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How many near misses came before the accident?

The near miss nobody writes down

It’s 11:15 a.m. in aisle 4. The forklift comes out of the intersection with a tall pallet blocking half the driver’s view. A picker appears from the right, scanner in hand, eyes on the screen. They see each other at the same instant, five feet apart. The picker jumps back against the racking; the forklift carries on. Nobody was hurt, so nobody writes it down.

12 cameras across 8 sectors

This is how you ask for it

«Tell me when a person on foot and a forklift meet at the intersection, and keep me the video.»

The near miss costs nothing the day it happens. It costs the day of the accident, when the investigation shows it had already happened there several times and there isn’t one line written down. Then come the time off work, the inspection and the uncomfortable question: if it was known, why was it not fixed. And the honest answer is that it wasn’t known anywhere you could look it up. It lived in the memory of four people.

You decide once

It’s decided once, on the plan. If a person on foot and a forklift are inside the same stretch of aisle at the same time, then the video is kept and one is added to that intersection’s count. And if a shift builds up more than the number you have set, the supervisor is alerted. The organization marks the stretches and the threshold; IRIS watches them every day, in every aisle, without losing interest in week three.

A struck-by inside a warehouse is almost never the first one. Ten near misses came before it at the same spot, and not one is written down anywhere. The person who jumped back goes on working with their heart pounding and says nothing, because after all nothing happened. The driver often never noticed. And the incident log only records what has already cost blood.

The day it goes wrong, the investigation always turns up the same sentence: this had happened here before, several times. Nobody was lying. That fact existed nowhere; it lived in the memory of four people and on no sheet of paper. And with it goes the only lesson that comes free, the one that tells you where it’s going to happen before it does.

IRIS does both things at once. It alerts when a person on foot and a machine share the same stretch, and it keeps the video. Then it adds up: how many times per intersection, at what hour, on which shift. Next month the meeting is no longer a clash of opinions, it’s a floor plan with three points marked on it. That’s where the railing goes, rather than where it looks tidy.

What changes

Before, the only way to know where the danger was, was to wait for somebody to get hurt. Now the monthly meeting starts with a floor plan and three points marked: this intersection, at this hour, with this machine. You paint the line, fit the mirror or change the direction of travel, and next month you look at whether the count went down. It’s the first time a safety measure can be checked without waiting for an accident.

Where we have seen it

  • Mid-morning at the engine-aisle crossing. An AGV loaded with engine blocks comes in from the left. A forklift carrying a parts cage crosses from the right, the driver looking straight ahead. In between, on the crossing painted on the floor, an operator in a yellow vest jumps back with his hands out in front. Nobody falls and nobody is going to write this down anywhere. IRIS sees the three paths at once.

    CAM-236A pedestrian jumps back at the crossing

    «Tell me when a person and a vehicle meet at the crossing, and save me the video.»

    See this cameraIndustry

  • Warehouse aisle. A forklift is moving with a pallet of shrink-wrapped jugs on its forks, stacked so high that it blocks the driver’s whole view ahead. Along its right-hand side a worker in a white coat and blue hairnet is walking across, less than a step from the wheel. The forklift’s orange beacon is on. On the left, stacked pallets narrow the aisle; on the right the conveyors are running.

    CAM-218The forklift passes right beside a person

    «Tell me if a forklift and a person on foot get too close in the aisle, especially when the load blocks the driver’s view.»

    See this cameraIndustry

  • The yard of a waste plant: a wheel loader swinging its bucket toward the heap on the left, a garbage truck stopped in the middle and the compactors on the right. Through the wide-open gate a worker is walking in, on foot, into ground where only machines move.

    CAM-180Person on foot among machines

    «Tell me if anyone walks into the yard while machines are maneuvering.»

    See this cameraCritical infrastructure

  • Mid-morning at the aisle 4 crossing. A forklift comes out with a tall pallet of shrink-wrapped boxes: the load blocks the driver’s view straight ahead. Right beside the pallet, a worker in a safety vest jumps clear with both arms out. The yellow painted walkway is six feet away. IRIS sees a person and a forklift inside the same drawn crossing zone and raises the alert while it’s happening.

    CAM-271The pedestrian jumps clear at the crossing

    «Tell me when a person and a forklift are in the aisle 4 crossing at the same time, and save me the video.»

    See this cameraIndustry

  • Mid-morning in the container yard. A red handling machine is carrying a blue container clear of the ground and swinging toward the row. Facing it, in the same lane, a truck waits with a loaded trailer. And right between them, walking along the painted lane, comes a worker in hard hat and vest. From the cab, with the container in the way, that person is invisible. IRIS sees all three at once and alerts while the worker is still in the lane.

    CAM-447A worker on foot between the machine and the truck

    «Tell me if a person on foot enters the machine lane while a machine is working or moving.»

