Website Uptime Monitor

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brainwaverecognition.net

Uptime & Server Information

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Current Status

Status
Active
Server Type
Apache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips PHP/5.4.16 mod_wsgi/3.4 Python/2.7.5
Page Title
Recognition Technologies, Inc. Speaker Recognition
Meta Description
Recognition Technologies, Inc., established in 2003 and located in White Plains, New York, is a biometrics research organization which is involved in research and development in different areas of biometrics including Speaker Recognition (Identification and Verification), Signature Verification, Speech Recognition and Handwriting Recognition (Identification and Verification). Recognition Technologies has had a Text-Independent and Language-Independent Speaker Recognition engine in use by its clients since 2007, capable of doing Speaker Verification, Identification, Segmentation, Classification, Tracking and Detection. The RecoMadeEasy (R) speaker recognition engine won the prestigious 2011 Frost & Sullivan New Product Innovation Award. This engine is capable of doing real-time open-set speaker identification (the most challenging speaker recognition problem) for very large populations and to provide blacklisting support. Also, since 2003, the company has had an Interactive Voice Response (IVR) engine which requires no extra coding and works through a configuration files at the design stage of the IVR. These and other engines, such as face recognition and detection are available for a variety of Linux operating systems as well as Windows and MacOS, and are marketed under the brand, RecoMadeEasy (R). Recognition Technologies, Inc. is also involved in research and development in automatic language proficiency rating and distance learning techniques using speech. Current development is for Linux and the Apple operating systems in C++.
Meta Keywords
Biometric, Biometrics, Speech Biometrics, Speech Biometric, Interactive Voice Response System, IVR System, IVR, Telephony, Voice Over IP, Database Access, Speaker Recognition, Speaker Identification, Speaker Verification, Signature Verification, Face Recognition, Face Detection, Handwriting Recognition, Optimization, Optimisation, Learning Control, Adaptive Control, Music Recognition, Language Modeling, Image Compression, Fundamentals of Speaker Recognition
Most Recent Data
0 hours, 0 minutes ago

Historical Data

DateStatusServer
7/27/2026, 8:55:14 PMActiveApache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips PHP/5.4.16 mod_wsgi/3.4 Python/2.7.5
7/14/2026, 7:38:36 PMActiveApache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips PHP/5.4.16 mod_wsgi/3.4 Python/2.7.5
7/4/2026, 3:35:37 AMActiveApache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips PHP/5.4.16 mod_wsgi/3.4 Python/2.7.5
3/2/2026, 3:35:23 AMActiveApache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips PHP/5.4.16 mod_wsgi/3.4 Python/2.7.5
1/26/2026, 7:09:51 PMActiveApache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips PHP/5.4.16 mod_wsgi/3.4 Python/2.7.5
11/15/2025, 12:56:16 PMActiveApache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips PHP/5.4.16 mod_wsgi/3.4 Python/2.7.5
10/5/2025, 12:34:26 PMActiveApache/2.4.6 (CentOS) OpenSSL/1.0.2k-fips PHP/5.4.16 mod_wsgi/3.4 Python/2.7.5

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About Website Uptime Monitoring

Use the Who.is uptime information to track the availability and server information of websites. This helps track:

  • Website availability and response status
  • Server software and configuration
  • Meta information including titles and descriptions
  • Historical uptime patterns

This information is valuable for website owners, system administrators, and anyone interested in monitoring website reliability and performance.

Metrics we monitor

  • Uptime percentage: The percentage of time your website is accessible
  • Response time: How quickly your server responds to requests
  • Status codes: HTTP response codes indicating server status

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