AI-guided robots are ready to sort recyclables
spectrum.ieee.org
spectrum.ieee.org
The hardest task of recycling is the separation of items. Centralizing this does not scale as you need to hire more and more underpaid worked to do this task. The task that was done for free before by the person throwing the item out. All the facilities had to do is sort the remaining small percentage of miss sorted items instead of all items.
Excellent human sorting as you find in Japan or Switzerland is rare. Of course it is desirable. Pre-sorted inputs are not perfect in those jurisdictions, and rare in most other places.
The comment above lauds the technology here and I agree. Sorting a recycling line is a terrible kind of job for the majority of adults, and economics make the implementation worse in many cases. De-facto, it is the handicapped, children, prisoners and starving people that sort trash in most of the world. 1st world machinery with the right economics are an improvement in almost all cases, especially where food waste might be involved.
That said the local garbage dump is encroaching on a refugee settlement, if it was something that could help it encroach less on that maybe it's a good thing.
Lots of factors here.
South Korea didn't do it this way in the beginning. When I was in China a couple of years ago, they were just starting to process their garbage this way, though it'll take a while for them to really do it well. The interesting question is why it's so hard to get the west to handle things this way. I don't know Europe, they might be better, but I know North America, and wow, the people in North America really don't care about this kind of stuff in general.
If you do then centralised sorting is clearly better all round. It's less work for people, collection is simplified and more efficient, you don't have issues with people missorting, you can sort into more categories, etc. etc.
Yes. That's what people are trying to solve.
But that's irrelevant. Your original comment was claiming that manual sorting isn't a pain because it's the proper thing to do. That's just nonsense. It's the proper thing to do (for now) but it's also a pain.
Would you have said washing clothes wasn't a pain in the 1800s? It's basically the same thing. Something annoying that you have to do because the technology to do it automatically hasn't been invented yet.
Perhaps different people also have different thresholds for pain. I'm not sure people in the 1800s would have thought, "Gee, washing these clothes is such a pain, I wish something could be invented to do it for me." I think they rather would have thought this is just a natural part of life. Perhaps the super rich who could afford servants could have the luxury to afford such thoughts. I'm betting many people in the 1800s wouldn't have even been in that headspace.
Again, you said that presorting is the proper thing to do in a reality without centralized sorting. At this moment, I can't really think of anything that I'd consider both "proper" and "painful" if I have managed to seriously make my mindset consider that thing to be "proper". Before making the switch, I would consider it "painful", yes. Looking at the before and after, I can only see maturity being the dimension that really changed. Maybe commitment is another word that could be used too. But if I really think about it, I think commitment would be so heavily moderated by maturity to the point where it might as well override commitment in terms of effect. Again, I'm open to alternative words if any can be suggested.
Sure it does.[1] What doesn't scale is manual sorting. It complicates collection, because there are all those bins to empty,the trucks are more complicated, and humans aren't good at separating the different types of plastics. That's easy with multispectral imaging, but humans lack that capability.
Bulk Handling Systems seems to be the US leader in this. Robots are used but do under 10% of the job. Most of the sorting is done by screens, shakers, drums, DC and AC magnets, and air-jet optical sorters. The robots only do "quality control", pulling out stuff that the heavy machinery mis-sorted.
San Francisco has one of their plants.
Aluminum is easily separated and recycled, and is the only profitable part of the operation. Steel gets separated and melted down, and about 40% of US steel is now recycled. Which is why Nucor, which started as a recycler, is the biggest US steel company. Some kinds of plastic bottles recycle well, but it doesn't really pay. CarbonLite, with three big plants, went bankrupt in 2021. The buyers kept the plants running, but the investors didn't get much. CarbonLite was caught between high fixed costs and not enough market for their product.
There's not much use for mixed paper. Offices used to generate large amounts of good quality paper, and newspapers were a consistent source of uniform product. But now, most paper is discarded packaging, with too much else mixed in.
It's hard to make money at this. Separation, though, is not the problem.
