Hackable Smart Goggles

2026-02-04 15:45 UTC gpt-5-2-thinking Open in ChatGPT ↗

Yes — there are smart glasses/goggles and wearable-display devices that are hackable in the sense that you (or other developers) can write apps for them, access their sensors/displays, or send them data (e.g., via Bluetooth, mobile apps, SDKs). Here’s a breakdown of the relevant options in both developer-friendly commercial gear and community/open-source hackable options:

👓 Developer-Friendly Smart Glasses (With SDKs / App Support)

These devices provide official software development kits (SDKs) or open APIs so you can build apps or interact programmatically.

products{“selections”:[ [“turn0product6”,“XREAL Air AR Sunglasses”], [“turn0product0”,“XREAL Air 2 Pro AR Glasses”], [“turn0product3”,“XREAL Air 2 AR Sunglasses”], [“turn0product4”,“Rokid Max AR Glasses Virtual Theatre”], [“turn0product2”,“Enmesi V20 AR Glasses”], [“turn0product5”,“Enmesi V50 Smart Glasses”], [“turn0product1”,“Kuura Smart Glasses”], [“turn0product19”,“INMO Air3 Touchpad”] ]}

📱 Best for Developers / Hackers

entity[“turn0product6”,“XREAL Air AR Sunglasses”,1] – Popular AR display glasses with broad ecosystem support and a growing developer ecosystem around XREAL SDK (Unity/AR Foundation support, spatial computing APIs). citeturn1search1turn1search8
entity[“turn0product0”,“XREAL Air 2 Pro AR Glasses”,0] / entity[“turn0product3”,“XREAL Air 2 AR Sunglasses”,0] – Similar family; can be used as a wearable display and have community tools to interact with the device (e.g., Nebula apps, SDK extensions). citeturn1search3

💡 Enthusiast / Experimental

entity[“turn0product4”,“Rokid Max AR Glasses Virtual Theatre”,0], entity[“turn0product2”,“Enmesi V20 AR Glasses”,0], entity[“turn0product5”,“Enmesi V50 Smart Glasses”,0] – Consumer AR wearables with displays; fewer built-in SDKs but workable with third-party software or developer hacks.
entity[“turn0product1”,“Kuura Smart Glasses”,0] – Lower-cost smart glasses; Bluetooth connectivity might let you send data to the device for display with custom apps.
entity[“turn0product19”,“INMO Air3 Touchpad”,0] – Example of modular add-on hardware that enthusiasts can prototype around.

📍 Note: Many near-eye displays currently focus on tethered use (connected to a phone/PC) where your app runs on the phone, and the glasses simply render output — but frameworks are evolving that let you build native smart glasses experiences.

🧑‍💻 Platforms & SDKs You Can Use for Real Development

If you want real programmability and app deployment:

🛠️ Official SDKs / Toolchains

XREAL SDK – Lets you create AR apps with Unity (spatial computing, anchoring, hand gestures, etc.). citeturn1search1
Android XR / Android Glasses Tooling – Google’s Android XR SDK lets developers target next-gen AI/glasses platforms with familiar Android tooling. citeturn1search11
Meta Wearables Device Access Toolkit – Meta (Ray-Ban) is introducing an SDK to let developers interact with their glasses’ hardware in custom ways. citeturn1search16

These SDKs support things like display overlays, sensor data, camera APIs, and more — which means you can build apps that show content on the glasses or interact with them over Bluetooth/Wi-Fi.

🧠 Community & Open / Hacker Solutions

🔓 Open-Source Smart Glasses Frameworks

MentraOS (and Mentra MiniApp Store) – An open-source smart glasses OS & SDK that lets developers write apps once that run across supported glasses. citeturn1search15
- You can write your own mini-apps and distribute them through the Mentra store.
- It supports streaming data to the glasses and interacting with I/O like cameras and microphones.

🛠️ DIY / Maker Projects

In the maker community, people build their own smart goggles using microcontrollers (like ESP32 or Raspberry Pi) and small displays — sending Bluetooth packets or custom data to show information, just as a hobby project. citeturn0search16

📌 Key Things to Know Before Buying

✅ SDK / Developer Access: Check if the platform actually provides an SDK or API docs before you buy — not all “smart glasses” let you build apps.
✅ Bluetooth / Connectivity: Many devices support Bluetooth LE, Wi-Fi, or USB interfaces — but custom protocols vary by model.
✅ Display Type: Most “hackable” devices are augmented-display glasses (overlay information), rather than AR headsets with deep environmental tracking.
✅ Platform Support: If you want true standalone apps (not just phone companion apps), look for glasses that run Android XR or have open OS/SDK support.

