Nobody’s Perfect: Why Forklift Safety Can't Depend on Perfect Awareness

Modern industrial sites overload operator attention, making smart AI computer vision essential to distinguish real pedestrian hazards from ambient workplace noise.

• By Nathan McKenzie
• Jul 30, 2026

In every conversation I’ve had regarding forklift safety, things always seem to come back to the operator. Were they paying attention? Did they follow the correct procedure? How experienced are they and when was their last training session? These are perfectly reasonable questions to ask, of course. Forklift operators carry a huge amount of responsibility every time they climb into their cab, and their decisions influence not only their own safety, but also the safety of the people working around them. Training, experience, and good judgment all matter enormously. But I think there’s another question worth asking: are we simply expecting too much from people?

Modern worksites place extraordinary demands on attention. Whether we're talking about a warehouse, distribution center, manufacturing facility, or construction project, operators are working in environments that are constantly moving in conditions that change from one minute to the next. Deliveries arrive, visitors appear on site, dust can be kicked up into the air, and colleagues have overlapping shift patterns where any knowledge of what is happening on site in a given moment is lost in the handover.

Yet, throughout this, we expect operators to maintain perfect awareness because that’s what most safety protocols are so often built on. According to the OSHA, industrial sectors in the US experience approximately 150 fatal machine-related incidents each year involving heavy equipment, with forklift incidents among the most common. Most fall into the "struck-by" or "caught-in/between" categories, which can cause potentially fatal injuries. What this tells us is that no matter how strict the guardrails, or how advanced the safety protocols, something isn’t working.

The Awareness Trap

If safety protocols assume perfect operator awareness at all times, they’re ultimately going to fail. Not because operators are careless or are taking undue risks, but because human attention has limits. From the moment their shift begins, operators are under a constant barrage of information – from flashing lights and dashboards to audible sirens flagging anything that might develop into a potential incident. While their senses are being overwhelmed, they’re constantly assessing the environment, responding to radio chatter, anticipating hazards, and making small decisions that carry heavy consequences.

The problem is that most forklift incidents don't emerge from moments of obvious recklessness. If they did, they'd be much easier to prevent. Instead, they tend to develop during completely routine work, often in environments that feel familiar to the people operating within them. A worker crosses a traffic route they've walked through a hundred times before. A forklift operator focuses on positioning a load safely while activity builds elsewhere in the work area. Visibility changes as vehicles, materials, and people move through the same shared space. None of these situations are unusual in themselves.

In fact, that's precisely what makes them dangerous. They're part of the everyday rhythm of a busy worksite, which means workers are constantly making decisions about what deserves their attention and what doesn't.

This is where many traditional safety approaches begin to struggle. Procedures are typically designed around known risks, but the reality of a worksite is that conditions are always shifting. The safest operators in the world don't spend their day following a set script – they’re continuously reassessing what's happening around them and adapting to circumstances as they change. That's a skill that comes with experience, but it also demands mental energy. As environments become busier and more complex, maintaining the same level of awareness becomes harder and harder, and adding yet more “scripted” safety procedures and systems only adds to the burden.

In many cases, operators are being “policed” by systems that can’t keep up with them, and instead of being able to interpret situations in context, they’re imposing a binary view of the world that the operator has already assessed and cleared. A basic proximity sensor doesn’t know the difference between a stray cone and a pedestrian – but an operator does. So when that alarm eventually sounds, it’s going to be ignored or muted.

Technology Needs to Support Awareness, Not Replace It

This is why the conversation around forklift safety is starting to change. For years, the emphasis has been on helping operators become more aware of their surroundings through training, procedures, signage, mirrors, alarms, cameras, and an ever-growing collection of warning systems. Those measures still have an important role to play, but there is growing recognition that awareness alone cannot carry the entire burden of workplace safety. The environments operators work in have become too busy, too dynamic, and too information-rich to assume that every developing hazard will always be spotted in time.

What many organizations are now looking for are technologies that can actively support awareness rather than simply demanding more of it. Advances in AI, machine vision, edge computing, and environmental sensing are making it possible for equipment to better understand what is happening around it in real time and communicate risk with much greater precision. Operator judgment can never be replaced by technology, but it can provide an additional layer of support during the moments when attention is under the greatest pressure – providing it has the context and “intelligence” to do so.

When safety systems can distinguish between genuine risk and routine activity, operators are far more likely to trust them, respond to them, and ultimately benefit from them. That's a very different proposition from a system that simply sounds an alarm every time something moves nearby.