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Hi Peter,
Yes, that sounds fine.
Note however that in case that the optical sensor is dirty, you should clean it by wiping it gently with a soft, clean, dry cloth. That is because the device itself is not waterproof and should be protected from water and other liquids.Hi all,
1. The applets you see in SCiO app are based on models created by Consumer Physics. The models you see in the your custom app are from your developer account in SCiO lab.
We have shared some of our models as well, so you can use them in your own app. Please read about it here: https://dev.consumerphysics.com/category/mobile-api/android-api/creating-your-scio-app/get-cp-models/2. The models you see are from the “hard cheese” collection in your SCiO Lab account. It is a data collection provided by Consumer Physics to all developers as an example, so you can understand how a proper data collection looks like.
3. When you create an app key, you get access to all the models you have in your account. Note: in the future, we will allow choosing which models are accessed via specific app keys.
Ayelet and Guy
The Consumer Physics TeamHi all,
Plant nutrient analysis is an interesting field for SCiO which we are exploring.
However, we have not yest developed a plants database and do not plan to do so in the foreseeable future
Therefore, further experimentation is needed.
We welcome application development by third parties. To develop such an application will require a complete sample collection -which we will not be able to supply. Such an application may be developed using our SCiO Development ToolKit (DevKit).
As with all potential applications, feasibility testing would need to be completed along with development of the corresponding molecular sensing models and a corresponding app.
Two things should be taken into consideration when working towards an application in this field.
First, as SCiO’s detection threshold varies by material, and is typically 0.1%-1%, some micro-nutrients will not be detectable.
In addition, it should be noted that building the database for such an application requires access to samples and their chemical characteristics.Let me know if you have further questions.
Ayelet
Thanks,
I’ll forward it to the SW team. Not sure it’s a bug, probably some kind of problem with the format which I couldn’t identify either.
As for deleting a data collection, did you use our ‘Delete’ option under Attributes tab and entered ‘Tomato’?
Was an error message displayed?
Ayelet
Hi Matteo,
We sincerely apologize for the delayed response.
This feature is currently not available.
You can add a new scan only via SCiO Lab app.
Ayelet,
The Consumer Physics Team
Hi Jay,
Under ‘Redirect URL’ you may use any URL address you want.
Verify that the URL is not a sub-domain and that the address doesn’t end with \\.
Let me know if that works for you.
Ayelet,
The Consumer Physics Team
Hi Jonathan,
I apologize for the delayed response.
You can create this kind of a model using Scio Lab tools.
As you mentioned, for one collected data set, 5 different models should be created – each time the data should be filtered differently to create the required combination.
Our experience shows that due to different grains weight and particles size, it is difficult to preapre the samples so that the mixture will be homogenous.
As you may know, the more homogounes that sample is, the better results will be calculated.
Also note that different grains may have quite similiar spectral signatures so that it might be difficult to classify between some of them.
Ayelet
Hi Gaurav,
I have sent you an e-mail to your personal e-mail address.
Our software team need more data to investigate the issue: scan id, model name, and time in which the scan was taken.
Can you please send us these details?
Ayelet
Hi Luigi,
Note that if the attributes values are identical all the samples in a collection, there is no point creating a filter based on that attribute. Therefore, this attribute does not appear in the list of attributes that you can filter by.
Ayelet,
The Consumer Physics Team
Hi Matteo,
Our software team have reviewed your code.
Note that you didn’t mention the parts of setting the client ID and redirect ID.
If you don’t set them, you will get the error of “missing required parameter in…(400)”.
You can look at:
the “
didFinishLaunchingWithOptions” method (in AppDelegate.m class in the sample app code). Below are the required method to set the client ID and redirect ID:[[CPScioCloud sharedInstance] setCliend_id:@”4b5ac28b-28f9-
4695-b784-b7665dfe3763″]; [[CPScioCloud sharedInstance] setRedirect_uri:@”https://www.
consumerphysics.com“]; Please let us know if that was helpful.
Ayelet,
The Consumer Physics Team
Hi Gaurav,
Indeed seems like technical problem.
We will investigate this issue and will keep you updated.
Ayelet,
The Consumer Physics Team
Hi Jonathan,
That is correct!
If you wish to detect 50% rye content and 50 millet content in the same matter, this information can be detected by 2 separate estimation models.
Each one will be used in order to analyze the same spectral data based on each attribute.
I hope this is clear now.
Ayelet,
The Consumer Physics Team
