Exploring factory safety with visual AI
Demonstrations of PPE, zone occupancy and pedestrian–forklift interactions.
Discuss a similar challenge
This content uses existing materials and demonstrations. Project applicability is evaluated against data, environment and agreed criteria.
The challenge to define
Camera footage needs to connect with situations an operator wants to review. Viewpoints, lighting and work-area layout affect what can be evaluated.
The approach
Use the existing demonstrations to explain detection, observation zones and event display. For a project discussion, choose one area and a representative dataset for a separate assessment.
Explore related capabilitiesProposed deliverables
Event review interface
PoC evaluation criteria
Validate under relevant conditions
Agree data, scenarios and acceptance ownership before a trial.
- Test representative lighting and viewing conditions.
- Document missed-event and false-alert counting.
- Test operator verification and response.
Related materials & interfaces
Images are labelled by material type and usage context.
Visual safety analytics
A frame from the PPE detection demonstration video, with AI result overlays.
Configuring analytics rules
An application screen for configuring regions and counting lines in video analytics.
See the capabilities in action
From protective equipment to zone occupancy and pedestrian–vehicle interactions, explore the technology through visual demonstrations.
Protective equipment detection
See how AI identifies workers and protective equipment in camera footage to support safety compliance monitoring.
- Identify people in the scene
- Analyze helmets and safety vests
- Display results on the video
Start with your challenge.
Share your context and goals to define a concrete first experiment.



