Smart Chemical Emission Navigation Tracker (SCENT) Launching Spring '25
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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.
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