The most dangerous place in a crane bay is under the load. Here is how AI vision watches lift zones, flags people in harm's way, and helps fix the conditions behind near misses.
By the Sentrick Industrial team · Published October 4, 2026
In steel service centers, fabrication shops, foundries, paper mills, and warehouses, overhead cranes do work no person could. They also create one of the clearest hazards on any industrial site: a heavy load moving through the air above people who are busy with their own jobs. A slipped rigging hitch, a swinging load, or a two-blocking event can turn a routine lift into a serious incident in seconds. Crane safety programs rely on trained operators, inspected equipment, and disciplined rigging. AI vision adds something those programs have always lacked: continuous attention on the lift zone itself.
The core rule of crane safety is simple: never work or walk under a suspended load. Following it consistently is harder. Operators often run pendant or radio controls while walking with the load, and their attention is on the hook, the rigging, and the landing spot. Other workers on the floor may not realize a lift has started, especially in noisy facilities where horns and warning lights blend into the background. Struck-by and caught-between injuries from falling or swinging loads are among the serious hazards OSHA addresses in its overhead and gantry crane standard, 29 CFR 1910.179, and in its broader materials-handling requirements.
A system that alarms every time a person appears near a crane would be ignored within a day, because riggers and signal persons are supposed to be close to the load at certain moments. What matters is context: whether the crane is moving, whether the load is lifted, where the person is relative to the hook, and whether that position matches a normal rigging or landing step. Behavioral intelligence learns those normal patterns for each bay and lift type, so alerts focus on the situations that actually break the rules, such as a worker crossing under a load in transit or someone walking into the bay mid-lift.
Crane alerts are only useful if they reach someone who can act in seconds. That usually means a local warning first: a beacon, horn, or audible alert in the bay so the person under the load and the operator both know immediately. A notification to the area supervisor follows, with a short clip, so the near miss is recorded and reviewed. Some facilities also explore integrating alerts with crane controls, which should only be done with the crane manufacturer and a qualified engineer involved.
Over weeks, the pattern of alerts becomes more valuable than any single one. If people repeatedly cross under loads in the same aisle, the walking route may need to change. If one shift produces more swing events, rigging training or lift planning may need attention. If landing zones are constantly blocked, the layout or staging process is the problem, not the operator. These are the leading indicators safety teams use to fix conditions before an injury happens.
Worker buy-in matters. AI monitoring works best when its purpose is clear: protecting people from crane hazards, not tracking individual productivity. Being open about what is monitored, focusing analytics on zones and events rather than identities, and using findings for coaching and process fixes builds the trust that keeps a program working.
Sentrick Industrial applies behavioral and vision AI to the hazard zones that matter most on a worksite, including the space under and around active lifts. It is designed to support, not replace, a crane safety program built on qualified operators, inspection, and good rigging practice, adding real-time awareness to the lift zone and a clear record of near misses.
Everyone on the floor knows not to stand under a suspended load. Incidents happen in the moments when someone forgets, doesn't notice, or assumes the lift hasn't started. AI vision that watches the lift zone continuously, understands what normal crane work looks like, and warns people the instant they step into danger helps close that gap.