The startup develops a signal processing system that enables autonomous vehicles and machines to accurately perceive their environment through acoustic and vibroacoustic technologies. By providing situational awareness, their solutions enhance safety and productivity for companies operating in complex environments.
Funding
$620K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Autonomous vehicles and machinery operating in complex environments often lack sufficient situational awareness, leading to safety risks and reduced productivity. Traditional sensor systems may not adequately capture critical information from the surrounding environment, particularly auditory cues that can indicate potential hazards or operational inefficiencies.
Solution
Meluta Oy develops and provides intelligent signal processing systems that enable autonomous vehicles and machines to perceive their environment through acoustic and vibroacoustic technologies. Their core product, Meluta MAX, uses microphones and vibroacoustic sensors to detect and classify important sound sources, such as emergency vehicles, human speech, other machinery, and road conditions. This information is then used to create a real-time model of the surroundings, enhancing situational awareness and enabling safer and more efficient operation. The system's modular software architecture supports various processing platforms and facilitates integration with existing control systems, databases, user interfaces, and cloud services.
Target Audience
The primary target audience includes manufacturers and operators of autonomous vehicles, remote-controlled machinery, and industrial equipment, as well as companies seeking to improve safety and productivity through advanced sensor technologies and signal processing.
Features
- Real-time sound source classification and localization for enhanced environmental perception
- AI/ML-powered algorithms for signal processing and pattern recognition
- Modular software architecture for flexible integration with existing systems
- Support for various sensor hardware and processing platforms
- Cloud connectivity for data logging, remote monitoring, and over-the-air updates
- Custom filtering and algorithm development for specific applications
- Wireless stethoscope for remote condition monitoring and fault detection
- Partial discharge monitoring to detect insulation faults in electrical equipment