Smart Headphones for Personal Safety

The embedded system based on the Google voice recognition technology actively listens to the surrounding environment and interprets the situation for the user.

Intelligent headphones are equipped with four microphones that can actively suppress surrounding noise and measure the noise level inside the headphones. Measurement of the noise inside the headphones is a safety feature that ensures that the worker is not exposed to a damaging noise level.

Smart Headphones for Personal Safety

Our Task and Challenge

Compact Size and Extended Battery Lifetime

The main task was to equip the existing headphones with an embedded system capable of running the Google Voice recognition kit and ensure that the product could run the whole working shift.

The system was designed as a demonstrator to evaluate the possibilities of technologies based on Artificial Intelligence (AI).

Solution

Artificial Intelligence Allows Rapid Adoption in the Environment

A system based on the Google voice recognition technology actively listens to the surrounding environment and interprets the activity for the user. For example, the user might set the noise suppression to such a level that he cannot hear the fire alarm or notification siren from a broken machine. The headphones detect these signals and inform the user in a human voice about the event.

Consilia designed hardware with the i.MX7 processor and battery solution that was embedded into the existing headphones. Then, we handed over the platform to our partner, eMan, who ported the Google Voice recognition package into the processor.

The biggest challenges we had to overcome were thermal management when the headphones were being charged and the space constraints given by the existing enclosure.

Business Value

Enhanced User Experience

These headphones are one of just a few types of headphones that implement not only active noise suppression but also artificial intelligence (AI) technologies that enhances user experience.

The hardware design focuses on scalability and power consumption so that it can balance the battery lifetime and computing power finely.

How It Is Made

Small Computer with Extensive Performance

After discussing it with the customer, we used NXP i.MX7 Dual Processor with 4GB eMMC and 512 MB DDR3. As it is a common standard today, the SOM (System on Module) is also fitted with interfaces like WiFi – 802.11 ac and Bluetooth.

Audio interfaces (microphones, speakers) are connected to a standard audio chipset.

Client

World Leader Producing Personal Safety Equipment

Our client provides products, software, and connected solutions that improve productivity, workplace safety, and asset performance for their customers across the globe.

Implementation period: 2018—

We designed the product in 2018, including hardware and software integration.

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