AI AGENTS + AUTOMATION + CONNECTED PRODUCTSSanta Monica, CA · Islamabad · Clients worldwide ENESPTAR
Wearables

Assistive smart glasses

Head-movement input for interacting with computers and mobile devices through a Bluetooth-connected wearable.

nRF52832MPU92504-layer PCB
Assistive smart glasses — supplied project visualization

The project

Provide an alternative input method for people with limited hand mobility while keeping the hardware compact.

Product highlights

  • MPU9250 motion sensing for head-movement input.
  • BMD300 / nRF52832 Bluetooth module and interrupt-driven firmware.
  • Compact four-layer PCB and battery-management integration.

How we approached it

For a battery-powered Bluetooth product like the Assistive smart glasses, the power budget shapes every decision. We plan how often the radio wakes, which sensors sample and how fast, and which sleep states the nRF52832, MPU9250, 4-layer PCB hardware can use between events.

The Bluetooth interface is designed together with the companion app: which data is streamed, which is read on demand, and how settings and alerts flow back to the device. Over-the-air updates are planned from the first build so field units can be fixed without a cable. See our nRF52 vs ESP32 guide for the platform trade-offs.

Technology at a glance

DisciplineWearables
Key technologynRF52832, MPU9250, 4-layer PCB
Type of workBluetooth wearable or sensor

Questions about this project

What technology did SixSol use for Assistive smart glasses?

The project used nRF52832, MPU9250, 4-layer PCB. MPU9250 motion sensing for head-movement input.

Can SixSol build a similar Bluetooth wearable or sensor?

Yes. Share your goal, any existing hardware or code, and the constraints you know. We start with a scoped first milestone and a working build. Learn more about our embedded firmware service.

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