Miles CAM Overdose Detection helps staff respond faster when someone may have collapsed from an overdose. No wearable, no app, no check in. Built for sensitive environments with privacy first design and a human review step.
In shelters, supervised consumption sites, and public washrooms, overdoses can happen unseen. Wearables don’t scale, manual check-ins are inconsistent, and most camera systems aren’t built for privacy-sensitive environments.
Miles CAM Overdose Detection is passive monitoring designed for real sites. It looks for collapse risk signals, routes them to a staff review queue, and escalates only when confirmed so the system stays trustworthy.
Three sensing layers, one shared vocabulary, and a safety-first escalation flow
An IP camera streams to a local device. The system finds people in the scene and tracks posture and stillness over time to detect collapse risk.
Optional RF sensing can detect tiny breathing rhythm signals that video cannot reliably confirm. This adds a strong second opinion for safety.
Optional clip-level understanding adds scene context over a few seconds of video and improves as your team reviews and labels real events.
Signals from each layer combine into one final risk level. This reduces false alarms and avoids missing critical events.
Alerts first enter a staff review queue. Confirm, mark false alarm, or escalate so the system earns trust and stays usable.
Designed for sensitive environments. Raw video stays on-device; storage is minimal, and privacy protections are built in.
Built to be deployable in real harm reduction environments
Designed so raw video stays on-device by default.
Reduce privacy risk while maintaining operational usefulness.
Staff remain in the decision loop to prevent trust loss from false alarms.
Where passive monitoring can save a life.
Ship a camera-only MVP first, then add RF sensing and clip-level understanding
YOLO + pose estimation + rule engine for collapse risk signals, plus a human review queue and basic alert escalation.
Privacy-first architecture designed for on-site processing and sensitive environments.
Recruiting pilot sites in harm reduction, shelters, and transitional housing to validate the MVP and collect real-world feedback.
Add ESP32-based RF sensing to detect breathing rhythm changes and strengthen confidence when the camera alone is ambiguous.
Add a video transformer layer and continuously improve using labels collected naturally in the review workflow.
Join the pilot and help shape overdose detection that works in the real world
Miles CAM is seeking strategic investors to accelerate pilots, deployments, and life saving outcomes
We are speaking with mission-aligned investors and partners. Contact us for the investor deck and details.
Pilot sites, partners, and investors. Let’s talk.
For supervised consumption sites, shelters, and facilities looking to pilot overdose detection, contact us directly.
We’re looking for harm reduction partners, operators, and integrators to deploy responsibly and iterate fast.