    See this cameraPorts

  • Late afternoon in the quarry yard. A truck loaded with stone is moving along on the left. From the right, a wheel loader comes in with a full bucket, throwing up dust. Between the two, a worker in a safety vest and yellow hard hat is crossing on foot with one arm raised. On the fence behind there’s a machinery-in-motion sign and a speed limit sign. IRIS sees a person on foot inside the area where two machines are moving.

    CAM-388A worker on foot between a truck and a loader

    «Tell me the moment anyone is on foot in the machine area of the yard, even briefly.»

    See this cameraIndustry

  • Nine fifteen in the morning on the tipping floor. A worker in hard hat and a safety vest crosses the yard on foot, outside the walkway marked in yellow. To his left a wheel loader advances with a full bucket; ahead, a grab excavator swings with a loaded claw; to his right a truck is emptying its body. From none of the three cabs can he be seen in full. IRIS sees a person on foot inside the maneuvering area.

    CAM-429A worker on foot between three machines that can’t see them

    «Alert me if there is a person on foot on the tipping floor while the machinery is working.»

    See this cameraIndustry

  • The lane between material stacks in a site materials yard. A forklift is moving forward, forks first, toward the right. A worker in a hard hat and safety vest walks into that path from the right, less than a step from the tips of the forks. From the seat, the machine’s mast sits exactly between the driver and him.

    CAM-56On foot in front of the forklift

    «Tell me when somebody is walking where the forklifts run, and tell me before the machine is right on top of him.»

    See this cameraThe jobsite

  • Late afternoon on the tipping yard. A wheel loader is backing up down the maneuvering lane with a full bucket and both red rear lights on. A worker in a yellow vest is walking along that same lane, back turned, ten feet from the rear wheel. From the cab he can’t be seen: he is in the blind spot. IRIS sees the machine moving backward and the person on foot in the same lane, at the same time.

    CAM-430A loader is backing up and someone is walking behind it

    «Tell me when a machine backs up and there is someone on foot in the same lane.»

    See this cameraIndustry

  • The inside of a large construction site, the ground churned up with tire ruts. A group of people is walking across it: the first has a hard hat and a safety vest on, and the two behind them are bare-headed with nothing reflective. Further back, three more are crossing, also without hard hats. To their right a site dump truck loaded with rubble is moving with its operator in the seat, and top right an excavator is working beside the spoil heap.

    CAM-52Bare-headed among the machines

    «Tell me when somebody walks across the area where the machines are working without a hard hat on, and tell me while they are crossing — there is no second chance there.»

    See this cameraThe jobsite

What it doesn’t do

IRIS does not measure exact inches and does not know whether the driver ever saw the person. It flags that the two shared the same stretch and keeps the video for someone who knows the place to judge.

And it does not identify the driver or read the machine’s number. It talks about people and machines in a stretch of aisle, not about names.

Questions

Does there have to be contact for it to count as a near miss?
No. What gets counted is a person on foot and a machine being inside the same stretch of aisle or the same intersection at the same time, with no contact and no emergency braking required. The value is precisely in the ones that never touched: they’re the ones nobody records today and the only ones you can learn from without it costing anybody a finger. You mark the stretch yourself on the image.
Is it useful for deciding where to put a barrier?
Yes, and that’s what it’s best for. A single alert is an anecdote. The same count repeated over a month tells you which intersection concentrates the close calls, at what point in the shift and with which kind of machine. With that, the railing, the mirror or the one-way change goes where it’s genuinely needed. And next month you check whether the count went down, which is the only honest way to know it worked.
Does it work outside a warehouse?
Yes. The same scene repeats in very different places: a quarry yard with haul trucks and someone walking between them, the tipping floor of a recycling plant, the loading dock of a prison during a delivery, a construction site with machines maneuvering. The machine changes and the ground changes, but the question is the same: is anyone walking where something that weighs twenty tons is moving?
Does IRIS identify the forklift driver?
No. IRIS does not identify people and does not read the forklift’s number: it talks about a person on foot and a machine inside a stretch of aisle. That’s deliberate. A count that points at individual drivers becomes an industrial-relations problem in week two and stops being used; a count that points at intersections becomes civil works and fixes the place for everybody who walks through it.

See all the questions

See it for yourself

This isn’t a video. It’s a slice of the real screen.

A summary of the real interface, played hands-free. You see one case from start to finish; what you don’t see are the other screens, and there are many.

  1. Four cameras at once
  2. Each understands its own view
  3. The numbers climb by themselves
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And the best part

Video is late by definition:you watch it once the thing has already happened.

IRIS tells you while it’s happening, with the camera, the time and what it saw. Arriving in time changes the end of almost any story, and no new cameras are needed for that.

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