Coinoscope: Identify coin by image 1.9.1 Apk Pro latest is a Books & Reference Android app
Coinoscope: Identify coin by image is a Books & Reference Android app made by Miccron with a lot of interesting features that make it one of the best !
Coinoscope makes coin identification easy – just snap a picture of a coin with your phone camera and the app will show you a list of similar coins. Click on the coin to see additional information in the web browser of your phone. Save search results and build your photo collection of coins. A must-have tool for every coin collector and numismatist!
Coinoscope uses artificial intelligence techniques to rate similarity of coins.
– Center a coin before taking a picture
– Tap on the image to focus
– Use the zoom slider to increase/decrease the size of the image
– If no similar coins are found, try to obtain a sharper image by using zoom and focus, change lighting conditions, or angle of the phone camera.
– Scroll the list to view images and descriptions of coins
– Tap on the image or description to view additional information in the web browser of your phone
– Press the back button to return to the app from the web browser
– Press the photo icon or arrow icon to return to the main screen
– Enter optional note, one or more tags (#) and press «Save» to store search results
– Long-click to copy a description from the list to note field
– Press «Find similar» to search for similar coins
My Collection screen:
– Choose tab «All» for a chronological list of coins or tab «# Tagged» for coins with tags
– Scroll the list to view images and descriptions of saved search results
– Click to edit saved search result
– Long-click to delete saved search result
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– Coinoscope mobile application uses a phone camera to capture images of coins.
– To perform similarity search images of coins are uploaded and stored on the Coinoscope server.
– Coinoscope will not share uploaded images with any third parties.
– The images of uploaded coins might be used to improve the search engine.
– Search history
– Spanish localization