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What is SeeMyMachines?

Deploy this industrial IoT system in your manufacturing facility, healthcare center, or similar establishment. Remain updated on the status of asset tracking and maintenance management. Prevent unforeseen production halts by monitoring machine conditions closely. Evaluate both current and historical data to assess equipment deterioration, facilitating timely maintenance actions. Track the positioning of medical devices while also supervising the movements of staff and patients. As an effective real-time location system, SeeMyMachines improves the management of mobile assets, thereby enhancing operational productivity within large healthcare environments. Furthermore, it allows you to remotely supervise turbines and solar panels across multiple energy production sites. Move towards a paperless inspection process and apply remote asset oversight to refine maintenance protocols and boost the performance of power facilities. In busy airports, monitor everything from tools to people through a connected ecosystem of devices and personnel. With a consolidated platform, you can oversee asset tracking, temperature regulation, staff locations, and much more. This cohesive strategy guarantees efficient operations across a variety of scenarios, ultimately leading to improved service delivery and operational effectiveness.

What is ARGUS Smart Vibration Analyzer?

The ARGUS Tri-axial wireless vibration analyzer presents a groundbreaking solution for predictive maintenance, enabling the evaluation of motor health alongside other connected machinery like pumps, fans, and compressors. This instrument is designed for efficient condition monitoring of rotary equipment, allowing for the early detection of faults that could lead to equipment failures, thereby reducing maintenance costs and extending the life of assets significantly. Its compact design, along with an IP65 rating, ensures reliable data collection for continuous monitoring and remote diagnostics. Capable of measuring vibrations across three axes simultaneously, it operates effectively as both a Single-axial and Tri-axial sensor. Users can effortlessly access and archive RMS values for Velocity and Acceleration, in addition to Time waveforms and FFT spectrums for both metrics, all via the specialized ARGUS app on their smartphones. The device also boasts versatile mounting options—magnet, adhesive, or stud—allowing for straightforward installation in a variety of settings. Ultimately, the ARGUS Tri-axial analyzer is an indispensable tool for anyone focused on preserving peak equipment performance and reliability.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

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

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

QBurst

Date Founded

2004

Company Location

India

Company Website

seemymachines.com

Company Facts

Organization Name

Signals & Systems (India) Pvt Ltd

Date Founded

1995

Company Location

India

Company Website

www.sandsindia.com

Categories and Features

Asset Tracking

Activity Tracking
Audit Trails
Depreciation Tracking
Disposal Tracking
Inventory Management
QR Codes
Service History

Condition Monitoring

Not specified

Equipment Maintenance

Customer Database
Dispatch Management
Equipment Tracking
Inventory Control
Maintenance Scheduling
Work Order Management

Industrial IoT

Not specified

Machine Monitoring

Not specified

Categories and Features

Condition Monitoring

Not specified

Equipment Maintenance

Not specified

Machine Monitoring

Not specified

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