
Tufin Orchestration Suite
Automates and orchestrates network security policy changes across heterogeneous environments.

Privacy-first property monitoring with AI-driven sound analysis and environmental intelligence.

Minut is a sophisticated property monitoring solution that leverages edge AI and sensor fusion to provide short-term rental hosts and property managers with real-time situational awareness without infringing on guest privacy. By 2026, Minut has solidified its market position as the industry standard for 'silent security,' utilizing advanced machine learning models to differentiate between normal domestic sounds and high-risk noise events. Unlike traditional security cameras, Minut does not record audio or video; instead, it processes acoustic pressure levels and environmental data directly on the device. Its technical architecture facilitates deep integration with Property Management Systems (PMS) to automate guest interventions through 'Guest Connect'—an automated workflow that triggers SMS or phone calls when noise thresholds are exceeded. The platform's 2026 capabilities include AI-powered cigarette smoke detection, occupancy counting through BLE signal analysis, and mold risk forecasting based on thermodynamic sensors. Minut serves as a critical layer in the hospitality tech stack, mitigating the risk of property damage and neighborhood friction while maintaining a high data-confidence score for enterprise-scale operations.
Minut is a sophisticated property monitoring solution that leverages edge AI and sensor fusion to provide short-term rental hosts and property managers with real-time situational awareness without infringing on guest privacy.
Explore all tools that specialize in noise monitoring. This domain focus ensures Minut delivers optimized results for this specific requirement.
Processes decibel levels and frequency patterns locally to detect parties without recording audio.
Uses a dedicated particle sensor and ML model to identify the specific chemical signature of tobacco smoke.
Scans for the number of mobile devices in the vicinity using BLE and Wi-Fi signal density.
Automated workflow that triggers SMS or Autocalls to guests when thresholds are breached.
Calculates mold growth probability based on historical temperature and humidity fluctuations.
Adjusts sensitivity algorithms to filter out ambient city/nature noise for balconies and patios.
A proprietary algorithm that aggregates noise, occupancy, and motion into a single 1-100 risk score.
Purchase Minut Generation 3 hardware sensors and create a master account.
Download the Minut mobile application for iOS or Android.
Charge the device and connect via Bluetooth for initial provisioning.
Configure Wi-Fi credentials (2.4GHz) to enable cloud synchronization.
Define 'Quiet Hours' and noise threshold levels (dB) for individual properties.
Mount the device to the ceiling using the magnetic mounting plate.
Integrate with your PMS (e.g., Guesty, Hostaway) to sync guest contact data.
Set up 'Guest Connect' automated communication sequences.
Enable AI Cigarette Smoke detection in the sensor settings.
Test the alert system by simulating a noise event to verify webhook/SMS delivery.
All Set
Ready to go
Verified feedback from other users.
"Users highly value the privacy-safe approach and the automated guest communication, though some note the battery life varies significantly with high activity."
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