Smart Acoustic Booth Automation System - Case Study

This case study outlines the engineering lifecycle of an integrated environmental automation and monitoring system designed for commercial acoustic office booths. Localized, soundproofed environments present specific engineering challenges, particularly regarding rapid carbon dioxide accumulation, ambient climate control, and localized user interaction.

The following document details our technical approach, hardware and firmware stack selection, and the five-stage phased roadmap utilized to transition this project from initial component benchmarking into a production-ready, custom PCB blueprint.

Project Context

The client required a comprehensive environmental automation and monitoring system tailored specifically for isolated office acoustic booths. The core objective was to integrate precise environmental tracking, including presence detection, carbon dioxide leveling, and ambient light monitoring, into the booth’s structural ecosystem.

To satisfy strict latency-sensitive performance parameters, the system architecture demanded a deterministic microcontroller to orchestrate the immediate sensory and actuator feedback loops. This real-time hardware tier was designed to interface with a single-board computer (SBC) or secondary microcontroller hosting a touch-enabled Human-Machine Interface (HMI), providing users with localized environment controls while pipelining telemetry data out to cloud infrastructures.

Smart Acoustic Booth Automation System from WizzDev
Smart Acoustic Booth Automation System from WizzDev

Project Context

The client required a comprehensive environmental automation and monitoring system tailored specifically for isolated office acoustic booths. The core objective was to integrate precise environmental tracking, including presence detection, carbon dioxide leveling, and ambient light monitoring, into the booth’s structural ecosystem.

To satisfy strict latency-sensitive performance parameters, the system architecture demanded a deterministic microcontroller to orchestrate the immediate sensory and actuator feedback loops. This real-time hardware tier was designed to interface with a single-board computer (SBC) or secondary microcontroller hosting a touch-enabled Human-Machine Interface (HMI), providing users with localized environment controls while pipelining telemetry data out to cloud infrastructures.

Solution Overview

The engineering lifecycle was organized into a five-stage phased roadmap to systematically mitigate development risks through progressive prototyping:

Phase 1: Research & Component Benchmarking

Engineers conducted deep specifications analysis to benchmark sensor variations, specifically prioritizing reliable presence detection inside tight enclosures. This phase finalized the development infrastructure setup, repository provisioning, and initialization of task management boards.

Phase 2: Sensor & Actuator Proof of Concept (PoC)

A hardware-in-the-loop “wired” prototype was built to isolate and validate the underlying environmental control logic. Crucial business logic automated during this stage included:

  • Activating booth lights instantly upon occupancy detection, capped at a maximum safety runtime of 12 hours.
  • Modulating fan extraction speeds dynamically based on current CO2 concentration steps.
  • Enforcing a post-occupancy air clearing cycle that runs ventilation for a designated duration after a user leaves the booth.

Phase 3: HMI & Touch Control PoC

This phase bridged the gap between automated logic and manual overrides. Engineers integrated the touch-screen panel to capture user inputs, creating responsive widgets to display live air quality metrics and manually trim fan intensity or ambient brightness.

Phase 4: Custom PCB design & system integration

Transitioned the validated PoC wiring schemas into a commercial-grade, multi-revision custom PCB layout. This milestone consolidated all separate sensor daughterboards onto a clean unified board and validated systemic behavior using continuous integration testing.

Phase 5: Cloud ecosystem synchronization

Configured the data gateway endpoints to sync edge node parameters with cloud infrastructure, introducing advanced features like corporate calendar synchronization for room booking optimization.

Hardware Stack

Dedicated central PCB utilizing a deterministic microcontroller (e.g., STM32G0 devkit framework)
Scalable display module configured with a touchscreen interface, evaluating either an advanced Single-Board Computer (SBC like Raspberry Pi) for rich 10-inch DSI animations or an efficient microcontroller driving a compact 3.5-inch SPI panel.
Air Quality Sensing: SCD40 photoacoustic CO2 sensor module.
Occupancy & Presence Tracking: High-precision 24GHz mmWave radar sensors (e.g., MR24BSD1 sleep/presence monitor) paired with back-up Time-of-Flight (ToF) laser range sensors.
Power Subsystem: 12V DC main input regulated via an on-board power converter matrix.

Firmware Stack

Core Controller Firmware written in C/C++ to implement bare-metal or RTOS-level deterministic control algorithms.

Cloud Gateway Layer: Telemetry ingestion pipelines designed to transmit edge sensor metrics to centralized cloud storage and external calendars.

Device Driver & Communication Layer: Native implementation of UART, SPI, I2C, and DSI protocols mapping communication between sensors, actuators, and display components.

Time Estimate

The total estimated engineering timeline for the implementation of the core automation layers spans 310 to 564 hours (excluding Phase 5 cloud features):

Milestone Min   h Max   h
Phase 1: Initial Preparations & Specification Selection
20
36
Phase 2: Sensor & Actuator Proof of Concept (PoC)
100
160
Phase 3: Touch Screen Control Proof of Concept (PoC)
110
180
Phase 4: Custom PCB Design & System Integration
80
190
Phase 5: Cloud & Calendar Integration
To be determined
To be determined

Total estimated time

310
564

Book a meeting!

We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.