Week 5 progress – discussion on the progress of respective Final Year Project 2 (FYP2), Project Semester Akhir Diploma (PSAD) and Senior Design Project 1 (SDP1). These projects revolve around UMP STEM Cube and STEM Bot initiatives, focusing on diverse areas ranging from designing custom antennas with circular polarity, developing inter-canSat communication systems to detection system for ripeness of palm fruit.
Overall, the meeting reflected positive strides and promising developments across all projects. A brief overview of these project
Designing Custom Antenna with Circular Polarity: to enhancing antenna design for improved signal reception and transmission in UMP STEM Cube projects. It involves to optimize circular polarized antennas to ensure robust communication capabilities.
Indoor Navigation: to develop an indoor navigation systems for STEM Bot applications. This include making use of LIDAR / AI camera sensor fusion techniques and algorithms to enable precise localization and mapping within indoor environments.
Human-Machine Interaction with Miniature Robot: to enhance human-machine interaction with miniature robots. This include developing intuitive control interfaces via voice and integrating gesture recognition technology to enable seamless interaction between users and robots.
CanSat for Environmental Monitoring: to deploy CanSat devices for environmental monitoring purposes. The team provided updates on sensor integration, data acquisition methods, and preliminary testing of the CanSat prototype.
Dashboard Development: to develop a comprehensive dashboard for monitoring and controlling various aspects of UMP STEM Cube and STEM Bot projects. They showcased their progress in designing user-friendly interfaces and implementing real-time data visualization features.
IntercanSat Communication Systems: to establish a communication systems between CanSat devices. They discussed their work on developing reliable communication protocols and testing the interoperability of communication modules.
Ripeness Detection of Palm Fruit: to detect the ripeness of palm fruit. This include sensor technologies, data analysis methods, and field testing protocols for accurately determining fruit ripeness.
These project involves advancing UMP STEM Cube and STEM Bot projects, as well as the innovative contributions to the agricultural technology. Their collaborative efforts are poised to make significant contributions to robotics, STEM education, environmental monitoring, and agricultural innovation. We look forward to witnessing further progress and success in the coming weeks.
