The Sorama L642v+ is a fixed acoustic monitoring solution for precise, continuous detection of unwanted emissions and anomalies. With 64 micro-electro-mechanical system (MEMS) microphones arranged in a sunflower array, it captures sounds from 10 Hz to 60 kHz, including ultrasound, and processes them using the powerful NVIDIA Jetson Xavier NX processor.
In simpler terms, the L642v+ works like a permanent “sound camera” for your facility. It doesn’t just hear sounds—it shows exactly where they come from, even those far beyond human hearing. Imagine spotting a gas leak as clearly as seeing steam escape, or catching an electrical fault the way you’d notice sparks in the dark. This makes it easier to catch small issues before they grow, helping industries like energy, utilities, and oil & gas improve safety, reduce downtime, and minimize emissions.
Equipment Type: Acoustic Imaging
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Industrial environments are full of sounds that signal the health of critical systems, but many of them are beyond human hearing or too subtle to detect. The Sorama L642v+ turns these hidden signals into clear, actionable insights, helping teams prevent costly downtime, minimize emissions, and maintain safety across complex sites. By continuously listening, localizing, and visualizing sound sources, it gives industries a powerful new layer of oversight that supports predictive maintenance and sustainable operations.
Built for 24/7 operation, the Sorama L642v+ continuously monitors industrial environments, ensuring that even the smallest anomalies don’t go unnoticed. At the same time, it seamlessly integrates into existing enterprise resource planning (ERP) and maintenance management systems (MMS) through its open REST API.
This combination means the L642v+ doesn’t just collect data, it delivers actionable insights directly into the systems teams already rely on. For operators, it’s like having an always-on technician who not only listens for problems but also files the report straight into your workflow, enabling faster decisions and smarter maintenance.
The Sorama L642v+ is equipped with licensed software packages that tackle two of the most critical industrial risks: leaks and electrical faults. Its Leak Inspection capability identifies and classifies emissions from gases such as hydrogen, methane, and compressed air, even estimating the size of the leak.
Meanwhile, its partial discharge inspection detects hidden electrical defects in high-voltage equipment, visualizing them through advanced tools like phase-resolved discharge plots.
In simpler terms, it’s like having a dual safeguard—spotting invisible gas leaks that waste resources and exposing tiny cracks in insulation that could trigger catastrophic outages before they escalate into costly problems.
Powered by onboard artificial intelligence, the Sorama L642v+ learns the unique sound profile of machines and detects even the slightest deviations. This allows it to identify early-stage issues such as worn bearings, pump cavitation, or failing rollers—long before they cause unplanned downtime.
By pairing AI-driven anomaly detection with preventive maintenance strategies, the device helps teams address problems proactively, cutting repair costs and extending equipment life.
In practical terms, it acts like an always-listening mechanic, trained to recognize when a machine no longer sounds “healthy.”
Built with an IP54-rated enclosure, the Sorama L642v+ is engineered to perform reliably in demanding industrial environments. It operates in temperatures ranging from -20 °C to 50 °C (-4 °F to 122 °F), making it suitable for both indoor facilities and harsher outdoor conditions.
Beyond durability, its versatility allows it to support a wide range of applications, from monitoring high-voltage equipment and pressurized systems to safeguarding mechanical assets across energy, utilities, oil and gas, and manufacturing industries.
In short, it’s a rugged, adaptable solution designed to deliver consistent oversight wherever it’s needed most.
The Sorama L642v+ can be mounted on Boston Dynamics Spot, the agile, autonomous mobile robot, to extend acoustic monitoring across facilities. This integration combines Spot’s ability to safely navigate complex or hazardous environments with the L642v+’s precision in detecting leaks, electrical faults, and mechanical issues.
In simple terms, Spot becomes a roaming “sound camera” on four legs, able to patrol, listen, and visualize sound anomalies in areas that are difficult or unsafe for people to access.
Together, they provide flexible, mobile, and intelligent monitoring for industries that demand maximum uptime and safety.
The Sorama L642v+ is powered by the advanced NVIDIA Jetson Xavier NX processor, enabling real-time edge computing and AI-driven diagnostics directly on the device. With PoE+ (power over ethernet plus, IEEE 802.3at), it runs on a single network cable for both data and power, simplifying installation while maintaining reliable performance.
Its open REST API ensures easy integration with existing enterprise systems, making it as versatile as it is powerful. Whether deployed permanently or temporarily, the L642v+ delivers continuous oversight you can trust.
The Sorama L642v+ is available for both purchase and rental, giving you the flexibility to choose the option that best fits your operation.
| Size | 170 x 170 x 65 mm (6.7 x 6.7 x 2.6 inch) |
| Weight | 0.85 kg (1.7 Lb) |
| Power | |
| Mounting |
| Internal Storage | Approx. 7gb |
| Audio | .wav (audio verification) |
| Image | .jpeg |
| Video | .mjpeg; .mkv; .webm |
| Frequency Range | 10 Hz - ≈ 60KHz |
| Frequency Resolution | 59Hz @ 60KHz, 110Hz @ 120KHz |
| Beamforming (far field) | Up to 60KHz |
| Operating Distance | 0.5m to 120m* |
| Microphone Type | |
| SNR (A-weighted, at 1 kHz) | |
| Sensitivity | |
| Acoustic overload point | |
| Leak Inspection Quiet Environment | |
| Leak Inspection Noisy Environment |
| Rest API | Sorama API Documentation |
| Enabling Multiple Acoustic Measurements | Running in the background e.g. 24/7 inspection. |
| Customize Actions | Configure events & alarms through the API |
| Areas of Interest | Set your areas of interest including specific AI models |
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