Forum Replies Created
-
Posts
-
Here’s a thought for you: allowing functionally-blind people (I recently read a novel about a completely blind/deaf/mute ex-cop) with poor touch (calloused or damaged fingertips?) and/or with worn bills to identify bills. I know Euros are different sizes, and I don’t know about UK bills, but US bills are all the same size. Perhaps an app to help blind people be more certain that they haven’t been handed a fake, or handed a lower denomination than they were told. You probably wouldn’t need to include voice or morse-code-vibrate capability; there should be apps which handle that already.
With the computer revolution, most clerks (except in banks) no longer count money out loud by denomination; they just silently drag out a wad of bills, causally riffle though it to be sure it’s in the ballpark (why do you say I sound cynical??), and give it to the customer.
Yes, I know plastic is probably a better overall solution for a blind person…
–Scott, who is hoping his eyes will never get that bad.
Also for food, the type of food preparation will generally have a major effect on toxins and on nutrient bioavailability.
–Scott.
P.S. Off-Topic: I keep getting distracted by happy-dance face.
Sugar is ESSENTIAL for health. The effect of a certain amount of sugar depends upon proportions, other nutrients, gut environment, DNA genome and probably many other conditions.
–Scott.
The lookup, of course, would be just be the official information, unless and until an approved SCiO developer provided a lab analysis.
I agree that this would be a nice feature; it would help identify under-analyzed products. Of course some products wouldn’t be appropriate for analysis, but the SCiO app could be used to track purchases or items of interest, etc.; a back-door usage of SCiO.
–Scott.
Probably geotags and other info should be included with all scans destined for public use, in case there is a geographical difference. For example, Coca-Cola will vary by region.
–Scott.
So you need a way for the app to identify a false positive and switch models in that case? If it contains >x% sugar, switch to the sugar model which ignores the amount of salt?
If false positives are possible, there clearly needs to be a way to handle this, although it sounds like there might not be a good answer aside from simply telling the user about it.
–Scott.
I agree, this sounds like a critical issue.
Perhaps an option to compare with the general/public database to check for a closer match? Although I don’t know if I’d want to rely on an unknown mushroom to be non-poisonous, unless the SCiO is able to detect the actual poison.
–Scott.
It would seem much more likely that this would be (as you say) a toy application — showing notes which have been in contact with cocaine, notes smeared with disease-ridden kid snot, etc. 🙂
Also, the Bank of England has instructions on non- or low-technology techniques to identify counterfeit bills.
http://www.bankofengland.co.uk/banknotes/Pages/retailers/default.aspxInstructions are also available for Euro currency:
http://www.new-euro-banknotes.eu/Euro-Banknotes/Security-features/LOOK/THE-NEW-%E2%82%AC20and US currency:
https://uscurrency.gov/Given this, I don’t see an app as more than toy, as you say, although I’m sure you can find lots of interesting facts, such as identifying US bills which have been tested using a marker. I suspect you’re unlikely to see a real counterfeit bill — I don’t see any police department agreeing to let you test known counterfeits; they’ll probably refer you to the treasury.
–Scott.
Hi,
It occurs to me that there are advantages both ways; chopping and grinding would presumably be better for nutrient analysis, but whole grains or beans would be faster and might be adequate for the purpose.
–Scott.
Hi,
It would help us other readers to start a new topic for each question; the original topic of this thread is Bluetooth Low Energy.
Concerning Rejsharp’s last paragraph, other reasons to not rely on labels is that some may be wrong unintentionally (such as spoiled milk or undocumented supplier changes), while others may be fraudulent. Also, there may be lab variations — if there are multiple ways to analyze something, you will want the one which is accurate to well under 1%. For food, you have the additional complication of bioavailability.
–Scott.
