What Matters
UWB tells us where work happens.
It does not tell us how work happens.
This distinction is important.
The Limitation of Location Data
UWB Mini 5 can identify position, movement, travel distance, and congestion.
However, it cannot identify bending, reaching, lifting, searching, hand movements, or ergonomic risk.
Location alone tells only part of the story.
- Position
- Movement
- Travel distance
- Congestion
- Bending
- Reaching
- Lifting
- Searching
- Hand movements
- Ergonomic risk
Enter AI Vision
Modern AI vision systems can analyse human motion using cameras and machine learning.
These systems can identify body posture, motion patterns, repetitive activities, task sequences, and ergonomic concerns without requiring operators to wear additional devices.
- Body posture
- Motion patterns
- Repetitive activities
- Task sequences
- Ergonomic concerns
- No additional wearable device required
Why Combining Both Matters
UWB answers: Where does work happen?
AI Vision answers: How does work happen?
Together they provide a more complete operational picture.
The Future Operational Intelligence Stack
Layer 1 is UWB Movement Intelligence, measuring movement, travel, and congestion.
Layer 2 is AI Vision Analytics, measuring activities, posture, and ergonomic risks.
Layer 3 is Operational Transformation, identifying waste, bottlenecks, and standardisation opportunities.
Layer 4 is AI & Robotics Readiness, evaluating automation potential, robot suitability, and future operating models.
- Layer 1: UWB Movement Intelligence
- Layer 2: AI Vision Analytics
- Layer 3: Operational Transformation
- Layer 4: AI & Robotics Readiness
The Bottom Line
We believe the future of motion intelligence will not rely on a single technology.
The combination of UWB positioning and AI vision analytics creates a stronger foundation for operational transformation.
This approach enables organisations to move beyond observation and toward measurable, data-driven improvement.