My favorite thing about some of these sorting systems is that they are online but not instantaneous. For any reasonable rate of objects passing by the scanner, they can determine yes/no (or maybe/no) in a fixed amount of time, say 10ms for illustration purposes. So the picker is 10ms down the conveyor from the sensor, and the signal arrives at the precise moment to activate the picker. More computers or faster computers let you increase the flow rate by increasing either the density or the speed of the conveyor, but it's always a realtime system.
For instance I don't think that lead aluminum alloys care too much if you get a little bit of soda can mixed in, but I sure care if you put lead alloy in my window screens or into my aluminum can (although the lining protects a lot of the can, it doesn't protect the lip or your sweaty hands, or the PR nightmare of discovering lead in the cans).
It would revolutionize the packaging industry and many others, making everything easy to automatically disassemble and recycle.
The UK doesn't have a single standard on how to do recycling, it is up to each town council to choose how things should be sorted as well as the type and colour of the bin for each class, someone from outside that area would not know the system without being told.
Now 25 years later I find myself saying similar things when discussing the topic with people who fear automation displacing workers, and my initial response to this article was much the same.
Then, a memory of a commercial I used to see as a kid popped into my head and for the first and only time I’ve felt myself being pulled to an anti-automation sentiment - and this is an isolated use case of automation I am feeling this way about, and it is all because of this commercial that apparently still occupies a place in my mind probably 40 years since it aired.
https://read.deeplearning.ai/the-batch/issue-150/
To be fair, it's hard to predict the future.
It’s short. I hope all commenters take 30 seconds to watch it, and maybe within the discussion in this thread, someone will make a salient point that explains away the nuance I referred to for this exact specific instance.
It just gave me pause, and opened my eyes to that the issue - and my beliefs - can be more nuanced, in light of such things as the PSA from the 80’s I linked in my original post. What’s that guy supposed to do? He Eve said he learned it slowly but now he’s good at it. When all the sun-menial tasks are automated, what becomes of them?
For the record I am a cynical technophile by any measure. I have been called callous (and much worse) for statements like “starvation is a self-solving problem. Eventually there will be enough food for all, as the population decreases”… don’t think me anti-automation; this edge case is a thing that makes me go “hmmm…”
I also don't think this trend of inventing new jobs will hold true forever. To the poster who asked why this would suddenly change, it's because we now have algorithms which can learn. We may be long dead (though perhaps not), but I am absolutely convinced that eventually we will invent machines which are able to perform any given task at or exceeding normal human ability. When that happens, and when we deploy it in mass across the economy, I think we'll have to face an existential crisis as a species.
Today we want everyone to have a job because we want everyone to have a means of independently supporting themselves. We want each of us to contribute to society, to not be a burden. We want people to have a job because it often provides a sense of dignity and a sense of purpose.
My thought is that, just as you say that normal people will find another job as automation advances, the attitude we will need to adopt instead will be that people in general disabled or not will need to find another means of providing meaning in their life. Because honestly, my thought when watching that commercial was not, "oh how nice that this individual is working." My thought was that the job looked terrible, is probably not good for health, and that it's not a job that human beings should even be doing. I generally think this about most jobs, but especially so about jobs where you're sorting through waste.
Real people will suffer from automation, but I think the process is inevitable, and personally wished I existed in a time where automation freed all of us to pursue what we were interested in rather than serving the purposes of making the economic machine spin round. Let it spin on its own.
Here is the thing, this isn't as linear as you make it out to be and is seemingly not taking into account very obvious escalation of things as Society fails to deliver and fail it's populace: protests, strikes, peasant revolts, and eventually total war. You cannot exclude the lower rungs of Society and expect that because of 'progress' things will sort themselves out.
Just look at the wide-spread amount misery we've seen since 2008, people creating tent cities and the mass homelessness has led to a Humanitarian crisis, and an epidemic itself.
With that said, recycle sorting is a MVP for AI/ML applications: it's a low paid, and hard job that requires a perpetual stream of exploitable underclass based labour: even if someone would want to do the job short term out of desperation, it isn't one that will be held long term so the churn, specifically turnover, is probably not worth the cost in retraining Human based worksforce.
