Industrial AI safety for difficult sites
Designed for complex brownfield environments, with rapid site specific adaptation.
We focus on the site specific conditions that cause generic models to fail, including low light, reflections, occlusion, unusual geometry, and changing operational layouts. Our models adapt quickly according to your site's needs.
Multi-hazard detection for complex sites
Built to handle the site specific conditions that cause generic vision systems to break down in live industrial environments.
PPE Compliance
Detect missing hard hats, hi vis, and other key PPE in defined areas.
Fall Detection
Identify potential fall events and trigger alerts in milliseconds
Exclusion Zones
Monitor boundary breaches around hazardous equipment or restricted areas.
Lone Worker Protection
Monitors for inactivity and distress for isolated workers in high risk zones.
Vehicle & Pedestrian Conflict
Flag unsafe proximity in mixed traffic environments such as yards and loading areas.
Compliance Reporting
Create auditable records to support review, compliance, and process improvement.
Deployed quickly. Adapted continuously.
Pre configured for rapid pilots, with local processing and a workflow designed for fast site specific refinement.
Deploy rapidly
Installed in hours
Pre configured systems installed quickly in defined operational zones.
Analyse
Failure mode identification
Identify on the site specific conditions that cause models to break down.
Adapt
Corrective dataset creation
Use targeted site data and synthetic augmentation to address specific failure cases.
Redeploy
Repeatable model refinement
Retrain and redeploy through a structured workflow designed for faster site specific adaptation.
Explore a pilot for your site
Ohm Lab is engaging with a small number of industrial partners to trial rapid deployment and site specific model adaptation in live operational environments. Contact us about a pilot today.