🧠 Summary

Yes — there are hackable smart glasses you can build apps for or send content/data to, especially models with open or SDK-enabled ecosystems.
The XREAL series + SDK is a strong mainstream choice for developers today. citeturn1search1
Platforms like MentraOS provide a genuinely open app ecosystem for hobbyists. citeturn1search15
New Android XR glasses are coming soon that will make native development even easier. citeturn1news31

If you want, I can recommend specific hackable models best suited for custom app development depending on your coding language or use case (e.g., Unity AR apps vs Bluetooth data display). Just let me know what you’re trying to build!

Here’s the honest scoop on smart swimming goggles and whether any of them are “hackable” — meaning you can write your own apps or send them custom data to display, especially during swims:

🏊‍♂️ Today’s Smart Swimming Goggles — What They Are

Here are some popular smart swim goggles on the market right now:

products{“selections”:[ [“turn0product3”,“FORM Smart Swim 2 Goggles”], [“turn0product1”,“Holoswim Smart Swim Goggles 2S”], [“turn0product2”,“Holoswim AR Smart Swim Goggles 2 Pro”], [“turn0product0”,“FINIS Smart Coach Swim Goggles”], [“turn0product6”,“Finis Smart Coach HUD Set”], [“turn0product5”,“FINIS Smart Goggle Max Kit”] ]}

🥇 Top Performance-Focused Smart Goggles

entity[“turn0product3”,“FORM Smart Swim 2 Goggles”,1] – Highly rated smart swim goggles with a heads-up AR-type display showing metrics like pace, stroke rate, distance, and even heart rate while swimming. citeturn0search1
entity[“turn0product1”,“Holoswim Smart Swim Goggles 2S”] / entity[“turn0product2”,“Holoswim AR Smart Swim Goggles 2 Pro”] – More affordable options with display and real-time tracking.

🏊‍♂️ Other Tracker-Style Smart Goggles

entity[“turn0product0”,“FINIS Smart Coach Swim Goggles”] and related HUD kits (like the entity[“turn0product6”,“Finis Smart Coach HUD Set”] or entity[“turn0product5”,“FINIS Smart Goggle Max Kit”]) are older/less advanced systems that show some data during swimming but are still not open to custom software development.

❓ Are Any Smart Swimming Goggles Truly “Hackable”?

In Short:

➡️ No widely available smart swim goggles let you write your own apps or send arbitrary data to display underwater today.

All the commercially available models (like the FORM and Holoswim goggles) are closed-system consumer products:

They show pre-defined swim metrics (time, pace, strokes, heart rate, etc.) via a built-in HUD. citeturn0search1
You can customize which metrics you see using the manufacturer’s app, but that’s done through the official app/settings, not by developing your own software or pushing arbitrary data streams to the goggles.

✔️ For example, FORM goggles sync with the FORM mobile app and offer a custom workout builder inside that app, but there is no public SDK or developer interface to upload arbitrary data or run your own code on the goggles. citeturn1search9

🧠 Why “Hackable” Smart Swim Goggles Don’t Really Exist Yet

Smart swim goggles with heads-up displays are still a niche emerging category. Most manufacturers focus on:

Performance analytics (pace, stroke, distance)
User-friendly metrics via companion app
Preset displays based on swim workouts

What you cannot do with current models is:

❌ Write and install your own apps that run on the goggles themselves.
❌ Push custom graphical data (e.g., text, charts) to the HUD from your own Bluetooth device or app.
❌ Access an open API or SDK for custom development.

In other wearable categories (like AR glasses or smart watches), some devices do offer SDKs for developers — but in swim goggles this is not yet a thing.

💡 Workarounds & “Hacky” Options

If your goal is to display custom data in your field of view while swimming, here are some alternative ideas:

🧩 1. Use a Smartwatch + Swim Mode

Swim-capable smartwatches (e.g., Garmin, Apple Watch + waterproof case) can display custom data via apps on the watch, and can pair with Bluetooth sensors. While the HUD won’t show custom data, you can glance at your wrist between laps.

🧩 2. DIY Smart Goggles

Build your own using a small microcontroller (like Raspberry Pi, ESP32), a tiny transparent display, and sensors. This is very “maker” level — not consumer-ready — but totally hackable:

You control the code.
You decide what data to show.
You can send data via Bluetooth or Wi-Fi from your phone or a wearable.