Matanya Horowitz a grad from CU Boulder, and eventually PhD grad from CalTech, was working on this [0] when I used to work out of the engineer department, he eventually went on to start an AI based robotics company (AMP) and raised 75 million since it's inception.
I'm also of the POV, after having done Ag myself and seeing the complexity of supply chains and the inherent pitfalls and obstacles it relies on, that farming must go at least 90% automated: primarily it is based on the fact that ~99% of the population relies on the other 1% to feed itself since that is Globally the amount of people involved in Ag--and the average age of farmers Globally is well into late 50s an early 60s. This is an imperative issue that requires more talent focus on automated processes in the laborious and most physically straining aspects that require often short-term and poorly compensated migrant labour--it's essentially slave labour 'with more steps.'
Instead of creating scripts for IT departments you should perhaps you should stop focusing your energy on such low-hanging fruit if you really believe what you wrote and focus on the major existential issues before you start wielding your technophile iron fist and talking about social engineering on this scale. Moreover a month's work of seemingly meaningless manual labour would also give you some much needed clarity and perspective.
With that said, I went from fintech founder to working for a megacorp and quit because I felt my skills were being wasted and did my last stint in kitchens right before COVID when the 'burger flippers, and food delivery people are obsolete and will be automated' rhetoric was at ATH. After COVID (which is still a thing) it's pretty clear now that reality hit those people incredibly hard, and salaries in those Industries have finally caught up with the demand from the Market as more people refused to come back and the 'automate everything' crowds are licking their wounds with mediocre results.
I went back to school to study AI and ML because I want to focus on automating Ag, and even with the leap it has amongst most other Industries, there are still a myriad of issues to work on in regards to Computer Vision and engineering feats that are optimized for crop-specific harvests and weeding.
We're getting a taste of what broken supply chains and surging costs is having to Society, and the truth is as bad as it is still (barely) working; and when food stops being delivered is when Society starts to undo itself incredibly fast.
0: https://businessden.com/2017/11/02/cu-grad-raises-3m-recycli...
1: https://www.colorado.edu/coloradan/2021/07/02/cu-alum-create...
One point I would like to respond to is that the only specific instance I mentioned where I said we should be “automating ourselves out of” jobs, was in the context of those systems/network/devops roles; roles I myself have held.(Incidentally, automation at the enterprise level involves far more than “writing scripts for IT departments” that you reduce it to, and that is somewhat what I was referring to when. I mentioned that there would be bigger and more important business processes to support as infrastructure becomes commodity, and some automation framework(s) become SOP. Sorry, I digress.)
I did not suggest anywhere - at least I didn’t mean to - to wield a techno “iron fist” (although that does conjure a pretty cool image in my head <grin>) and I don’t think I suggested that every job everywhere should be automated, and in fact the memory of an 80’s PSA coming to mind giving me an immediate feeling of sympathy for that guy in the video, was really the whole point of why I posted.
Also, I wasn’t born into high-paying tech jobs. I was once young, and indeed have worked some pretty shit jobs. I don’t however, think they were meaningless. They may have meant nothing to me, but obviously someone thought they were worth paying me for. So aside from “dig a hole and refill it” type work, I don’t view anyone’s job as not having worth.
It does beg the question, “what will the shit jobs be for future teenagers?”, which I will for the sake of simplification lump into the same category as the glass-sorting job in the PSA. I don’t have an answer for that, at least not yet.
Perhaps this is tangential to the existential crises you describe, but, like you, I have been learning ML/AI, since about 2016 (whenever that “A Neural Algorithm of Artistic Style” paper was published) and I do have some fears about AI, superintelligence, etc and what bad things will (not just may) come of it, though admittedly my fears of the negative are far outweighed by my excitement for the positive potential. This is why I own paperclipmaximizer.ai though admittedly my tongue was firmly in my cheek when I bought it. We can only hope our super intelligent AGI overlords are as optimistic as the GPT-generated quote from Maximo on that site.
