Worksite Safety · Insights

Struck-By Hazards: How AI Monitoring Helps Prevent One of the Deadliest Worksite Risks

When people, vehicles, and loads share the same space, the danger is often visible seconds before contact. Vision AI can watch every interface at once and warn in time.

By the Sentrick Industrial team · Published October 2, 2026

On construction sites, in warehouses, and across industrial yards, many serious injuries come down to the same moment: a worker and a moving object occupying the same space at the same time. A reversing truck, a swinging crane load, a dropped tool from height, or a forklift turning a blind corner. These are struck-by incidents, and they are one of the clearest examples of hazards that can be seen coming if someone, or something, is watching.

What counts as a struck-by hazard

OSHA groups struck-by hazards with falls, caught-in or -between incidents, and electrocution as the “Focus Four,” the leading causes of fatalities in construction. Struck-by hazards generally fall into four types:

Why struck-by incidents are hard to prevent

The conditions change minute by minute. A safe walkway becomes a vehicle route when a delivery arrives. An exclusion zone under a lift exists only while the lift is running. Operators have blind spots, spotters get pulled to other tasks, and workers wearing hearing protection may not hear a backup alarm. Training and site plans set the rules, but no supervisor can watch every vehicle, load, and pedestrian at once.

How vision AI helps

AI-enabled cameras can monitor the specific situations that lead to struck-by incidents and alert while there is still time to act:

From alerts to prevention

Real-time alerts address the immediate danger, but the bigger value often comes from the patterns. If one gate sees repeated close calls between delivery trucks and pedestrians, the fix may be a barrier, a new walkway, or a scheduling change, not just more warnings. Tracking these events as near misses gives safety teams leading indicators they can act on long before an injury occurs.

Putting it into practice

One system for the whole site

Sentrick Industrial reads worksite activity in context, combining hazard zones, equipment movement, PPE, and worker behavior, and rates each situation on the BSIP™ five-level threat scale. A worker walking a marked path near a parked loader is not treated the same as one stepping behind a reversing truck. That context keeps alerts meaningful, so crews trust them and respond.

The takeaway

Struck-by incidents happen when people and moving objects meet without warning. Vision AI cannot replace good site planning, training, or supervision, but it can watch every interface at once and speak up in the seconds that matter. For sites where vehicles, loads, and people share space, that extra set of eyes can be the difference between a close call and a serious injury.

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