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However, you always need an in focus image, and reasonably bright lighting. For devices with auto focus i. In single card mode if multiple cards are present recognition fails, you need exactly one card. In the other modes the results are grouped to achieve a consensus, which is why it takes one or two seconds for a recognition result. No other system that I know of can perform multi-card recognition as accurately and quickly. For lower end devices recognition will work well in single card mode, but fewer cards are recognized successfully in multiple card mode. In raw mode recognized cards are shown without filtering and in real-time. But even for low end devices including those with no auto focus recognition works well in single card mode. Most card recognition systems i. So both must be visible before the card is recognized in single card mode, but only one is required for recognition in multiple card mode. So as long as the suit and number are visible recognition will occur successfully; the rest of the card can be occluded. The current mode is shown in the action bar text. You can also tilt the cards slightly to see if that improves results. Once recognition occurs the recognized cards are displayed and sometimes spoken. If you do not own a set of Bicycle playing cards print the page and try recognition of the hands. If recognition fails for all cards then try setting the ISO if it is in the settings to the highest possible value, instead of the default automatic. When you start recognition the camera focuses if possible , so if recognition fails you should touch the screen to stop, and then touch again to restart recognition to be sure you have an in focus image. The app is real time in the sense that it is recognizing a number of times a second, as shown in raw mode. I believe this is the best card recognition system for something like Google glass where you are looking at the cards in someone's hands. You stay in recognition mode until you touch the screen again to return to idle mode. There are five modes that can be chosen in the settings; multiple, single, update, pre-flop and raw. In the long run I will integrate this app with different card games. Skip to 1 minute, 23 seconds of the video below and you will see successful recognition of cards in the typical "fan" shape used in card games. the Blackjack counting detection systems look for the card outline. Nexus line recognition works well even for a large number of cards. I also perform standard blackjack card counting can force display of count in the settings to demonstrate another card application. In single card mode we look for the same card number and suit in both the top and bottom of the card. A simple integration is pre-flop mode where we show the percentage odds for the first two cards in hold em poker. In other modes once recognition occurs no further cards will be recognized unless you restart the recognition process. pdf has some example hands. In multiple card mode if the bottom of a card is visible that card is still only recognized once.

Google 翻訳で説明を日本語 日本 に翻訳する説明を英語 アメリカ合衆国 に戻す 翻訳 CardRecog is an app that recognizes playing cards from a standard deck. In raw mode the unfiltered results are shown and you do not need to repeatedly restart recognition.

I welcome any comments, but remember this is not a final product, it is a technology demo.

The second way is to touch the screen to stop recognition and go to idle, and touch the screen again to start recognition. In my method I do not require the outline of the cards, instead I only look at the card number and the associated suit. You touch the screen to start recognition, hold the camera still, put some cards in front, and wait.