How to Evaluate Pedestrian Detection Systems Before You Buy

To evaluate pedestrian detection systems, start with your own hazards, not the product. Define where people and vehicles interact, then test each system on your machines, in your conditions, against written success criteria: people detected, nuisance alarms per hour, operator acceptance, data captured and local support. A structured pilot answers more than any demo.

When a pedestrian detection project disappoints, the technology is rarely the cause. More often, the system simply wasn't matched to the operation it was bought for.

This guide walks through seven questions, the trade-offs between technologies, and a pilot structure that gives leadership a clear yes or no.

Why Most Attempts to Evaluate Pedestrian Detection Systems Fall Short

The typical process goes like this. A vendor runs a demo in a clear, quiet aisle. Someone walks behind the forklift, the alarm sounds, and everyone is impressed. A purchase order follows.

Then the system meets real work. Racking, pallets, glare, a second shift, a crowded dock. Without settings matched to those conditions, alarms can become frequent, and operators may start to tune them out.

The fix isn't a better demo. It's a better test. When you evaluate pedestrian detection systems, the question isn't "does it work?" It's "does it work here, for these people, on these machines?"

1. Define the Problem Before You Look at Products

Start with your interactions. Where do pedestrians and vehicles actually cross? Which machines, which shifts, which tasks?

• Locations: cross aisles, dock doors, staging lanes, maintenance bays, yard crossings.
• Movements: forward travel, reversing, turning, lifting with a raised load.
• People: employees, temporary staff, truck drivers, visitors and contractors.
• Machines: counterbalance forklifts, reach trucks, telehandlers, loaders, yard trucks.

A cross aisle in a distribution center, a loading dock and a quarry face present very different risks. Write the problem down before you open a single brochure. It becomes the yardstick for everything that follows.

2. Know What the System Actually Detects

This is the most important technical question, and the one most often glossed over. Systems fall into three broad groups:

• Object detection: alarms on anything in the zone. Radar and ultrasonic sensors work this way.
• Tag-based detection: alarms on people wearing a tag. RFID and UWB systems work this way.
• Person classification: camera-based AI that recognizes people in the image and ignores most objects.

Each approach answers a slightly different question, so it helps to know which one a system uses before you compare results.

It's fair to ask every vendor the same practical questions. How does the system respond to a crouching worker? Someone partly hidden by a load? A person in dark clothing at night? A worker carrying a box that hides their outline?

"Ask what it detects, and how it performs at the edges."

3. Test It in Your Own Conditions

Sensors behave differently in the real world than in a showroom. Make a list of the conditions your site actually has:

• Dust, rain, snow, steam or wash-down
• Low light, night shifts and glare from dock doors or low sun
• Cold stores and freezer-to-ambient transitions that fog lenses
• Vibration on rough floors, ramps and yard surfaces
• Dense racking, reflective surfaces and narrow aisles

Ask for evidence from environments like yours, then test in your own facility during a real shift. For earth-moving machines, ISO 16001:2017 sets performance requirements and test methods for object detection systems and visibility aids, including camera, radar and vision-based systems. Even on forklifts, its structure is a useful model for writing your own test plan.

4. Detection Zones and Alarm Logic

Zone design decides whether a system helps or annoys. Zones that are too large create constant alarms. Zones that are too small give the operator no time to react.

The zone has to cover the distance the machine travels while the operator reacts, plus the distance it needs to stop. A faster or heavier machine needs a longer zone. That's physics, not a vendor setting.

Good systems let you:

• Set zones separately for front, rear and sides
• Adjust zone size per machine and per site
• Choose between one alarm zone and graduated warning and danger zones
• Tune sensitivity to cut nuisance alarms without opening blind spots

Ask who sets the zones at installation, and who adjusts them six months later when the layout changes.

5. The Operator Experience

Operators decide whether a system succeeds. If they trust the alarm, they react. If they don't, they learn to ignore it, or find a way to disconnect it.

Look closely at the alert itself. Is it audible, visual, or both? Is there an external warning for the person on foot? Does the system only warn, or can it slow or stop the machine? Systems that intervene automatically raise their own design and testing questions, and ANSI/ITSDF B56.5 addresses automated functions of manned industrial vehicles.

Then count. During the pilot, record how often the alarm fires in a normal hour and how many of those alarms involved a real person. That ratio tells you more about long-term success than any spec sheet.

"An alarm operators don't trust is an alarm operators don't hear."

6. Data, Recording and Ownership

Event logs, video clips and near-miss records turn a safety device into a management tool. They also create records your organization will need to manage.

• What is recorded: alarms only, video around each event, or continuous video?
• Where is it stored: on the machine, on a local server, or in the cloud?
• Who owns it, who can access it, and how long is it kept?
• How does it reach your EHS team, and how often will someone review it?

Settle retention and access rules before installation, not after the first incident. Involve HR, IT and, where relevant, employee representatives early.

7. Installation, Support and Total Cost

The purchase price is only part of the cost. Installation, calibration, firmware updates, spare parts, training and downtime all decide whether a system keeps performing.

• Who installs it, and how long does each machine stay out of service?
• How does the system get power, and what happens when the machine is shut off?
• Who updates firmware, and do updates change settings?
• Are spare cameras, sensors and cables stocked locally?
• Who answers when a unit fails mid-shift, and how fast?

Understand the Trade-Offs

Every detection technology is designed around a particular way of sensing people, and each performs best in the conditions it was built for. Knowing those conditions helps you match the right tool to the right machine.

• Camera AI works best with a clear view and good image quality, so lens placement and cleaning matter.
• Tag systems work best where everyone on site, including visitors and contractors, carries a charged tag.
• Radar and ultrasonic sensors work well in dust, rain and darkness, and are usually paired with a camera when telling people from objects matters.
• Every system performs best with careful installation, well-set zones and routine maintenance.

Detection works best as one layer alongside separation, traffic management and training. I compare the main approaches side by side in Camera AI vs RFID vs Radar.

Run a Structured Pilot

A pilot without a baseline and success criteria proves nothing. A structured one gives leadership a clear decision. Before you start, write down:

• The specific machine and area being tested, chosen for the highest exposure
• A baseline: current near misses and interactions in that area
• Success criteria agreed in advance, including an acceptable nuisance alarm rate
• A test period long enough to cover every shift and typical conditions
• A simple form for operator feedback, collected weekly
• A written result: adopt, adjust, or reject, with the reasons

That written result matters beyond the purchase decision. As I explain in the forklift pedestrian safety standard of care, a documented evaluation is part of what shows a reasonable decision was made.

From the Field

I've worked with equipment dealers deploying AI pedestrian detection on forklift fleets, and I've sold and supported these systems on forklifts and heavy equipment. The lesson I'd pass on is simple: the hardware is rarely the hard part. Zone setup, operator trust and dependable support decide whether a system stays switched on.

The evaluations that go well treat the pilot as a test of fit, not a sales step. They involve operators from day one, write down what success looks like, and accept that "not this system" is a perfectly good result.

If you're comparing proposals and want an independent view, a technology decision review gives you a structured comparison before you commit.

Fit Beats Features

The best way to evaluate pedestrian detection systems is to make them prove themselves on your machines, in your conditions, with your operators. Define the problem, test carefully, count the alarms, and write down the result.

"The right system is the one your operators still trust a year from now."

Want to talk through your evaluation? Book a 30-minute call.