Operational Risk Visibility

Best Way to Monitor Forklift and Pedestrian Near-Misses Using Cameras You Already Have

The best way to monitor forklift and pedestrian near-misses with existing cameras is continuous video analysis that watches your traffic lanes, intersections, and blind corners every shift, flagging the moment a pedestrian and a forklift get too close – not just the moments someone happened to be watching. It runs on the cameras already covering your dock doors, aisles, and crossings, so there’s no new infrastructure to plan around your traffic pattern.

How It Works

1. Map the traffic risk. Your EHS or operations lead identifies the highest-risk intersections, blind corners, and pedestrian-forklift crossing points on the floor.
2. Set the zones. Those areas get defined as monitored zones using the cameras already covering them – no new cameras needed if coverage already exists.
3. Continuous detection. The system watches for the specific pattern that defines a near-miss – a pedestrian and a forklift converging inside a defined distance or time window – every shift, including the ones nobody is walking the floor for.
4. Real-time alert, with evidence. A near-miss generates a structured alert with a clip, so the specific intersection and time pattern becomes visible instead of staying anecdotal.

Comparing Approaches

Forklift-pedestrian safety is one of the most mature camera-analytics use cases, which means there’s real variation in how vendors approach it:

• Proximity-tagging hardware (beacons or RFID on forklifts and PPE): detects proximity directly and works well, but requires equipping every forklift and often every pedestrian with hardware, plus ongoing maintenance of that hardware.
• New camera-plus-AI bundles aimed specifically at traffic zones: effective, but typically means adding cameras at the specific intersections rather than using what’s already mounted there.
• Analysis on existing cameras, covering traffic zones alongside other safety use cases: the appeal is one system that also catches manual handling, PPE, and exclusion-zone risk, not just forklift traffic, with no hardware to equip or maintain on the vehicles themselves. This is where Braingine’s approach sits. The honest tradeoff is that detection accuracy depends on camera placement and lighting at each intersection, which is why mapping that coverage first is the first step of any deployment, not an afterthought.

The honest comparison point: proximity hardware is still the most precise option in a single blind corner with heavy, fast-moving traffic. Camera-based analysis wins when you want one system watching traffic plus the rest of the floor’s safety risk, without equipping every vehicle.

Common Questions

Do the cameras need to be aimed specifically at forklift lanes to catch this?

They need usable coverage of the intersection or lane in question. If your current cameras already cover the dock doors and main aisles for security, that coverage is usually enough to start; gaps get identified during the facility walkthrough.

How is a near-miss actually defined and detected?

A near-miss here means a pedestrian and a forklift (or other powered equipment) converging within an unsafe distance or time window in a monitored zone. The specific thresholds get configured with your EHS team to match your floor’s actual traffic patterns.

Will this replace floor markings, mirrors, or horns?

No. It’s a layer on top of your existing physical controls, catching the moments those controls didn’t fully prevent and building a record of where and when they keep almost failing.

What if a near-miss happens somewhere outside a monitored zone?

It won’t be caught there – detection is scoped to the zones your cameras cover and your team has prioritized. That’s why mapping the highest-risk intersections first, rather than trying to cover everything at once, is part of the setup.

How fast can this go live for a specific set of forklift lanes?

A single-site deployment, including the forklift and pedestrian zones, is typically five days or less from camera access to first live alerts, with first results visible within 30 days.

Is this the same system that also catches PPE and ergonomics issues?

Yes. Forklift and pedestrian near-miss detection is one hazard category inside the broader Proactive Safety Intelligence approach, which also covers manual handling, exclusion zones, and PPE compliance from the same camera feeds. See What Is Proactive Safety Intelligence? for the full picture.