Turn ordinary cameras into vigilant firefighters with AlexNet-powered computer vision that detects flames and smoke in real time and immediately alerts authorities.
Traditional smoke alarms or human monitoring often detect fires too late. Cameras already capture early signs, but no one watches them 24/7 — leading to delayed responses, false alarms, and avoidable losses.
Early visual detection + instant alerts → faster dispatch, fewer losses, safer communities.
AlexNet-based computer vision detects flames and smoke in live video feeds. When confidence crosses a safety threshold, it instantly notifies authorities and facility staff.
Plug‑and‑play camera unit for new installs and remote sites.
Drop‑in module for existing CCTV and smart camera systems.
APIs, SMS/Email, and optional on‑site siren/strobe. Tuned for ≥95% recall.
Deploy anywhere: Edge device (Jetson/RPi) for low latency, or Cloud API for centralized CCTV.
Each detection stores timestamp, location, and a frame snippet for review and model improvement.
Primary: PR‑AUC / AUROC. Secondary: F1@operating threshold, latency (ms/frame), false alarms/hour.
< 500 ms per frame @224×224 on Jetson Nano / standard GPU; ~20 FPS per feed.
On‑device detection with optional cloud console for fleet monitoring, history, and remote thresholds.
Export via TorchScript/ONNX; optional INT8 quantization for edge accelerators.
RTSP · ONVIF · HTTP · Vendor SDKs · REST APIs for dispatch and third‑party alerting.
Model training & offline testing.
Field deployments with municipal fire departments and facility partners.
Scale manufacturing and integrations with camera vendors.