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PhotoDNA is a proprietary image-identification and content filtering technology [1] ... which requires a database of known hashes, with Google's AI-based technology ...
Automated species identification is a method of making the expertise of taxonomists available to ecologists, parataxonomists and others via digital technology and artificial intelligence. Today, most automated identification systems rely on images depicting the species for the identification. [1]
Lens can also use images to identify text and can find results from Google Search or translate the text with Google Translate in augmented reality. [9] Lens is also integrated with the Google Photos and Google Assistant apps. [5] The service originally launched as Google Goggles, a previous app that functioned similarly but with less capability.
AIDC is also commonly referred to as "Automatic Identification", "Auto-ID" and "Automatic Data Capture". [2] AIDC is the process or means of obtaining external data, particularly through the analysis of images, sounds, or videos. To capture data, a transducer is employed which converts the actual image or a sound into a digital file. The file ...
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Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
The app was created by the team led by Alexey Moiseenkov who also founded the Prisma Labs, based in Sunnyvale, California. [13] Moiseenkov previously worked at Mail.Ru and later resigned from his job to dedicate his time to the development of the app. [14] He has said that the development of the app took one and a half months and the team did not do anything to promote the app. [15]
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