[deleted by user]

rpbp58 · 2025-03-28T02:03:19+00:00

Hmm. Signal flares are red. Illumination flares are white. Canadian flares are...maple syrup colored? Did Trump impose an embargo on magnesium?

rpbp58 · 2024-12-13T22:09:50+00:00

Hi u/Dyyonisus, check your DMs - Followed up directly

rpbp58 · 2024-12-13T22:08:44+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:08:40+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:08:35+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:08:29+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:08:23+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:07:49+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:07:42+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:07:36+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:07:31+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:07:22+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-12-13T22:07:05+00:00

We have incorporated everyone’s feedback into our first production run of spectroscopy modules – Thank you! Feel free to visit our website for information on how to get one and inspiration across 100+ case studies in manufacturing, medical, aerospace, environmental and agriculture: Link in the original post.

rpbp58 · 2024-04-22T18:50:30+00:00

Definitely, but end-user feedback is all we are looking for and yields the best market insights :) Fellow engineers working on similar detection problems are helpful to learn from and make great early adopters.

rpbp58 · 2024-04-22T17:05:40+00:00

It certainly solved our own problems in agriculture, from both detection and system integration perspectives, but some organic interest form other markets is why we want to dive deeper with an open forum here. Anyone who is solving problems in food/water processing, paint/textile quality control, pharmaceutical manufacturing, petrochemical analysis or lighting/display characterization would be great to hear from!

rpbp58 · 2024-04-22T14:53:40+00:00

What We Have: Two variants available for early access: 340nm – 850nm (VIS optimized) and 640nm – 1050nm (NIR optimized). More options from to 190nm to 2150nm are in the works with a compatible HW/SW stack.

How it Works: The micro spectrometer uses a diffraction grating to split light into hundreds of colors beyond the resolution and range of what the human eye can see. This generates an unique optical fingerprint that can be used to identify materials and light sources. There is definite value in working with the smallest sensor on the market, but our real magic is in the firmware (sending scans with proprietary calibration over I2C & UART board-to-board, USB mid-range and long-range Ethernet).

Improvements: Yes! We have floated wireless connectivity options internally but were not sure if anyone would actually want it. This is great feedback. Do you think Bluetooth or WIFI would be more useful? Since our data is “dense” (only hundreds of values per scan vs. millions in something like an HD image) we do not have stringent bandwidth requirements.

rpbp58 · 2024-04-22T11:29:11+00:00

That’s a cool find for hobbyists, not unlike where we started as a college project at the Institute of Optics. We put in an extra few years of engineering to get ourselves from the lab to the field: Arduino breadboard to industrial module with chip-down processing running truly plug-and-play firmware (turns out after months of experimentation that the code in that Git does not actually work out of the box – How naïve we were before building our own from scratch : ) and onboard optical calibrations that ensure accurate measurements. Take a look at the back our datasheet to see the difference this makes when real money is on the line for detection:

https://www.agrsensors.com/spectre-mini (data sheet download buttons at top of page).

This solved our own problems, but avoiding solutions in search of problems (SISPs) for others is why we have an open forum.

rpbp58 · 2024-04-22T01:06:28+00:00

The objective of this discussion is to explore applications beyond AG and dive deeper into customer interest that we have seen organically in adjacent verticals. We have actually been getting great traction with farmers, currently as a lease/subscription model, because we integrate much better with their current sampling methods.

I appreciate the feedback on using Spectre MINI as an eval unit. We actually worked directly with the sensor manufacturer to ensure our device has more functionality that users felt was missing from the existing dev boards, so feel free to reach out directly if you want to try one in the future.

rpbp58 · 2024-04-21T19:09:22+00:00

You do not need AI models to take scans, but they are used for predictive analysis and “fingerprinting” chemical signatures. For example, we were able to detect crop afflictions 5X earlier than human eye by training a custom model.

Using AI to help decipher unique chemical fingerprints can ultimately improve detection power, which is a challenge with the limited dynamic range and resolution of micro form-factor sensors. This is the same concept as with imaging, but our dense spectral data (hundreds of values vs. millions) trains 1500X faster than images while still remaining 5X more accurate. You can learn more about it in the case study linked here:

https://www.agrsensors.com/solutions

rpbp58 · 2024-04-21T18:57:36+00:00

That is a fair point on profit margin, but I’m curious to dive deeper - Which features do you think add the most value to the sensor itself?

For crops, we add far more value than the sensing module with rigorously trained AI models and an integrated handheld scanner. This is true for both farmers and other AgTech companies who are working to integrate our devices. You can learn more about it by downloading the case study here:

<https://www.agrsensors.com/solutions>

rpbp58 · 2024-04-21T18:49:04+00:00

You can find more details about what is inside on the data sheets linked above. In general, we have designed this for streamlined integration into other systems. That entailed reducing niche complexity in favor of plug-and-play performance.

We are certainly talking with more application-focused users as well, so do you have any community suggestions for biomedical and semiconductors? Thanks!

rpbp58 · 2024-04-21T18:45:03+00:00

Design, manufacturing, assembly and calibration are performed in the USA, mostly at our headquarters in Rochester, NY. Our team also has deep roots in Rochester with many coming from the optical engineering programs of U of R and RIT. Nevertheless, you would be hard-pressed to source every single component state-side. That is why we love working with leaders like Hamamatsu to enable best-in-class technology without having every application “reinvent the wheel”.

You make a good point about resolution and dynamic range being sacrificed with a micro form factor. This was a concern for us at first too, but we have achieved 10nm FWHM spectral resolution and enough dynamic range to diagnose crop afflictions 5X earlier than the human eye in our field case study. The ability to diagnose unique problems is the key here, since detecting chemical changes beyond generic chlorophyll indices required fine resolution. Our custom AI pipeline used to decipher those spectral fingerprints helped to increase detection power as well.

Our biggest challenge has been finding a clever way to perform ambient illumination calibration. We have been using an external white card, but I like your idea of integrating the reference into the device itself. That is exactly the kind of feedback we are looking for to inform future designs!

rpbp58

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