Project

# Title Team Members TA Documents Sponsor
27 Kombucha Fermentation Control System
Edwin Xiao
John Puthiaparambil
Rudy Beauchesne
Haocheng Bill Yang
# Kombucha Fermentation Control System

Team Members:
- Rudy Beauchesne (rudyb2)
- John Puthiaparambil (jtp7)
- Edwin Xiao (edwinyx2)

# Problem
Home kombucha brewing is becoming increasingly popular, but most options fall into two extremes: expensive commercial systems with automated control, or low-cost DIY methods that depend on frequent manual checks and guesswork. As a result, home brews are often inconsistent from batch to batch, with fermentation running too slow or too fast, acidity drifting outside the desired range, or the process stalling without clear feedback. This unpredictability can lead to inconsistent flavor and, in the worst case, failed or spoiled batches. There is a need for a low-cost, repeatable kombucha brewing system that continuously monitors key conditions like temperature and pH and provides clear, reliable feedback with minimal user intervention.

# Solution
We propose a low-cost, closed-loop kombucha brewing system designed to make home fermentation more consistent and repeatable. A microcontroller on a custom PCB continuously reads temperature, pH, RGB color, ultrasonic liquid level, and pressure sensors to track fermentation conditions and progress. Using these measurements, the system controls a heating pad to regulate temperature and peristaltic pumps to add fresh tea or remove liquid as needed based on user-defined targets. If feasible within budget, the system will also include a small optional aeration pump (air pump + sterile filter) for primary fermentation to provide controlled aeration during primary fermentation. A companion companion app dashboard (web-based) displays real-time status and logs trends over time so users can monitor brewing without constant manual checking.

# Solution Components
Subsystem 1: Fermentation Monitoring & Control

This subsystem monitors the primary fermentation conditions and regulates temperature to keep the brew in a stable range.

Functionality:
- Continuously measure temperature, pH, and color trends during F1
- Drive a heating pad to maintain a user-defined temperature setpoint and control pumps for automated liquid handling
- Send sensor data to the main controller for closed-loop control and logging

Sensors / Components:

- Temperature sensor: DS18B20
- Ultrasonic liquid-level sensor: HC-SR04 measures the brew height/volume to detect evaporation and prevent overfilling/underfilling during pump-based tea additions or liquid removal
- pH Sensor: Analog pH probe + signal conditioning (PH-4502C module or equivalent front-end)
- RGB Color Sensor: TCS34725
- Heating Element: Resistive heating pad controlled via MOSFET
- Peristaltic pump(s): 12 V peristaltic pump (food-safe tubing)
- Microcontroller: ESP32

Subsystem 2: Fermentation State & Safety Monitoring

This subsystem monitors secondary fermentation indicators and system safety.

Functionality:
- Measure internal pressure buildup during fermentation
- Detect abnormal fermentation conditions (overpressure or stalled fermentation)
- Provide safety cutoffs and alerts if thresholds are exceeded

Sensors / Components:
- Pressure Sensor: MPX5700AP or equivalent pressure transducer
- Signal Conditioning Circuit: Instrumentation amplifier and filtering
- Safety Cutoff: Relay or solid-state switch for heater disable
- Status Indicators: LEDs for system state and fault indication

Subsystem 3: Data Logging & Web Interface
This subsystem provides real-time data logging and user visibility through a web-based dashboard.
Functionality:
- Transmit sensor data (temperature, pH, color, pressure) to a web server
- Log historical fermentation data for later analysis
- Display real-time plots and system status via a browser-based interface

Sensors / Components:
- Wireless Interface: ESP32 integrated Wi-Fi
- Backend: Lightweight web server or cloud-hosted database (e.g., HTTP/MQTT-based logging)
- Frontend: Web dashboard displaying time-series sensor data and system state

Subsystem 4: Power Management

This subsystem provides regulated and reliable power to all system components.

Functionality:
- Supply 12 V power to the heating pad and pumps
- Step down 12 V to 3.3 V for logic and sensors
- Isolate high-power and low-power domains for safety and noise reduction

Sensors / Components:
- Power Source: 12 V wall adapter
- Regulation: DC-DC buck converter (12 V → 3.3 V)
- Loads: Heating pad, pumps, ESP32, and sensors

Criterion For Success:
- Maintain fermentation temperature within ±1°C of the target setpoint for a continuous 48-hour period
- Measure pH with ≥0.1 pH resolution and maintain ±0.2 pH accuracy after calibration
- Detect and log measurable color changes correlated with fermentation progression
- Maintain safe operating pressure below a defined threshold and trigger a shutdown if exceeded
- For the final demo, we will start from a deliberately off-condition brew (ice-cooled and pH shifted away from target) and show the system autonomously returning temperature and pH to a reasonable kombucha range using the heating pad and peristaltic pumps while logging and plotting all sensor trends live in the app

This project involves significant circuit-level hardware design, including sensor signal conditioning, power management, actuator control, and embedded system integration. The scope and complexity are appropriate for a multi-person team and align with the course requirements.

Backpack Buddy - Wearable Proximity/Incident Detection for Nighttime Safety

Jeric Cuasay, Emily Grob, Rahul Kajjam

Backpack Buddy - Wearable Proximity/Incident Detection for Nighttime Safety

Featured Project

# Backpack Buddy

Team Members:

- Student 1 (cuasay2)

- Student 2 (rkajjam2)

- Student 3 (eegrob2)

# Problem

The UIUC campus is relatively a safe place. We have emergency buttons throughout campus and security personnel available regularly. However, crime still occurs and affects students walking alone, especially at night. Staying up late at night working in a classroom or other building can lead to a long scary walk home. Especially when the weather is colder, the streets are generally less populated and walking home at night can feel more dangerous due to the isolation.

# Solution

A wearable system that uses night vision camera sensor and machine learning/intelligence image processing techniques to detect pedestrians approaching the user at an abnormal speed or angle that may be out of sight. The system would vibrate to alert them to look around and check their surroundings.

# Solution Components

## Subsystem 1 - Processing

Processing

Broadcom BCM2711 SoC with a 64-bit quad-core ARM Cortex-A72 processor or potentially an internal microprocessor such as the LPC15xx series for image processing and voltage step-down to various sensors and actuators

## Subsystem 2 - Power

Power

Converts external battery power to required voltage demands of on-system chips

## Subsystem 3 - Sensors

Sensors

Camera - Night Vision Camera Adjustable-Focus Module 5MP OV5647 to detect objects in the dark

Proximity sensor - detects obstacle distance before turning camera on, potentially ultrasonic or passive infrared sensors such as the HC-SR04

Haptic feedback - Vibrating Mini Motor Disc [ADA1201] to alert user something was identified

# Criterion For Success

The Backpack Buddy will provide an image based solution for identifying any imposing figure within the user's blind spots to help ensure the safety of our user. Our solution is unique as there currently no wearable visual monitoring solutions for night-time safety.

potential stuff:

Potentially: GNSS for location tracking, light sensor for outdoors identification, and heartbeat for user stress levels

camera stabilization

heat camera

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