I am using Mifare Plus cards instead of Mifare Classic and communications fail. It looks as if the Plus cards must be nearer to the reader than the Classic cards. Is this a known problem and are there any work-arounds short of ripping out existing equipment?
Related
I would like to introduce additional security in my communication using smart cards. I would like smart cards to sign a server and client certificate. Each machine has its own smart card reader. Which card standard should it be? I purchased SLE5528 SLE4428 ISO 7816 but it was probably not a good choice?
No, memory cards like SLE5528 are not a good choice, since they only store data. You need a card containing asymmetric keys and able to apply these for creating signatures. (The other parts of a certificate are easier handled by the application).
Good news is, that ISO 7816 is relevant independent of your card (but not sufficient, you need at least users manual) and depending on whether you intended to use a javacard or a native card 7816-4, -8 and -9 may become relevant.
I have developed iphone app with OCR scanning feature.
Using Tesseract api, got the text from the image taken.
But now i need to separate each text with respect to name, address, email, phone number etc.
Because business card structure/format is not specific, its bit of difficult to assume.
However few things assume
1) "#" containing string mostly going to be email id.
2) all digits with braces or + sign mostly going to be phone number..
but still there are lots and lots of possibilities.
You will need the help of NSLInguisticTagger class .. This is your best bet or else you will have to create similar logic for each part as you stated above.
You can check the logic we used in this Javascript BCR library, also based on tesseract (the porting in js).
https://github.com/syneo-tools-gmbh/Javascript-BCR-Library
I am looking to buy large nfc forum type 2 tags. At least 512 bytes, but preferably the largest 2040 byte tags that are theoretically possible according to the Nfc Forum Tag Type 2 specification. Does anybody know where I can purchase these large tags?
I'd suggest buying a Mifare Classic 4K tag or sticker.
Search for "Mifare 4K" on Google. Any contactless card or sticker you find should work, at least for testing purposes.
I am using Scantron Cognition Enterprise at work to capture data from scanned forms. Building these forms is tedious at best, especially when it would be nice to have a library of pre-built objects to use. Unfortunately, documentation and on-line resources are scarce.
Does anyone have any pointers to find some resources for this tool?
Hey Jason, believe it or not, Scantron is STILL the standard, but this is not the Scantron you probably remember. Although OMR (bubble) forms are still used extensively in education, there are a lot more advanced technologies available to be added to them today.
Concerning Cognition, I looked through the available tags and these would fit:
"document-imaging" - Cognition is a document imaging product and can feed images and index values into most commercially available document storage applications
"OCR" - Optical Character Recognition, or reading machine print.
"ICR" - Intelligent Character Recognition - reading hand writing, usually in a constrained print format (one letter per box like a credt card application.
"datacollection" - the key purpose of Cognition is data collection.
However, there is not a tag for "OMR" - Optical Mark Recognition, or reading bubble choices, similar to the basic Scantron forms of the past. Also, I could not find one for "Key From Image", another purpose that Cognition is used for.
I am a Cognition user as well as someone who markets it and I know that there are a large number of users in North America. Many corporations that use Cognition use it for sensitive HR functions and so might not have their usage of it posted in a searchable format. Many other organizations use it for safety inspections, insurance data entry, and also for testing and surveys - basically anywhere you have a large number of paper forms and need all of the data quickly entered into a database. Many users are using Cognition for sensitive applications are so are not likely to share, but I can share a few I have, you could also contact your Scantron rep and they might have something they could share as well. I have some decent ICR fields built for name, e-mail, address, etc. The ICR fields are best when you build in your own dictionary or database look-ups. The OMR fields are the hard ones to build, but I have a few of these as well. The easiest way to share these is to send you the form that already has the field built into it. You can build your own lookups from txt, xls or db files.
What the latest figures are on people viewing their emails in text only mode vs. HTML?
Wikipedia and it's source both seem to reference this research from 2006 which is an eternity ago in internet terms.
An issue with combining both HTML and text based emails is taking a disproportionate amount of time to resolve given the likely number of users it is affecting.
As with web browser usage statistics, it depends entirely on the audience.
I have access to a bit of data on this subject and it seems that text-only email use is very low (for non-technical audiences, at least). <0.1% up to ~6% depending on demographic.
It's not that much effort to do both (especially if you can find something to help you do the heavy lifting when creating multipart MIME containers), and you can always write a script to generate text from your HTML or something.