I appreciate everyone’s input and time taken to provide it. I have been reading HN for a long time, but never registered or posted until last week. It is really great to have a community of intelligent people not trolling or shitposting and I was pleasantly surprised that you all actually watched the video and came back with real points of conversation. Thanks!
And of course there are the short term effects to consider too. If truck driving is automated, a fifty year old truck driver is unlikely to find a similar job. Changing careers gets progressively harder as you grow older. Many people will be unemployed for the rest of their lives despite other new jobs being created.
For sure, all of the tasks they do during the day can be automated and in-fact are automated at the big facilities. However, people like to buy their products - not only because they like to support them and to give them the chance to contribute to the community (like it was said in the video: they pay taxes and everything) but also because there is a general market for hand-made stuff. There is always a small niche of consumers who prefer hand-made stuff because of its individual charm etc. over the soul-less mass-manufactured alternative. I believe that this demand exists precisely because of the rise of automation (and thus is unlikely to vanish is automation is pushed furhter).
I'd also argue that working in a woodworking shop - being able to actually create something and (if the handicap/IQ allows for it) even be creative - has a much better effect on overall quality of live than working on a assembly-line bullshit job. I don't know of a handicap which does not allow you to work in any of these kind of jobs but does allow you to assort plastic from paper within reasonable amount of time (but I'm sure someone can give me an example; in that case I'd argue that its up to us to find or "invent" a suitable job or some helper-device to enable them to do so - we have the money to do this).
So yes, maybe getting rid of that particular job is the best thing that could happen to the guy in the video - provided there is another job-alternative available that does not only let him add value to the consumer-society but also to the intellectual and creative parts of it as well as of himself (relative to his level of disability).
What you as a 50 y.o. trucker are going to do when Waymo takes your job instead? There is no way you can get the same 6 figure job somewhere outside the truck-driving business.
Charge product manufacturers enough tax to get recycling of their packaging to 95%.
Aluminum and clear glass would immediately become more popular (they are mechanically sortable). I'm guessing the manufacturers would quickly standardize on a small number of plastics for everything else.
[1] https://www.plasticstoday.com/packaging/arizona-beverages-sw...
You can also use various densities of liquid, to catch different densities of plastic floating vs. sinking if you've already crushed things up to avoid air bubbles. However, then you need to later separate the liquid from the shredded garbage.
[1]: https://en.wikipedia.org/wiki/Resin_identification_code
Before we tried to use AI and cameras for this task, bottle-return machines have just used barcode scanners. They're fast, deadly accurate, and take zero intelligence to program. The achilles' heel is certain jerkface brands that use white-ink-on-shiny-aluminum, which violates the contrast requirements of many scanners. For those, image recognition would be a valuable second method.
Further down the author finally starts to talk about their topic (trash picking robots), but then digresses yet again. It's a really terrible writing style.
State what your topic is up front with a brief high level, then you can mix in some more background while expanding on the details further below.
Then sometime after I read something by Mark Twain for the first time. I was blown away at how much easier and more enjoyable his writing style was.
[14 paragraphs of crap]
Ingredients list.
Recipe.
Aaaaaaaaaaaaaaaaaargh!
When I was a child I saw one system that expected all aluminum that just used an electromagnet to lift any steel out of the stream. That was quite a ways up in the air so I suspect the owner would have gotten pretty pissed if we threw a bunch of nails or soup cans in the bag for fun. But most of the other ones I've seen have two conveyors with a gap, and they use an AC magnet to fling the aluminum onto the second conveyor (via eddy currents). Most of the ferrous stuff just drops into the first bin, or funnels off to be sorted again.
For your plastic or glass suggestion, that may take breaking it up first, since large items might not lift or go in weird directions. And then some plastics are pretty dense. I have the vaguest notion that I might have seen a system that sorts plastic from glass while washing it, since the glass sinks and some plastics don't, but that could have been a prototype or a misfiring neuron for all I can remember.
Lights and hands cost way less than complicated grip machines.