Smart Chemical Emission Navigation Tracker (SCENT)

  • Design an IoT platform with mini robotic cars equipped with gas sensors to detect gas leaks and map spatial distribution in laboratories for safe and sustainable operations.

Vertically Integrated Projects
Molecule-like design in shades of blue and green with SCENT in the center

The Smart Chemical Emission Navigation Tracker (SCENT) team focuses on developing a system for real-time monitoring and localization of chemical emissions (alcohol, carbon footprint, etc) in small-scale indoor industrial, university lab, or research and development settings. By integrating selected gas detection sensors, IoT technology, AI-driven data analytics, and engineering design principles, SCENT aims to detect and localize emissions efficiently. Unlike fixed sensor systems typically used in labs or costly mobile gas detection platforms designed for large-scale industrial environments, our solution fills a unique market gap. This project provides a cost-effective and adaptable approach, allowing for diverse sensor use across various environments. Joining SCENT offers students hands-on experience in sensor integration, IoT, data analysis, and system development, preparing them for impactful careers in environmental sustainability and emission control.

Methods & Technologies

  • Chemical Emission Detection
  • Simultaneous Localization and Mapping (SLAM)
  • Autonomous Navigation
  • Robot Operating System (ROS)
  • Edge Computing (Nvidia Jetson Orin, Arduino, RaspberryPi, etc)
  • Internet of Things (IoT) Technology
  • Objective Detection
  • Deep Learning and Large Language Model (LLM)
  • Data Storage and Cloud Integration

Areas of Interest

  • Chemical and Biomolecular Engineering
  • Civil and Urban Engineering
  • Computer Science
  • Electrical and Computer Engineering
  • Management of Technology
  • Mechanical Engineering
  • Robotics

Subteams

  • Team1 :Gas Emission and Diffusion Modeling
  • Team2: Edge computing and IoT Network Development (Software)
  • Team3: Smart Cars and ROS (Hardware)
  • Team 4: Project Management

Partners

  • MathWorks
  • Sustainable Engineering Initiative
  • CBE Unit Operation Lab

Apply to SCENT here

Faculty Advisor