SENTISIGHT SDK DOWNLOAD FREE
Based on reliable PC-based face recognition technology which ensure high reliability of the face identification, 1: Webcam capable - Supports input from surveillance cameras, webcams and image files. Neurotechnology's SentiSight is intended for developers who want to use computer vision-based object recognition in their applications. In , to better accommodate the growing volumes of research in artificial intelligence, the company founded its robotics division that began research in the field of mobile autonomous robots. The first application of neural networks alone resulted in an improvement of the accuracy of unconstrained face recognition by a factor of 15 times! Interactive statistics — information about the model's performance is produced after the training process.
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Constant internet connection required during evaluation. Can be used in robotics for machine vision-based navigation and manipulation.
SentiSight.ai Cloud-based Image Recognition Service
As deep learning techniques kept proliferating other areas, we were ultimately able to employ our face recognition algorithms under the conditions of real-time surveillance. Flexible licensing model and competitive price. SentiSight is available as SentiSight 2.

InNeurotechnology released SentiBotics — a ready-to-use robotics development kit. Once we conceived the benefits of fusing several biometric modalities, we directed our efforts towards building a multi-biometric product. This enables SentiSight to develop a 2-D or 3-D object model that can be stored in a database.
senyisight
Neurotechnology was started with the key idea of using neural networks for various applications such as biometric sdntisight identification, computer vision, robotics, and artificial intelligence. Fast - Process video streams in real time, so it can be used for real-time applications.
With millions of customer installations worldwide, our products are used for both civil and forensic applications, seentisight border crossings, criminal investigations, systems for voter registration, verification and duplication checking, passport issuance and other national-scale projects.
JUNE 27, Humans have a natural ability to learn and recognize objects, even when the objects are presented in different environments, scales, rotations, and poses. Can be used in law enforcement, security, attendance control, visitor counting, Right from the date of its release inour MegaMatcher SDK gained acceptance as a key solution in large and national-scale projects related to issuance of passports, de-duplication of voters, etc.
See also demo video at http: Includes MS Windows library for simultaneous capture from multiple cameras, documentation and In the area of face recognition, the last few years witnessed a dramatic reduction in error rates brought by srk algorithms that are based on convolutional neural networks CNN.
SentiSight can be easily integrated into a customer's system. Based on reliable fingerprint recognition technology with matching speed up to 40, fingerprints per second. The initial version sd support recognition of fingerprints and faces; the modalities for iris and voice recognition were added later.
SentiSight
The first application of neural networks alone resulted in an improvement of the accuracy of unconstrained face recognition by a factor of 15 times! This was followed by zdk algorithm for iris recognition released in TKH Group now owns companies that cover a bevy of machine vision camera technologies.
These transducers were developed primarily for use in parametric array systems. We carried out a number of similar projects in other countries, too.
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For instance, they are used in SentiSight. NPointer Freeware app for Windows. Supports up to 10 IP cameras on one PC. For these applications a computer system or robot with object-recognition capabilities is used in conjunction with a camera or other visual input device. We expect further improvements in face recognition performance due to explosive development of architectures and techniques related to CNNs.

In this case our experts will take care of the model's setup and training. An intuitive interface makes labeling faster and easier. In addition, we edk an on-going research program on voice recognition since SentiSight object recognition technology is tolerant to object scale, rotation and can process video streams in real time, enabling its use in autonomous robot navigation, parts identification on an assembly line or road sign recognition in a moving vehicle.
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For instance, our customers in Bangladesh used the technology for de-duplication of the voters in the election.
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