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Conventional multispectral and hyperspectral can't keep up (and integrate well) into existing sorting lines. They induce a slow-down in conveyer belt speeds or you have to install splitters and buy multiple $100K cameras.

(we're working to solve this problem though in the classic VC backed way - DM for more information!)


Ah, another factorio fan I see.


Got me there...


Pickup truck!


Thanks! Still learning Aussie!


It's not quite a pickup truck. It's more an elongated car with the rear passenger area traded for a tray to carry things around in. Though having said that, the terms are often confused.


Like an El Camino but more Aussie?


Yup, exactly.


Living Optics | Software/Production/Systems Engineers | Full-time | Oxford, UK

Living Optics is a new Oxford University start-up building next-generation hyperspectral cameras. We are creating a leap forward in our capacity to easily see what is invisible to the naked eye. Using a combination of patented optical methods, machine learning, and applied mathematics, we are radically miniaturizing hyperspectral photography, bringing down costs while improving performance.

We're building a world-class team to bring our hyperspectral vision to life, and are looking for engineers who are excited for the challenge!

The roles we're hiring for are:

- Software Engineer (Hyperspectral Applications)

- Senior Software Engineer (Architecture)

- Junior DevOps Engineer

- Production Engineer

- Systems Engineer

For more information on the roles: https://livingoptics.co/careers.html

Feel free to drop me a PM about the roles or about the company!


Hyperspectral imaging.

It reminds me of a Star Trek tricorder. Imagine having a camera where you can see easily ID greenhouse gases, quantify water/fat content in food, identify plant diseases, verify drug components, identify tumours, and measure blood oxygenation. On the machine vision side of things: it could probably outperform any conventional imaging + DNN combination, and you'd probably get pixel-wise segmentation for free while you're there.

There's been a lot of academic progress going on - it shouldn't be long until hyperspectral imaging makes its way into our lives.


It is very much a part of your life if you are a member of the military or any number of government agencies. Has been a long time.


Yeah for sure, the current ones are disgustingly expensive and atrociously hard to use though!


Out of curiosity, do you work in this space? Would be interested in finding out more about the state of the field.


Yeah! Ping me anytime, email in profile.


Nissan tried to sue Uzi Nissan, the owner of the domain, for cyber-squatting and lost...[1]

https://en.wikipedia.org/wiki/Nissan_Motors_v._Nissan_Comput...


I believe Ford sued the owner of volvoguy.com and won.


I suspect, though that the owner of volvoguy.com wasn't named Joe Volvoguy. It also appears that volvoguy.com is currently a Chinese language website (which Google says simply tells me that service is not available in my area). On the other hand, Ford hasn't owned Volvo in years and the current owners are a Chinese holding company so who knows? (And Volvo Cars, formerly owned by Ford and now Geely Holding Corp, is not to be confused with the publicly traded AB Volvo which makes heavy trucks and which owned Volvo Cars before selling that division to Ford.)


Yes, big difference between swedishbrickguy.com and volvoguy.com.

Up here in the People's Republic of Kanuckistan, Canadian Tire even won a case with someone over crappytire.com. I thought that was heinous, personally, but INAL, so I am biting my tongue and not claiming that the judge erred in law.


Living Optics | Software Engineer | Full-time | Oxford, UK

Living Optics is a new Oxford University start-up building next-generation hyperspectral cameras. We are creating a leap forward in our capacity to easily see what is invisible to the naked eye. Using a combination of patented optical methods, machine learning, and advanced applied mathematics, we are radically miniaturizing hyperspectral photography, bringing down costs while improving performance.

We are building a world-class team to bring this vision to life, and we are looking for Software Engineers that are excited for the challenge. As one of the earliest members of the team, this candidate will be ready to excel, will teach and learn from others, and rewarded for their contributions.

Key responsibilities

    Research and development of machine learning models that continually advance the state of the art in image reconstruction
    Using machine learning to expand what is possible with hyperspectral photography including image classification and feature detection
Essential requirements

    Strong grasp of modern deep learning including generative adversarial networks (GAN)
    Hands-on experience building production machine learning systems on cloud infrastructure
    Comfortable diving into the latest research and transferring academic work to real-world systems
    Very creative and ready to think outside the box to improve systems
    Very experienced with Python or similar programming languages
    Strong Computer Science background or similar technical background
    Empathy and readiness to contribute to conversations about company strategy
    Always learning and comfortable with ambiguity
Nice to have

    Experience miniaturizing models for mobile applications using tools like Tensorflow Lite
    Comfortable building tooling to make the team more efficient
    Experience with image processing through machine learning
Remote working: Required during the duration of COVID-19.

To apply, please send your CV to aelnaiem@livingoptics.co.


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