE TRAINING OF THESE MACHINES, THE STRATEGIC DEVELOPMENT, SALE AND ACQUISITION OF INFRASTRUCTURE COMPONENTS TO IMPROVE PROCESSES.
1. A BRIEF OVERVIEW OF THE PROSPECTS FOR ARTIFICIAL INTELLIGENCE IN THE WASTE AND RECYCLING INDUSTRY
Artificial intelligence can be an additional lever to improve the performance of sorting and recycling plants. The second role they fulfill is the technical management of supply chains. The supervision of machine intelligence is performed by highly skilled workers.
First, it must be noted that there are certain limits to the quality performance that can be achieved using artificial intelligence in combination with robotics. Robotics is increasingly being used in Western countries where there is a shortage of workers in the recycling industry. In the United Kingdom, robotics is already playing a role in waste management. This is not to say that robotics and artificial intelligence do not play a role in the German waste management industry, it just means that their development is much more advanced in countries like the UK.
What artificial intelligence offers is an improvement in process technology. Processes can be carried out around the clock and at any time, but this is often not possible because the input and output of waste facilities must be monitored by personnel. This is difficult to do, especially on weekends and holidays.
Artificial intelligence solutions play a role in the repetitive tasks of sorting operations by identifying specific items, metals and sizes that need to be removed from the waste sorting line. After correctly identifying an item, the artificial intelligence software stores the image of the item and matches it with previous findings, providing a more accurate idea of which items need to be removed from the waste sorting line at the sorting facility. This actually saves man-hours.
If you would like to learn more about this topic, we recommend reading the following on our website. This article looks at some of the key considerations for the artificial intelligence revolution and, in particular, how it affects waste management.
- The basic idea behind the spread of artificial intelligence is that it helps companies reduce operating costs. One reason for this is the availability of workers and the fact that these workers cannot work around the clock. There is still a long way to go before artificial intelligence is fully capable of replacing workers to the point where human supervision of recycling operations is no longer necessary.
- Artificial intelligence may not be a replacement for current recycling processes. It may well be seen as a supplement that allows workers to focus on other tasks such as monitoring the machines. The machines are assigned more rudimentary tasks.