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What is iFatigue?

Established in 2005, iFatigue became the first company to introduce a driver fatigue monitoring system in an open-pit mining setting by 2007. The most effective way to determine if an individual is about to fall asleep is by monitoring eye closure percentages and the perclos measurement over short intervals. A notable increase in perclos serves as a definitive indicator of the early signs of drowsiness or fatigue. By recognizing these signs promptly, it's possible to prevent accidents or other incidents caused by fatigue. iFatigue not only delivers dependable technology and high-quality products at competitive prices but also boasts extensive experience since its founding, enabling the company to offer expert advice aimed at reducing fatigue-related hazards. Moreover, the company embraces cutting-edge AI capabilities for Driver Safety Monitoring (DSM), Advanced Driver Assistance Systems (ADAS), Blind Spot Detection (BSD), and Around View Monitoring (AVM), while integrating GPS and BD dual-mode positioning features, along with 3G/4G/WIFI for live remote video surveillance. This holistic strategy underscores the commitment to maintaining safety as the utmost priority across all work environments, demonstrating the company’s dedication to innovation and reliability in enhancing operational safety.

What is VictoriaMetrics Anomaly Detection?

VictoriaMetrics Anomaly Detection is a continuous monitoring service that analyzes data within VictoriaMetrics to identify real-time unexpected variations in data patterns. This innovative solution employs customizable machine learning models to effectively pinpoint anomalies. As a vital component of our Enterprise offering, VictoriaMetrics Anomaly Detection serves as an essential resource for navigating the intricacies of system monitoring in an ever-evolving landscape. It significantly aids Site Reliability Engineers (SREs), DevOps professionals, and other teams by automating the intricate process of detecting unusual behavior in time series data. Unlike traditional threshold-based alerting systems, it leverages machine learning techniques to uncover anomalies, thereby reducing the occurrence of false positives and alleviating alert fatigue. The implementation of unified anomaly scores and streamlined alerting processes enables teams to swiftly recognize and resolve potential issues, ultimately enhancing the reliability of their systems. By adopting this advanced anomaly detection service, organizations can ensure more proactive and efficient management of their data-driven operations.

Media

Media

No images available

Integrations Supported

VictoriaMetrics Enterprise

Integrations Supported

VictoriaMetrics Enterprise

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

iFatigue

Date Founded

2005

Company Location

South Africa

Company Website

www.ifatigue.com

Company Facts

Organization Name

VictoriaMetrics

Date Founded

2018

Company Location

United States

Company Website

victoriametrics.com/products/enterprise/anomaly-detection/

Categories and Features

Categories and Features

IT Infrastructure Monitoring

Alerts / Notifications
Application Monitoring
Bandwidth Monitoring
Capacity Planning
Configuration Change Management
Data Movement Monitoring
Health Monitoring
Multi-Platform Support
Performance Monitoring
Point-in-Time Visibility
Reporting / Analytics
Virtual Machine Monitoring

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