INTRODUCING

THE NEXT GENERATION FIBER SENSING SOLUTION

ONYXTM our flagship platform now delivers a customizable, simple and cost-effective all-in-one solution for your distributed fiber-optic sensing needs.

Explore the range

ONYX™ nano
Short Range

Quantitative DAS

Integrated processor

19-inch 1U Enclosure

(W) 483 x (D) 295 x (H) 45 mm

6kg

<40W

High Sensitivity, -65 dB Rad.Hz-½ (increased sensitivity version available)

High Dynamic Range – 133dB

3 meter spatial resolution

Superior Low Frequency Response

-5º C to +50º C | 23º F to +122º F

Number of fibers: 1 or 2

AC or DC Power Supply

Multimode fiber compatibility

Cut Resilient Option

Fully Redundant Option

1 – <20km

ONYX™ peta
Standard Range

Flagship product

Quantitative DAS

Integrated processor

19-inch 3U Enclosure

(W) 483 x (D) 466 x (H) 133 mm

16.5kg

<110W

High Sensitivity, -81 dB Rad.Hz-½

High Dynamic Range – 155dB

<1 meter spatial resolution

Superior Low Frequency Response

-5º C to +50º C | 23º F to +122º F

Number of fibers: 1 or 2

AC or DC Power Supply

Multimode fiber compatibility

Flat Noise floor up to 65km

L Band Option

Sense on an active fiber

<20 – 75km (per fiber)

ONYX™ peta EX
Long Range

Quantitative DAS

Integrated processor

19-inch 3U Enclosure

(W) 483 x (D) 466 x (H) 133 mm

16.5kg

<110W

High Sensitivity, -81 dB Rad.Hz-½

High Dynamic Range – 155dB

<1 meter spatial resolution

Superior Low Frequency Response

-5º C to +50º C | 23º F to +122º F

Number of fibers: 1

AC or DC Power Supply

Multimode fiber compatibility

-61 dB Rad.Hz-½ at 150km’s

L Band Option

Sense on an active fiber

<75 – 200km (per fiber)

Small sites

Medium sites

Large sites

A step change

Field-Proven Performance

Advanced AI Algorithms 

At the core of our solution is a powerful combination of artificial intelligence and heuristic algorithms, developed and refined using over one million hours of real-world data. This robust foundation enables highly accurate detection and classification of events along critical infrastructure, dramatically reducing nuisance alarms.

These advanced algorithms deliver actionable data that supports our clients’ concepts of operations, enhances operational efficiencies, and protects high-value assets. The system provides an unparalleled, uninterrupted overview of the full asset, enabling real-time decision-making and situational awareness. By optimizing signal processing for specific activities - such as detecting digging while ignoring animals - our technology ensures that only the most relevant and critical alerts are surfaced. Powered by a continually expanding library of labelled data and state-of-the-art machine learning models, our platform offers precise, reliable, and field-proven performance.

ONYX™ enables improved signal processing. Processing splits moving and 
stationary activity.

20dB (x10) improved acoustic noise performance provides better input data into detection and classification algorithms.

Accurate classification of right of way activities. Utilising advanced signal processing techniques data is optimised for the specific activity trying to be detected e.g. digging signals.

After this AI/Machine learning algorithms are used to correctly classify the event and equally as importantly to disregard signals that could cause nuisance alarms.

This enables the the ability to correctly classify digging but not alert on animals/cattle/horses on the right of way.

Detection & Classification Algorithms
 Using Machine Learning. Detection and classification of events along an assets achieved using Machine Learning based algorithms.

Large and expanding library of labelled data use to train each iteration of ML model developed.

By May 2022, Sintela Artificial Intelligence Detection Models Included…

50 generations of detection models:

  • Fence Climbing
  • Parallel Walking
  • Perpendicular Walking
  • Digging
  • Horse
  • MicroSeismic
  • Vehicle

Field-Proven Performance

Advanced AI Algorithms 

At the core of our solution is a powerful combination of artificial intelligence and heuristic algorithms, developed and refined using over one million hours of real-world data. This robust foundation enables highly accurate detection and classification of events along critical infrastructure, dramatically reducing nuisance alarms.

These advanced algorithms deliver actionable data that supports our clients’ concepts of operations, enhances operational efficiencies, and protects high-value assets. The system provides an unparalleled, uninterrupted overview of the full asset, enabling real-time decision-making and situational awareness. By optimizing signal processing for specific activities - such as detecting digging while ignoring animals - our technology ensures that only the most relevant and critical alerts are surfaced. Powered by a continually expanding library of labelled data and state-of-the-art machine learning models, our platform offers precise, reliable, and field-proven performance.

ONYX™ enables improved signal processing. Processing splits moving and 
stationary activity.

