DS-Track

Next-Gen Smart Sensor for Predictive Maintenance

DS-Track is an Edge AI-powered sensor that monitors vibration, temperature, and structural stress in real time—detecting failures before they happen. It integrates seamlessly into any system with plug-and-play simplicity, offering scalable compatibility across railways, turbines, and industrial operations.

DS-Track

Next-Gen Smart Sensor
for Predictive Maintenance

DS-Track is an Edge AI-powered sensor that monitors vibration, temperature, and structural stress in real time—detecting failures before they happen. It integrates seamlessly into any system with plug-and-play simplicity, offering scalable compatibility across railways, turbines, and industrial operations.

Next-Gen Smart Sensor

DS-Track is an Edge AI-powered smart sensor that analyzes critical parameters like vibration, temperature, and pressure in real time. Built for demanding industrial environments, it identifies early fault signatures to minimize downtime and optimize maintenance operations.

Thermal Awareness

Built-in sensor for real-time thermal tracking from

-45°C

+120°C

Up to

± 1000 gE

High-G MEMS Accuracy

High Speed Processor

Neural Engine to enable AI features.

Smart Connectivity

Supports RS485 for industrial comms, CANbus in control loops, Wi-Fi for wireless connectivity, and LoRaWAN or mesh for scalable remote systems.pendency.

Up to

5 0 .000 HZ+

Ultra-high sampling rate

Up to Up to24 Month Battery life.

or Direct electrical supply

DS-Intelligence

AI at the Edge

< 1 ms

Real-time anomaly detection with <1ms latency — no cloud dependency.

Signal Clarity

Antegrated FFT, Hilbert Transform, and Envelope Detection for smart failure isolation.

One Sensor Many Sectors

From railway and industrial manufacturing to marine systems and renewable energy

Next-Gen Smart Sensor

DS-Track is an Edge AI-powered smart sensor that analyzes critical parameters like vibration, temperature, and pressure in real time. Built for demanding industrial environments, it identifies early fault signatures to minimize downtime and optimize maintenance operations.

Thermal Awareness

Built-in sensor for real-time thermal tracking from

-45°C

+120°C

Up to

± 1000 gE

Smart Connectivity

Supports RS485 for industrial comms, CANbus in control loops, Wi-Fi for wireless connectivity, and LoRaWAN or mesh for scalable remote systems.pendency.

AI at the Edge

< 1 ms

Real-time anomaly detection with <1ms latency — no cloud dependency.

Up to

5 0 .000 HZ+

Ultra-high sampling rate

High Speed Processor

Neural Engine to enable AI features.

Up to Up to24 Month Battery life.

or Direct electrical supply

DS-Intelligence

One Sensor Many Sectors

From railway and industrial manufacturing to marine systems and renewable energy

Signal Clarity

Antegrated FFT, Hilbert Transform, and Envelope Detection for smart failure isolation.

Detectable Fault Types
with DS-Track

Detectable Fault Types
with DS-Track

We solve your business
Problem with tech

We solve your business
Problem with tech

Creating a very beautiful website design in accordance with the fundamental user
experience which is examined more deeply by the UX Designers that we have.

Real-Time Monitoring

Instant data collection for proactive maintenance

Machine Benchmarking

Compare performance with industry leaders for better reliability

AI-Powered Insights

Detects early signs of failure before breakdowns happen

Remote Access

Monitor asset health anytime, anywhere

Technical Spesification

MEASUREMENT

Frequency
From 10 Hz to 50000 Hz

Acceleration
Up to 1000gE

Temperature
From -45°C to 120° C (-49°F to 248°F)

Sample Configuration
32768 lines (per axis)

POWER SOURCE

Battery
Lithium battery

Duration
Up to 24 months on default settings

Environmental Characteristics

IP Rating
IP69

Operating Temperature
From -45°C to 120° C (-49°F to 248°F)

Communication​

Wireless Protocol
Wi-Fi, Bluetooth, LoRaWAN

Wired Protocol
RS232, RS485, CANbus, EtherCAT CAT6, Single Pair Ethernet (SPE)

Connectivity
Full support for sensor mesh topology

Physical Characteristics​

Dimensions
51 (W) x 49 (H) x 13 (D) mm /  2.01 (W) x 1.93 (H) x 0.51 (D) in

Weight
71g / 2.5oz

External Material
Industrial-grade 304 Stainless Steel

Fixation
Optional magnetic and screw mount brackets available

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Sensor to Receiver Communication
All analytics and pre-processing performed on the edge

Certification
EN 50155, IEC 61373, CE, RoHS

Intelligent Signal Processing

  • Onboard embedded Linux-compatible microprocessor
  • Real-time decision-making with latency <1ms
  • AI-based Fault Classification (trained on 77+ failure types)
  • Advanced Signal Processing Techniques:
  • Digital Band-pass Filtering
  • Hilbert Transform
  • Envelope Detection
  • FFT (Fast Fourier Transform)

Guide the future
Request a Demo

Guide the future
Request a Demo