Перевод и анализ слов искусственным интеллектом ChatGPT
На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:
- как употребляется слово
- частота употребления
- используется оно чаще в устной или письменной речи
- варианты перевода слова
- примеры употребления (несколько фраз с переводом)
- этимология
direct color scanner with Text Recognition System - перевод на русский
color="gray">общая лексика
распознавание речи
идентификация компьютером слов, произнесенных человеком
опознавание речи
color="gray">синоним
![Method used for exploiting contextual information in the first [[handwritten address interpretation]] system developed by [[Sargur Srihari]] and Jonathan Hull<ref name="Integration of handwritten recognition" />](https://commons.wikimedia.org/wiki/Special:FilePath/Address Recognition.png?width=200 "Method used for exploiting contextual information in the first [[handwritten address interpretation]] system developed by [[Sargur Srihari]] and Jonathan Hull<ref name=\"Integration of handwritten recognition\" />")
color="gray">общая лексика
распознавание рукописного текста
активно развивающаяся область ПО. Используется в PDA
color="gray">Смотрите также
color="gray">общая лексика
STT
преобразование речи в текст, синтез речи color="gray">[по тексту]
технология распознавания речи, позволяющая преобразовать произнесенные слова в текст. Применяется в системах речевого ввода текста
color="gray">общая лексика
речевая команда
команда, подаваемая компьютерной системе голосом
color="gray">Смотрите также
![Disney's [[Magic Kingdom]], near [[Orlando, Florida]], during a trial of a facial recognition technology for park entry](https://commons.wikimedia.org/wiki/Special:FilePath/Disney Facial Recognition 20 April 2021.jpg?width=200 "Disney's [[Magic Kingdom]], near [[Orlando, Florida]], during a trial of a facial recognition technology for park entry")
![Boarding gates with facial recognition technology at [[Beijing West railway station]]](https://commons.wikimedia.org/wiki/Special:FilePath/Entrance faregates at waiting room 10 of Beijing West Railway Station (20190908184801).jpg?width=200 "Boarding gates with facial recognition technology at [[Beijing West railway station]]")
![Automatic face detection with [[OpenCV]]](https://commons.wikimedia.org/wiki/Special:FilePath/Face detection.jpg?width=200 "Automatic face detection with [[OpenCV]]")
![Flight boarding gate with "biometric face scanners" developed by [[U.S. Customs and Border Protection]] at [[Hartsfield–Jackson Atlanta International Airport]]](https://commons.wikimedia.org/wiki/Special:FilePath/Facial recognition technology at gate (44275734970).jpg?width=200 "Flight boarding gate with \"biometric face scanners\" developed by [[U.S. Customs and Border Protection]] at [[Hartsfield–Jackson Atlanta International Airport]]")
![The Viola–Jones algorithm for face detection uses [[Haar-like feature]]s to locate faces in an image. Here a Haar feature that looks similar to the bridge of the nose is applied onto the face.](https://commons.wikimedia.org/wiki/Special:FilePath/Haar Feature that looks similar to the bridge of the nose is applied onto the face.jpg?width=200 "The Viola–Jones algorithm for face detection uses [[Haar-like feature]]s to locate faces in an image. Here a Haar feature that looks similar to the bridge of the nose is applied onto the face.")
![pseudocolor]] image of two people taken in long-wavelength infrared (body-temperature thermal) light](https://commons.wikimedia.org/wiki/Special:FilePath/Ir girl.png?width=200 "pseudocolor]] image of two people taken in long-wavelength infrared (body-temperature thermal) light")
![In this [[shear mapping]] the red arrow changes direction, but the blue arrow does not and is used as eigenvector.](https://commons.wikimedia.org/wiki/Special:FilePath/Mona Lisa eigenvector grid.png?width=200 "In this [[shear mapping]] the red arrow changes direction, but the blue arrow does not and is used as eigenvector.")
color="gray">общая лексика
распознавание лиц
один из способов биометрической идентификации личности - способность компьютерной системы распознавать людей по изображению лица. Такая система должна различать личность независимо от цвета загара, изменения причёски и т.п.
color="gray">Смотрите также
![Copyright Law]] to scan a book by a third party who is not a copyright holder or a book owner. Therefore, in South Korea, book owners visit 'Scan Room' to scan books by themselves.](https://commons.wikimedia.org/wiki/Special:FilePath/2020-03-27 16.38.23 Scan Room in South Korea.jpg?width=200 "Copyright Law]] to scan a book by a third party who is not a copyright holder or a book owner. Therefore, in South Korea, book owners visit 'Scan Room' to scan books by themselves.")
![Belinograph]] BEP2V wirephoto machine by Edouard Bélin, 1930](https://commons.wikimedia.org/wiki/Special:FilePath/Belinograph BEP-2V - MfK Bern.jpg?width=200 "Belinograph]] BEP2V wirephoto machine by Edouard Bélin, 1930")
![Detroit News]]'' in the early 1990s.](https://commons.wikimedia.org/wiki/Special:FilePath/Photoshop goddess version 1.05 (3378276180).jpg?width=200 "Detroit News]]'' in the early 1990s.")
![sceyeX document camera.](https://commons.wikimedia.org/wiki/Special:FilePath/SilverCreations - model "sceyeX" 10MP Document Scanner 03-2013.jpg?width=200 "sceyeX document camera.")
color="gray">общая лексика
барабанный сканер
сканер, в котором оригинал сканируемого изображения крепится к цилиндру из плексигласа. Во время сканирования барабан вращается с очень высокой скоростью
color="gray">Смотрите также
Википедия
The coastal zone color scanner (CZCS) was a multi-channel scanning radiometer aboard the Nimbus 7 satellite, predominately designed for water remote sensing. Nimbus 7 was launched 24 October 1978, and CZCS became operational on 2 November 1978. It was only designed to operate for one year (as a proof-of-concept), but in fact remained in service until 22 June 1986. Its operation on board the Nimbus 7 was limited to alternate days as it shared its power with the passive microwave scanning multichannel microwave radiometer.
CZCS measured reflected solar energy in six channels, at a resolution of 800 meters. These measurements were used to map chlorophyll concentration in water, sediment distribution, salinity, and the temperature of coastal waters and ocean currents. CZCS lay the foundations for subsequent satellite ocean color sensors, and formed a cornerstone for international efforts to understand the ocean's role in the carbon cycle.
