AI and purpose-built sensors give heavy-machinery worksites early detection of PPE breaches, exclusion-zone intrusions, falls and vehicle collisions.
Worksite accidents and fatalities occur when PPE breaches, unsafe distances from moving plant, falls and collisions go undetected until after the incident.
Greenmesh combines AI, machine learning and purpose-built sensors with RFID tags and cameras to detect high-risk situations early and warn workers and control rooms before accidents happen.
AI cameras and purpose-built sensors capture PPE, worker positions, machinery and environmental conditions; data is processed at the edge and relayed to the 365mesh platform; AI analytics detect breaches and hazards; and real-time alerts are sent to workers and authorised personnel.
Vendor documentation: link 1 · vendor website
Evidence level: L2 · Documented: how evidence levels work
Identifies safety headgear, glasses and vests and restricts site entry when required PPE is not detected.
Cameras detect workers at dangerous heights without a harness and enforce exclusion zones around plant, powerlines and rail corridors.
Machine perception detects falls or slips and triggers instant alerts to authorised personnel.
Users create exclusion-zone radii around dangerous machinery and receive real-time intrusion alerts.
Blind-spot and driver-monitoring cameras warn of potential collisions between people and moving vehicles.
Cameras and sensors mount on mobile trailers, telescopic poles and vehicles for deployment anywhere on site.
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Fit, availability or a detail on this page. Goes straight to 365mesh, no RFP needed.
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