Depending on your skill level, that might be more satisfying than trying to bend commercial goggles into a developer platform.

🏁 Summary

There are smart swimming goggles with heads-up displays and real-time metrics (like the FORM Smart Swim 2), but they are not open/hackable developer platforms. citeturn0search1
No consumer goggles currently provide an SDK or open API for programming your own apps or sending custom display data.
If you must hack something, you may need to build a custom solution from DIY hardware — or use other programmable wearables (e.g., smartwatches) in conjunction with goggles.

If you want, I can point you to ways to build your own DIY smart swim goggles with programmable displays and Bluetooth data — just let me know what hardware platform you prefer (e.g., Raspberry Pi, ESP32, Arduino, etc.)!

If you own the goggles + phone, the cleanest way to start is observe what the phone app is doing, then work outward from there. With FORM specifically, they advertise that the goggles “wirelessly sync” to the app post-swim, so you’re likely looking at a BLE (Bluetooth Low Energy) sync protocol. citeturn0search5

0) Don’t skip the boring bits (legal + safety)

Check FORM’s ToS / local law around reverse engineering and interoperability.
Only test with your own goggles/account/phone.
Be careful around firmware updates: poking at unknown characteristics while the app is updating firmware can brick things.

1) Figure out the transport: BLE GATT vs “classic” Bluetooth

Most wearables use BLE GATT (services/characteristics), not classic serial SPP.

Quick checks (no hacking required):

On Android, use nRF Connect (or similar BLE scanner) to:
- Find the device
- See if it advertises as BLE
- List GATT services/characteristics (often partially visible even before pairing)

If you see lots of 128-bit UUIDs and characteristics with Notify/Write, it’s almost certainly GATT.

2) Easiest capture path: Android “Bluetooth HCI snoop log”

This is the best beginner-friendly route because you capture the traffic from the phone’s point of view, and can open it in Wireshark.

High-level flow:

Use an Android phone.
Enable Developer options → Bluetooth HCI snoop log (Android records a btsnoop log of Bluetooth traffic). citeturn0search16
Do a controlled interaction: open FORM app → connect → trigger a sync.
Pull the log off the phone and open it in Wireshark.
Filter for ATT/GATT and look for:
- Service discovery (UUIDs)
- Writes from phone → goggles (commands)
- Notifications/indications from goggles → phone (data)

Why this works well: even if the BLE link is encrypted over the air after pairing, the phone still has to process plaintext at the host stack level, and HCI logs often let you see what the app is actually sending/receiving.

3) Map the protocol in layers

Once you can “see” traffic, build a map:

A. Identify the “control” vs “bulk data” paths

Control: short writes like 0x01 0x00 ... that change modes, request metadata, start transfer, ack packets
Bulk: longer notifications/reads that look like chunked binary (workout files, sensor logs)

B. Correlate actions to packets

Do repeatable tests and compare captures:

Sync after a short swim vs long swim
Change one setting in the app, sync again
Force “re-sync” / “delete” if available

Your goal is to answer:

Which characteristic starts the sync?
Which characteristic streams data?
Is there a file header / length / CRC?
Does it do request/response windows (sequence numbers)?

4) Build a minimal “listener” before you build a “talker”

Before you try to send commands (riskier), write a tiny script/app that:

connects,
subscribes to notifications on the suspected data characteristic(s),
logs bytes to a file.

You can do this with a generic BLE library (Android, Python + Bleak on a laptop w/ BLE, etc.). Start read-only.

5) Expect pairing/bonding + encryption

Many devices require pairing for anything interesting; once paired, the link is encrypted. Pairing is the normal way BLE encryption is enabled. citeturn0search6
That’s not a dead end—just means your best insights will come from:

the phone-side capture (HCI snoop), and
GATT exploration after pairing.

6) Optional: “static” reverse engineering of the app

If you’re comfortable with mobile RE:

Look for strings: UUIDs, “service”, “characteristic”, “sync”, “protobuf”, “crc”, “firmware”
See if payloads are protobuf/CBOR/JSON, or raw binary
This can reveal message framing faster than packet-only analysis

A practical first milestone (good target)

In ~a few sessions, aim to produce:

a list of the key UUIDs (services/characteristics),
a description like:
- “Write X to char A triggers sync”
- “Char B notifies chunks; first chunk includes length + session ID”
- “Phone acks every N chunks on char C”

That’s enough to start building your own sync client for your own data.

If you tell me Android or iPhone, I’ll tailor the exact “first capture” steps and what to look for in the trace (Android is dramatically easier for this).