Smart helmet system

Every hit,
measured.

Axon is a smart football helmet that measures every hit your child takes. The moment a hit looks dangerous, you and the coach know, so nothing gets shrugged off on the sideline.

Join the waitlist Watch it detect a hit →
100 Hz sampling Seconds to alert Force + rotation, every snap
The hidden cost of impacts

Most concussions go undetected, misdiagnosed, or ignored.

Kids don't always tell you when they're hurt, and a sideline call is a judgment made after the fact. The real danger isn't the first hit — it's the second one, before a young brain has recovered. Repeated undetected impacts are linked to memory loss, depression, and CTE. And it starts long before the pros.

0%
of athletes aged 8–14 didn't report a suspected concussion
0%
knowingly kept playing through a head injury
Live detection · try it

Simulate a hit. Watch Axon read it.

This runs the same model Axon uses on the field — the Rowson–Duma probability of concussion, scored per athlete. Trigger an impact and watch the call.

IMPACT TELEMETRY linear · g rotational · rad/s²
Peak linear
0 g
Peak rotational
0 rad/s²
Concussion probability
0.0%
Awaiting impactSensor feed nominal. Trigger a hit to see Axon score it.
Athlete neck strengthaverage
Axon scores risk per athlete — not one universal g-cutoff. Stronger necks shed rotational energy, so the same hit reads differently.
360° sensor suite

A full array, built into the shell.

Eight pressure sensors map where every hit lands. A 9-axis motion sensor captures how hard and how fast the head moved. An on-board chip scores it before the play is over.

SENSE
8 pressure sensors
Four across the crown, two on each side — pinpoint where every hit lands.
MEASURE
9-axis IMU
Linear force and rotational motion — both drivers of brain injury, not just one.
PROCESS
On-board scoring
A cellular microcontroller scores every impact at the edge, the instant it lands.
ALERT
Cloud + mobile app
Streams over LTE; you and the coach get a plain-language alert in seconds.
The moat · per-athlete risk

Not a threshold. A probability.

A single g-force cutoff is wrong for almost everyone. Axon scores each impact as a probability of concussion, then bends that curve to the individual athlete — the part that's hard to copy.

COMBINED PROBABILITY OF CONCUSSION · ROWSON & DUMA, 2013
R = 1 / (1 + e−(β0 + β1a + β2α + β3aα))
a = peak linear acceleration (g)  ·  α = peak rotational acceleration (rad/s²)  ·  the interaction term aα is what single-axis sensors miss
Neck strength
Roughly 5% lower odds per pound
Stronger necks absorb rotational energy before it reaches the brain.
Head mass
Force becomes acceleration
The same blow accelerates a lighter head harder — a = F / m.
Sex
Different baselines
Risk curves shift by physiology; one threshold can't fit both.
Hydration
The brain's cushion
Dehydration thins the CSF layer that buffers the brain on impact.
Impact → alert

Four stages. One snap.

CAPTURED
The hit
Sensors log force, rotation, and location at 100 samples per second.
t = 0
SCORED
The model
The impact is scored against the athlete's own concussion-risk curve.
on the device
UPLINKED
The cloud
Flagged events stream off the sideline over the cellular link.
t ≈ 1–2 s
ALERTED
The call
A plain-language alert lands on your phone — and the coach's — before the next play.
t ≈ 2–4 s
Why the old way fails

You can't catch what you can't measure.

Self-reporting
Players hide it
Athletes stay in the game and under-report — especially kids who don't want to come off the field.
subjective · after the fact
The eye test
Symptoms lag
By the time the signs are visible from the sideline, the second hit may have already landed.
subjective · after the fact
Axon
It's measured
Objective, per-athlete detection the moment risk crosses the line — no guessing, no waiting.
objective · in real time
Why this exists
Hao Chang
Founder
3-year varsity
defensive end

Orange County, CA
I took two Grade 2 concussions before anyone on the sideline knew either had happened. Axon is the system I wish had been in my helmet — so the next kid gets pulled before the second hit, not after.
— Hao Chang, who got hit, understood the trauma, built the device, and presented the research.
Research
SIGML 2026
Vienna, Austria
March 2026
A Smart Helmet System for Real-Time Concussion Detection in Football Players
Presented at the 7th Intl. Conference on Signal Processing & Machine Learning
Vienna, March 14–15, 2026 · Certificate of Appreciation
Status · working prototype, bench validation in progress. No field pilots yet.
The field

Every one of them takes hits.

6.1M
U.S. youth tackle players
1.03M
high-school players
~10YR
helmet replacement cycle
Sources: NFHS 2024–25 participation survey · SFIA 2024 · NOCSAE/NAERA reconditioning standards

Be first to protect them.

We're bringing Axon to youth football this season. Leave your email and we'll tell you the moment it's ready for your player.