General Info
Real-time biometric face recognition and pedestrian/vehicle tracking SDK for surveillance systems and networks. Supports up to 10 cameras on one PC. Automatic identification against watch list, gender/emotions detection. See: youtu.be/Jpt5jE5rwCQ
Price: 891 USD (Buy Now)
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Publisher: Neurotechnology
OS Support: Win2000, Win2003, Win7 x32, Win7 x64, Windows 8, WinOther, WinServer, WinVista, WinVista x64, WinXP
License: Shareware
Date added: 02 Jul 2019
Last Update: 13 Jun 2019
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Screenshots of SentiVeillance SDK Trial
SentiVeillance SDK Trial Publisher's description
Real-time biometric face recognition and pedestrian/vehicle tracking SDK for surveillance systems and networks. Supports up to 10 cameras on one PC. Automatic identification against watch list, gender/emotions detection. See: youtu.be/Jpt5jE5rwCQ
Real-time biometric facial recognition and pedestrian or vehicle tracking in live video streams. Supports up to 10 IP cameras on one PC.
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, enrollment and identification.
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.
See also demo video at
Changes on the new version:New improved vehicle-human and automatic license plate recognition algorithms.
Implemented region of interest property for video sources, allowing to specify where to detect vehicles, humans and license plates.
Added C++ tutorials.
Multiple minor improvements and bug fixes in the SDK and samples.
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