20dB (x10) improved acoustic noise performance provides better input data into detection and classification algorithms.

Accurate classification of right of way activities. Utilising advanced signal processing techniques data is optimised for the specific activity trying to be detected e.g. digging signals.

After this AI/Machine learning algorithms are used to correctly classify the event and equally as importantly to disregard signals that could cause nuisance alarms.

This enables the the ability to correctly classify digging but not alert on animals/cattle/horses on the right of way.

Detection & Classification Algorithms
 Using Machine Learning. Detection and classification of events along an assets achieved using Machine Learning based algorithms.

Large and expanding library of labelled data use to train each iteration of ML model developed.

By May 2022, Sintela Artificial Intelligence Detection Models Included…

50 generations of detection models:

  • Fence Climbing
  • Parallel Walking
  • Perpendicular Walking
  • Digging
  • Horse
  • MicroSeismic
  • Vehicle

Field-Proven Performance

Advanced AI Algorithms 

At the core of our solution is a powerful combination of artificial intelligence and heuristic algorithms, developed and refined using over one million hours of real-world data. This robust foundation enables highly accurate detection and classification of events along critical infrastructure, dramatically reducing nuisance alarms.

These advanced algorithms deliver actionable data that supports our clients’ concepts of operations, enhances operational efficiencies, and protects high-value assets. The system provides an unparalleled, uninterrupted overview of the full asset, enabling real-time decision-making and situational awareness. By optimizing signal processing for specific activities - such as detecting digging while ignoring animals - our technology ensures that only the most relevant and critical alerts are surfaced. Powered by a continually expanding library of labelled data and state-of-the-art machine learning models, our platform offers precise, reliable, and field-proven performance.

ONYX™ enables improved signal processing. Processing splits moving and 
stationary activity.

20dB (x10) improved acoustic noise performance provides better input data into detection and classification algorithms.

Accurate classification of right of way activities. Utilising advanced signal processing techniques data is optimised for the specific activity trying to be detected e.g. digging signals.

After this AI/Machine learning algorithms are used to correctly classify the event and equally as importantly to disregard signals that could cause nuisance alarms.

This enables the the ability to correctly classify digging but not alert on animals/cattle/horses on the right of way.

Detection & Classification Algorithms
 Using Machine Learning. Detection and classification of events along an assets achieved using Machine Learning based algorithms.

Large and expanding library of labelled data use to train each iteration of ML model developed.

By May 2022, Sintela Artificial Intelligence Detection Models Included…

50 generations of detection models:

  • Fence Climbing
  • Parallel Walking
  • Perpendicular Walking
  • Digging
  • Horse
  • MicroSeismic
  • Vehicle

Field-Proven Performance

Advanced AI Algorithms 

At the core of our solution is a powerful combination of artificial intelligence and heuristic algorithms, developed and refined using over one million hours of real-world data. This robust foundation enables highly accurate detection and classification of events along critical infrastructure, dramatically reducing nuisance alarms.

These advanced algorithms deliver actionable data that supports our clients’ concepts of operations, enhances operational efficiencies, and protects high-value assets. The system provides an unparalleled, uninterrupted overview of the full asset, enabling real-time decision-making and situational awareness. By optimizing signal processing for specific activities - such as detecting digging while ignoring animals - our technology ensures that only the most relevant and critical alerts are surfaced. Powered by a continually expanding library of labelled data and state-of-the-art machine learning models, our platform offers precise, reliable, and field-proven performance.

ONYX™ enables improved signal processing. Processing splits moving and 
stationary activity.

20dB (x10) improved acoustic noise performance provides better input data into detection and classification algorithms.

Accurate classification of right of way activities. Utilising advanced signal processing techniques data is optimised for the specific activity trying to be detected e.g. digging signals.

After this AI/Machine learning algorithms are used to correctly classify the event and equally as importantly to disregard signals that could cause nuisance alarms.

This enables the the ability to correctly classify digging but not alert on animals/cattle/horses on the right of way.

Detection & Classification Algorithms
 Using Machine Learning. Detection and classification of events along an assets achieved using Machine Learning based algorithms.

Large and expanding library of labelled data use to train each iteration of ML model developed.

By May 2022, Sintela Artificial Intelligence Detection Models Included…

50 generations of detection models:

  • Fence Climbing
  • Parallel Walking
  • Perpendicular Walking
  • Digging
  • Horse
  • MicroSeismic
  • Vehicle

Designed for industry

Software

Operating System Software (OSS)

Powering precision, enabling integration — the intelligent core of the Onyx Sensing Unit

The OSS is responsible for the core firmware and software that controls the Onyx Sensing Unit (OSU). It manages real-time system operations, signal acquisition, data processing, and diagnostics. The software ensures the generation of high-quality, reliable data and supports seamless integration with third-party systems through robust, standards-based interfaces such as REST APIs, Modbus, and SNMP. Designed for performance and flexibility, the OSS enables efficient system configuration, monitoring, and remote management.

