Noise pollution machine

Noise pollution machine is a project made as part of an internship within Axance agency. It’s the first concept created after the launch of our innovation hub iDFarm [ here IDFarm].

We were two people on this project: Antoine Monti (UX/UI designer within Axance) and myself. We had to develop three concepts and present their searching values and goal. We started to think about possibilities of connected objects (existing and imaginary) and feelings about community. The goal, according to Akemi’s brief, was to improve relationships within an agency and making people more comfortable in the open space [see the related project on the work environment gamification]. We definitively wanted an easy-to-reach and easy-to-transport product that could tell whether people is speaking too loud or not.

We included different functions like sound sensor and temperature sensor to give product multiple uses. We tested some other components (servomotor, buzzer, etc…) to familiarise ourselves with Arduino coding.

This connected object includes a sound sensor with LED that shows the different sounds and a temperature level in the room.

Using the Arduino system, the project splits into several steps: Researching, coding, wiring and prototyping.

Coding was pretty easy, as I only assigned inputs and outputs to the system to get the best result we can have. I then assigned noise sensor values to turned on LED according to noise sensor thresholds.

Wiring and testing were the most complicated tasks, as some wires of the starter kit Arduino were not very simple to connect.

Concerning design, we decided to build something easy and refine later. We opted for a simple hexagonal box; inspired by JBL and BEAT speakers. The module lays flat on the table.

What happens next? We can imagine several improvements: connecting Raspberry PI, creating a dashboard or/and data visualisation… the possibilities are endless!