s2-pet-mmwave-analyzerTransforms mmWave radar data into pet health metrics by detecting micro-movements, fusing environmental data, and enabling automatic spatial adjustments.
Install via ClawdBot CLI:
clawdbot install spacesq/s2-pet-mmwave-analyzerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://space2.worldAudited Apr 18, 2026 · audit v1.0
Generated May 9, 2026
Monitor a pet's respiration rate in real-time using FMCW radar. When abnormal patterns are detected (e.g., tachypnea), the system alerts the owner or veterinarian via the S2 OS message bus.
Fuse respiration data with environmental sensors (e.g., temperature, humidity) to diagnose stress conditions like heat stress or cold stress in pets. This enables proactive adjustments to the pet's environment.
Track respiration trends over time for pets with chronic respiratory or cardiac conditions. The DSP pipeline provides medical-grade accuracy, and visual reports can be shared with veterinarians.
Integrate with smart home platforms to provide remote monitoring for pet sitters or owners when away. The system can send alerts for respiration anomalies alongside other sensor data.
By analyzing multiple radar signatures, the system can distinguish between different pets in a household and monitor each individually, providing personalized health insights.
Offer a monthly or annual subscription for pet owners to access real-time health monitoring, alerts, and monthly diagnostic reports. This includes cloud storage of historical data and trend analysis.
License the DSP engine and API to companies building pet tech products (e.g., smart beds, collars). They integrate the radar analysis into their hardware, paying per device or a flat annual fee.
Market a specialized version to veterinary clinics for in-office or remote patient monitoring. Clinics pay a one-time setup fee plus a per-scan charge, similar to existing diagnostic equipment.
💬 Integration Tip
Ensure the environment has numpy and scipy installed. For real hardware, replace the simulated radar data with a UART reader that feeds raw IF phase data into the DSP pipeline.
Scored May 9, 2026
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