Multi-sensor and AI Embedded IoT Platform for R&D Lab Management Enhancement
Project Description
Managing the R&D lab is tedious and inefficient for both students and technicians. Chemicals and Consumables are time-sensitive, and tracking their storage condition and purchasing them timely is nearly impossible.
Based on Multi-sensing technologies, we build an ecosystem that utilizes AIOT to automatically track and manage the R&D labs to solve these pain points. The smart system can optimize chemical usage and facilitate productivity in the lab.
Based on Multi-sensing technologies, we build an ecosystem that utilizes AIOT to automatically track and manage the R&D labs to solve these pain points. The smart system can optimize chemical usage and facilitate productivity in the lab.
Supervisor
XIANG, Changying
Quota
5
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP3200
UROP4100
Applicant's Roles
This project needs 3-5 students to implement.
1 student is in charge of market investigation of the pain points, and current products/prototypes, then form own ideas with the team.
2 student are required to realize and improve the design and the app development with the team.
2 students are required to implement and evaluate the prototype together with the team.
1 student is in charge of market investigation of the pain points, and current products/prototypes, then form own ideas with the team.
2 student are required to realize and improve the design and the app development with the team.
2 students are required to implement and evaluate the prototype together with the team.
Applicant's Learning Objectives
Applicant's Learning Objectives
• Study the Internet of Things (IoT) development, the working principle of RFID, Bluetooth and related applications. Construct the prototype to realize the data sensing, digitization, and communication.
• Seek the potential place on campus to deploy the prototype, such as volunteer faculty’s laboratories and university apartments with prior permission from related PI or departments.
• Deploy and attempt the prototypes in the targeting places. Data collection and analysis.
• Study the Internet of Things (IoT) development, the working principle of RFID, Bluetooth and related applications. Construct the prototype to realize the data sensing, digitization, and communication.
• Seek the potential place on campus to deploy the prototype, such as volunteer faculty’s laboratories and university apartments with prior permission from related PI or departments.
• Deploy and attempt the prototypes in the targeting places. Data collection and analysis.
Complexity of the project
Moderate