Month: May 2024

Raspberry Pi Programming 2024/2 – IPG Sultan Mizan

*UMP STEM Lab Raspberry Pi Programming Synopsis can be found here.

In the Raspberry Pi IoT session, 38 students and lecturers from Institut Perguruan Sultan Mizan, Terengganu were introduced to the concept of the Internet of Things (IoT) using Raspberry Pi on the UMP STEM Cube, a pico-satellite learning kit specifically designed to facilitate engineering learning.

The content covered basic digital input/output operations on onboard LEDs, as well as topics such as dashboard design using gyrometer and BMU280 sensor data, including collecting and storing data in a cloud database. Participants learned to interface sensors with Raspberry Pi boards and develop IoT applications for real-world scenarios. The session provided students with valuable insights into IoT technology and its applications in various domains.

A special appreciation is extended to Dr Hazlina Binti Awang Lah for coordination in facilitating communication between the participants and the UMP STEM Lab.

May 31st, 2024

  

BTE1522 Innovation – Week 12 – SSH and Data Visualisation

Today we explored SSH (Secure Shell) and data visualization using the Raspberry Pi platform. This is the final session before students embark on their final projects, providing them with essential skills in remote control and data acquisition.

SSH Connection with Raspberry Pi – We began by establishing an SSH connection to our Raspberry Pi using Putty, a widely-used SSH client. Through SSH, students learned how to remotely control their Raspberry Pi from their local machines, enabling seamless interaction with the Pi’s command-line interface. Navigational commands such as cd, ls, pwd, and mkdir were explored, empowering students to navigate the file system, create directories, and manage files effortlessly.

Data Visualization with Adafruit and BME280 -The session also featured a demonstration of data visualization using the Adafruit platform and the BME280 sensor. Students gained hands-on experience in acquiring environmental data such as temperature, humidity, and pressure using the BME280 sensor, a vital component for IoT (Internet of Things) applications. By visualizing this data, students could better understand real-world applications of sensor data and its significance in various projects.

Remote Python Program Execution -A key highlight of today’s activities was the execution of Python programs remotely via SSH. Students learned how to run Python scripts on their Raspberry Pi from their local machines, enabling them to execute code, perform data analysis, and control hardware components without direct physical access to the Pi. Commands such as nano for text editing and cat for displaying file contents further enriched their understanding of remote file management.

Exploring System Information:
To wrap up the session, we delved into exploring system information commands such as uname -a, df -h, and free -h. These commands provided insights into system specifications, disk space usage, and memory utilization, essential for monitoring and optimizing Raspberry Pi performance.

I look forward to the upcoming project phase, I am confident you  are well-prepared to could apply their this knowledge and skills in developing innovative Raspberry Pi-based solutions.

Nurul

May 24th