Smart Helmet Pilot Program: A 90-Day Rollout Plan for One Site

The Number Every Pilot Plan Ignores

Peer-reviewed research on construction wearable adoption puts the resistance number at 46 percent of labor respondents unwilling to use a biometric wearable, and 59 percent unwilling to use a tracking wearable at all. A smart helmet with a camera and live connectivity sits squarely inside both categories in a worker’s mind, whatever the actual use case is. Practical guidance drawn from the same adoption data is consistent across sources: frame the device as protection, not surveillance; let workers see their own data before a supervisor does; and staff the pilot with volunteers first, not an assigned crew. Those three rules are not soft HR advice bolted onto a hardware rollout. They are the actual design constraints the 90 days below are built around.

Days 1 to 14: Foundation, Not Hardware

Nothing goes on a head in week one. The first two weeks are infrastructure and trust, in that order:

Days 15 to 45: Controlled Expansion

The volunteer group expands to the full pilot crew here, not before. Two things run in parallel for the rest of this phase:

Days 46 to 75: Full Operation, Real Data

This is the measurement window, and the metrics were already defined on day one, not invented after the data starts coming in:

A comparable wearable rollout is worth citing here on what’s possible when trust is built in early: a six-week pilot of a posture-correction wearable at JLG Industries targeted a 20 percent improvement in high-risk postures and reached 38 percent. That is a different device solving a different problem, but the underlying pattern holds across wearable categories: a pilot built around trust and usable data routinely beats its own target, and one built around compliance and surveillance routinely misses it.

Days 76 to 90: Debrief, and the Actual Decision

The go or no-go decision runs against the metrics defined on day one, not a general sense of how the pilot felt. That includes checking adoption against the resistance baseline directly: did the pilot crew’s stated willingness move past where the broader research says a typical crew starts. A pilot that moves that number is evidence a full rollout will work. A pilot that doesn’t is data worth having before a fleet order goes out, not after.

Three outcomes are all legitimate here: scale to the full site, adjust the configuration and run a second pilot phase, or stop. A framework that can only produce one of those three isn’t really measuring anything.

What Changes When You Scale Past One Site

Everything this pilot surfaces feeds directly into program cost: connectivity requirements by site, the certification region a fleet needs, and how dispatcher integration is configured all change the number laid out in how a custom smart helmet program is actually priced. A pilot isn’t a step before that budgeting conversation. It’s the input to it.

Efour’s hardware and embedded engineering services and the connectivity and edge AI stack behind the Smart Helmet are what make a pilot-to-fleet path possible without a redesign in between. Programs across construction, mining, oil and gas, and industrial sites each start with a version of this same 90-day structure, configured to the hazard on that specific site.

To scope a pilot for one site, contact Efour directly.