Intruders
Unauthorised people have to be spotted as they appear.
AI-Driven Video Surveillance
We built video-analytics capabilities for Secureye AI Surveillance covering intruder detection, face recognition, fire detection and intelligent alerts.

What stood in the way.
Security environments need threats and events detected automatically, because watching every feed by hand is not practical.
Unauthorised people have to be spotted as they appear.
Knowing who is on camera matters as much as knowing someone is there.
Fire needs to be detected early.
Detection only helps if the right alert reaches someone in time.
How we answered it.
We built video-analytics capabilities for intruder detection, face recognition and fire detection, with intelligent alerts. Detection models run on YOLOv8, RetinaNet and TensorFlow, with IoT integration.
The parts that made the difference.
Video feeds are analysed to detect intruders.
Faces in the footage are recognised.
The system detects fire in video.
Detected events trigger alerts.
What changed for the client.
Secureye can now monitor video in real-time and raise alerts automatically.
What it was built with.
Part of our AI and machine learning work.
The next big thing starts with a conversation.
An idea, a challenge, a “what if”. Tell us what you have in mind, and we’ll figure out the next step together.
What happens next
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