[Hagai]

Yes. SCiO can be used while charging/plugged in.

[Hagai]

sakrelaasta wrote:

I am not sure if I have understand fully the way that the database will work, so please excuse me if everything I mention is wrong (and also correct me) So I was thinking… It was been mentioned many times that, the power of the SCIO is the people that do scans and add them (with the necessary extra information) to the database. The good thing is that there will be a lot of people adding data The bad thing is that there will be a lot of people adding data!!! What I mean: Can I “trust” every scan and information that everyone will add? Probably no. And not because the user does a lazy job! Lets say that there is a data base for edible Oils. So I add some data also… – One day I go to the supermarket, buy a bottle of olive oil from a big company, scan it and add all the data that the bottle has about the oil. But in reality the data in the label, are not for this specific oil, but it is an average of all the measurements the company did in all the oil it has. So… maybe this scan+data are not the best for the data base – The second day I take a sample of my small (home) olive oil production, scan it, and take it to a chemistry lab to analyze it. These data will be much much better. So should these two scans, have the same “weight” on the data base? What I think is that maybe there should be a categorization of users that add data according to their background. For example ~ Normal users ~ Users with background in chemistry (or something) ~ Users that used specific measurement in a lab ~ Users that “have labs” (academic or private lab companies) ~ Users-labs that have ISO This way, after the users scans a new object to see the concentration of “chemical A” (lets say it has concentration of chemical A 31%), can choose: “Ok… let see if I accept only the “lab data” or “academic data”. Hmmm they are trustworthy, but there are only 5 different samples in the data base and non of them appears to be close to my scan (their measurements are 5%, 7% 15% 50% 52% and 60%)… not very accurate.. I know that in my sample the concentration of “chemical A” is between 15-50%, but it is not good enough. Lets add the “measurements in a lab”, aaa nice! now there are 50 samples, and many of them are around 22, 24, 30, 35% there are many of them close to my spectrum!!! Great!! that is perfect! My concentration is 31%” Sorry for the long topic… but I couldn’t wait anymore until it arrives to check it myself!! Nikos

Thanks Nikos,

You raise an important topic and, in general, your observation is correct.  Collecting data from a community is complex and not trivial.

Our plan is to gradually roll out a plan where we will request data collection from the community gradually, in increasing levels of complexity and establish tools such as those you mention.

As a starting point (Q4’15-Q1’16), we will collect data that is relatively easy to validate. For example, identification of pills. We intend to request from users to scan medication and classify them. A ‘voting’ system will be implemented, so only if you get enough users with similar scans of the same medication will we accept it. Outliers will not be included.

As we learn more, we will build trust with the quality of data coming from specific contributors, and over time increase the complexity and variety of data we collect from the community.

 

Hagai

[Hagai]

Dehydrating leaves takes some skill, for example, defining the right dehydration temperature and length of dehydration.

Also, the temp of the leaf will significantly change the spectrum.

There is a variety of other things that have to be taken into consideration.

 

This isn’t too trivial and it’s a good example of the skill and knowledge that is required to build some of the models for SCiO.

 

[Hagai]

While H2O is the pure chemical structure of water, in practice (in leaves and in general), water is never found in its pure H20 form and it typically interacts with other substances.

[Hagai]

Thank you! Yes, it’s very clear.

I have passed this to our product team for prioritization.

[Hagai]

Thanks Joe! I sent your idea to our product team for prioritization.

[Hagai]

We recommend to use the accessory – it will give the best results.

Otherwise, use a black surface. One of the ways to test for a good background material, is to scan it with SCiO and make sure no signal is received (reflection should be less than 1%, with no sharp peaks).

Using a CD is not advisable since it breaks the light into its components and sends each “color” in a different angle, some of it may be sensed by SCiO and disrupt the signal.

[Hagai]

redwingii, we’d in fact recommend to create as many separate attributes as possible. The more granular the attributes, the easier it is to analyze and work with the data collections.

 

Regarding subtracting or adding scan groups, as you mentioned that’s not currently available, but when you have enough scans, our algorithm are able to disregard the spectra of the wax since it will not correlate with the attributes you are trying to estimate/classify.

[Hagai]

redwingii, we have identified a known artifact in the early version in this range and we are working to improve it in upcoming versions.

[Hagai]

Thanks Plavixal – we’ll look into that. In the meantime, checkout our YouTube channel here.

[Hagai]

1. Done 

2. I’ve also seen some other posts asking for improved ways to deal with error reporting. We’re looking into it now.

[Hagai]

Great idea! We’ll look into it.

[Hagai]

Red light means that SCiO needs to be charged.

[Hagai]

Thanks redwingii!

I forwarded your request to our development team who meet regularly to prioritize new features on our roadmap.

 

[Hagai]

Thanks redwingii. That explains your name now 

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