Security technology partner turns passive camera feeds into real-time, AI-driven alerts

Conventional camera set-ups produce a great deal of video and very little insight. Footage streams continuously, yet few users watch it in real time, so events can pass unnoticed until long after they have happened. The partner needed a mobile application that addressed this directly. It had to manage multiple IP cameras within one organised experience, rather than presenting a single undifferentiated feed, and it had to identify meaningful events and bring them to the user's attention immediately. Motion-triggered recording alone was not sufficient, as it does not distinguish a person from other movement. The partner required intelligent detection that would recognise people in the frame and notify users in real time, with each alert linked to the specific camera involved.

VulcanTech delivered a smart security camera app for the partner. Multi-camera device management lets users add and configure cameras by IP address, port and credentials, and organise them by room. Live viewing is available per room, so users can check a specific area rather than scanning a single combined feed. At the core of the app, AI-based person detection identifies people in the camera frame and highlights them with an on-frame bounding box, distinguishing human presence from general motion. Each detection generates a real-time Person Detected push notification tied to the camera that triggered it, ensuring that relevant events reach the user immediately and with the context needed to respond.