Cloud-based AI/ML video surveillance that detects and identifies people, objects and behaviours from existing IP cameras and alerts security teams in real time.

No human can watch dozens of cameras 24/7 without fatigue, so incidents, intrusions and suspicious behaviour go unnoticed until it is too late.
Broadsecure applies 365mesh's in-house AI/ML algorithms to existing IP cameras, turning them into smart decision-makers that detect, classify and track people and objects in real time.
Existing ONVIF IP cameras capture live footage; AI Edge Compute processes only the necessary data before sending it to the cloud; AI/ML models detect and classify objects, faces and behaviours; and incident alerts are pushed to security personnel via SMS and email.
Vendor documentation: link 1 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Broadsecure's AI/ML algorithms run on existing ONVIF-compliant IP cameras so current hardware does not need replacing.
An intuitive floor-map interface visualises all camera locations and live feeds from one screen.
A searchable library of detected faces integrates with Active Directory to log personnel appearances across footage.
Footage can be filtered by motion type and visualised as heat maps to reveal pedestrian flow and peak hours.
Users define zones and digital boundaries that trigger alerts when people or tagged assets enter them.
Surveillance footage is stored in the cloud with selectable retention of 30, 60, 90, 120 or 180 days.
Ask the AI Solution Architect: compare this solution against alternatives, check connectivity for your region, and get integration guidance. Included with IoT Apps Enterprise.
Fit, availability or a detail on this page. Goes straight to 365mesh, no project needed.

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