
Real-time computer vision for PPE compliance, hazard-zone intrusion, fire and smoke detection, spill detection and ergonomic risk across plants, refineries and warehouses.
Quick Answer
NeoBram deploys real-time AI safety monitoring on industrial sites - PPE compliance, hazard-zone intrusion, fire and smoke, spill detection, forklift and pedestrian safety, and ergonomic risk - running on edge GPUs against your existing CCTV cameras with no privacy-impacting cloud upload.
Why This Matters
Most industrial sites already have hundreds of cameras. They record incidents for forensic review but do nothing to prevent them. Safety officers can't watch every feed in real time.
AI safety monitoring turns existing CCTV into a real-time prevention system. PPE violations, hazard-zone intrusions, fire / smoke / spills and unsafe forklift behaviour are detected in seconds and alerted to supervisors with the camera view, location and time.
We deploy on edge GPUs (NVIDIA Jetson, T4) inside your network. No video data leaves the site. Detections are face-blurred by default - the system focuses on behaviour and conditions, not identifying individuals - keeping you compliant with works-council and privacy requirements.
Our Tech Stack
Architecture Deep-Dive
Detect helmet, hi-vis, safety glasses, gloves, hearing protection and harness compliance in real time at gates, work zones and high-risk areas.
Detect pedestrian intrusion into forklift zones, exclusion zones around machinery, and unsafe forklift-pedestrian proximity - with sub-second alerts.
Early detection of flame, smoke plumes, liquid spills and gas-cloud visual signatures - augmenting traditional fire & gas systems with faster optical detection.
Real-time alerts to supervisors via Teams / Slack / WhatsApp with camera snapshot, and structured incidents pushed to SAP EHS, Enablon or ServiceNow for investigation and trending.
Enterprise AI demands enterprise-grade security. Every solution we deploy follows strict data sovereignty, safety, and compliance standards.
FAQ
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