LivNSense - sense, innovate, sustain
VICAS

Physical AI for Industrial Safety

Physical AI that acts
before the incident

See. Understand. Predict. Intervene.

VICAS™ turns the cameras on your vehicles, plant and perimeter into a real-time physical AI system: edge AI that detects people, machines, hazards and intent, and intervenes at the point of risk, in the moment milliseconds matter.

Deployed where the risk is

100+
Machines and cameras protected
25+
Industrial sites live globally
125+
IP assets in industrial AI
70–80%
Reduction in on-site accidents

The blind spot is measured in seconds

A worker. A moving machine. One blind spot. Two seconds. Most serious industrial injuries are not a failure of intent. They happen because a person and a machine occupied the same space, and nobody was in a position to see it coming.

Traditional safety
Observe → Report → Investigate
VICAS™
Sense → Understand → Predict → Intervene

Blind zones, night shifts, dust, fatigue and the sheer number of simultaneous movements on an active site defeat supervision, however good the safety culture. Detection alone is not enough, and neither is prediction on its own. VICAS™ acts in the moment that matters.

See how VICAS™ closes the gap
Fisheye camera view with warning and danger zones drawn on the ground and an oncoming vehicle detected and boxed
Rear camera on a machine detecting a worker standing inside the marked danger zone

From seeing to intervening

VICAS™ is not another camera watching footage. It is physical AI running at the edge, on the equipment itself, in four layers that take a scene from a raw video feed to an action the operator can take before the incident happens.

Partial human detection: a worker identified from a limb or partial view behind an obstruction
01 - SEE

Computer vision

Detect people, PPE, machines, zones, obstacles and hazards, including a worker identified from a limb or partial view behind an obstruction.

Worker proximity and trajectory detected relative to a machine's path
02 - UNDERSTAND

Contextual intelligence

Compute proximity, direction, trajectory, blind spots and operational context, so a worker walking past a machine reads differently to one walking into its path.

VICAS analytics dashboard showing risk and incident trends used to identify what is likely to happen next
03 - PREDICT

Risk intelligence

Identify what is likely to happen next, not just what is happening now, turning a converging path into a risk score before it closes.

In-cab VICAS display showing the camera feed with the danger zone drawn and workers detected
04 - INTERVENE

Real-time physical AI

Warn the operator immediately through audio and visual alerts on the equipment itself, with no dependence on connectivity to the office.