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ПлатформаЛицензияЧлен ASP
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SentiVeillance SDK Trial 8.0.2021.11.25
Компания: Neurotechnology
Страна: Lithuania, Vilnius county, Vilnius
Член ASP: Нет
Web сайт компании: http://neurotechnology.com/
Сайт программы: http://www.neurotechnology.com/
О приложении: http://www.neurotechnology.com/sentiveillance.html

Автор: Sergey I

Email продаж: demo_appvizor@neurotechnology.com
Email техподдержки: demo_appvizor@neurotechnology.com

Тип лицензии: Условно-бесплатная
Класс: Development::Components & Libraries
Специфика:
Категории: Programming :: Components and Libraries, Programming :: .NET, Programming :: Java, Programming :: C & C++ & C#
Платформа: Windows
ОС: Win2000, WinXP, Win7 x32, Win7 x64, Windows 8, Windows 10, WinServer, WinOther, WinVista, WinVista x64
Системные требования: 3GHz 64-bit processor or better, 8 GB of RAM. Optionally 1+ MegaPixel camera, GPU (GeForce GTX 1080)
Язык: English
Ограничения: Full functionality for 30-day trial period

  
Ключевые слова: surveillance, face, identification, recognition, software, DLL, SDK, development, kit, library, trial, demo, multiple, windows, linux, CCTV

Real-time biometric facial recognition and pedestrian or vehicle tracking in live video streams. Available as SDK (software developing kit) for technology integration into small and large surveillance systems.

The proprietary technology provides automatic operation with multiple face detection, tracking, persons' gender determination, mask wearing detection, enrollment and identification. Vehicle make and model estimation. Vehicle orientation angle estimation. Automatic license plate (number plate) recognition (ALPR/ANPR). Cloth and gender estimations for pedestrians, including face mask and partial or full nudidity detection.

Can be used in law enforcement, security, attendance control, visitor counting, traffic monitoring solutions.
Some applications may require to enroll the users in advance (such as list of employees or watch-list of unwanted persons or suspect criminals), whereas other just work on the general public passing by (i.e. detect if passers-by draw attention to certain ads or billboards).

The SDK allows to create networked applications and systems with multiple cameras and data processing nodes on Windows and Linux platforms.
Includes programming samples in Java, .NET, C, as well as all necessary components (the biometric technology, camera support, network synchronization).

The trial requires constant Internet connection.
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 3   
3367.18 МБ

~865.00$
~828.97€
~86164.81₽
ДатаВерсияСтатусИстория выпусков
25.11.20218.0.2021.11.25Major UpdateAlgorithms-related changes:
Clothing details now also determines clothes by body parts: headwear, torso, arms, legs, feet.
Improved vehicle model prediction.

New features:
New Java sample: surveillance-sample.

Fixes:
Fixed a number of minor bugs, crashes and issues.
12.05.20218.0.2021-05-12Major UpdateNew features:
surveillance-images-sample - a new Java sample.
SurveillanceImagesSampleWX - a new C++ sample.
Added an API for easy selection of the best frame.
Added an API for retrieving subject information for all tracked frames.
Other improvements and bug fixes.
12.05.20218.0.20210512Major UpdateAPI for easy selection of the best frame added.
API for retrieving subject information for all tracked frames added.
New Java sample: surveillance-images-sample.
New C++ sample: SurveillanceImagesSampleWX.
Fixed a number of bugs and issues.
Multiple minor improvements.
18.01.20218.0Major UpdateNew face detection and recognition of people who are wearing masks.
New algorithms that improve license plate detection and recognition speed and accuracy.
Vehicle make and model estimation.
Vehicle orientation angle estimation.
Cloth and gender estimations for pedestrians.
30.11.20207.3.2020.11.30Major UpdateFixed face medium template compatibility with MegaMatcher Accelerator.
Improved SurveillaceFacesThermalSampleCS.
Reduced GPU memory consumption for faces modality.
16.09.20207.3.2020.09.16Major UpdateFixed issues with event time stamps when reading from video file.
Fixed a number of licensing-related bugs and issues.
Fixed issues with diagnostic report.
02.03.20207.3.2020.03.02Major UpdateImproved License plate recognition (ALPR) algorithms.
Fixed a number of bugs and issues.
Lots of improvements to SDK and samples.
02.03.20207.3.20200302Major UpdateImproved License plate recognition (ALPR) algorithms.
Fixed a number of bugs and issues.
Lots of improvements to SDK and samples.
11.12.20197.3Major UpdateImproved Vehicle-Human and License plate recognition algorithms
Added functionality to use still images with Vehicle-Human and License plate recognition modes
Added SurveillanceImagesSampleCS and DetectFromImage tutorials
Fixed licensing related issues
Multiple GPUs (up to 8) now supported
Разрешения на распространение:

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