Full software control

Fully automated and optimized for each deployment with software defined acquisition sensing parameters such as pulse width, gauge length, sample rate and decimation factor.

Industry leading algorithms

Application specific detection and classification algorithms pre-loaded with hours of learning providing unrivalled levels of detection with low rates of nuisance alarm call outs.

Web based user Interface

Each ONYX™ unit incorporates its own web server providing the user with remote access from any browser on a secure intranet / internet connection. Full SAML integration for seamless integration into your organizations single source login. 

Distributed architecture

ONYX™ has been designed around a fully distributed architecture eliminating single points-of-failure in multi-system networked deployments. 

Auto setup with fiber monitoring

An automated installation process simplifies the setup, commissioning and testing stages of the ONYX™ implementation. 

Open architecture

ONYX™ is an open system meaning that a customer can load and operate their own software upon the ONYX™ hardware if they prefer. 

Software

Industry Application Software (IAS)

From data to decisions — custom interfaces that speak your operational language.

Application-Specific Software & User Interfaces

Sintela develops tailored software and bespoke user interfaces layered on top of the Operating System Software (OSS). These interfaces are designed to present acquired data in clear, actionable formats that align with each user’s operational needs and concept of operations. The result is intuitive, application-specific visualisation that ensures critical insights are easy to understand and immediately usable—enabling faster, more effective decision-making.

A step change

Representing the next step in the evolution of Distributed Fiber Sensing, ONYX™ converts existing telecommunications fiber optic cable into a rich vibration, detection and ranging system.

By harnessing the power of quantitative data it accurately classifies and geolocates all moving objects and potential threats within 6 metres both in real time and historically, putting you in control to respond appropriately.

Developed by Sintela’s global experts in Distributed Fiber Optic Sensing ONYX™ significantly improves performance and provides a future proof solution that can stand alone, integrate or be embedded into existing telecommunication and fiber systems.

Features

Quantitative measurements | ONYX™ is a fully coherent, phase-based DAS system which enables the use of sophisticated event classification algorithms to achieve a low nuisance alarm rate.

Standard 100km range | Two 50km fibers can be simultaneously monitored from a single ONYX™. Longer ranges are also available.

Industry leading sensitivity | Capable of resolving an axial strain of 1.5 pico-strain using standard single-mode optical fiber.

Integrated compact design | All the optical sensing components, electronics and processing hardware have been incorporated into one compact unit.

Small form factor | Using only 3U of rack space and weighing less than 17kg, ONYX™ is easy to transport and once installed has a small footprint.

Low power requirement | ONYX™ operates on just 100W, enabling it to be powered from utility power or from harvested energy supplies.

Laser safe | ONYX™ uses a Class 1 laser making it eye safe and inherently safe to use.

Trigger input and GNSS time synchronisation | ONYX™ accepts external triggers and can synchronise its clock to the Global Navigation Satellite System (GNSS) reference to ensure that highly accurate time stamped data is acquired and recorded.

Full software control | All the acquisition sensing parameters such as pulse width, gauge length, sample rate and decimation factor are software defined and can be quickly and easier changed to enable the optimum settings use in each deployment.

Industry leading algorithms | Based upon many decades worth of combined experience the Sintela team have developed a suite of application specific, detection and classification algorithms providing unrivalled levels of detection with low rates of nuisance alarm.

Web based user Interface | Each ONYX™ incorporates its own web server providing the user with remote web access to a modern user interface from any web browser on a secure intranet / internet connection.

Distributed architecture | ONYX™ has been designed around a fully distributed architecture eliminating single points-of-failure in multisystem networked deployments.

Automatic setup with fiber monitoring | An automated installation process simplifies the setup, commissioning and testing stages of the ONYX™ implementation.

Open architecture | ONYX™ is an open system meaning that a customer can load and operate their own software upon the ONYX™ hardware if they prefer.

Cyber Security | ONYX™ Sensing Unit are compliant with and tested against the Center for Internet Security (CIS) Benchmarks for cyber security vulnerability.

Reliability | Calculated using Telcordia SR-332, the predicted Mean Time Before Failure (MBTF) of ONYX™ is 15 years.


Conformance | ONYX™ conforms with FCC, CE, and RoHS standards

Sintela Case Studies

Explore our case studies below to see how Sintela could improve your business

For more information

Discuss your bespoke sensor requirements with us today

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Stay informed about market updates, product development news, upcoming events as well as our latest insights.

ISO 9001 CERTIFIED
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