Today’s class in BTE1522 was packed with hands-on activities that introduced students to real-world applications of Raspberry Pi 4, focusing on camera integration and project development. The session was divided into two key sections, each playing an important role in reinforcing both technical knowledge and project-based learning.
Section 1: Raspberry Pi Camera Module – From Capture to Streaming
The first half of the class focused on working with the Raspberry Pi camera module, a fundamental tool in the world of image processing and artificial intelligence. Students learned:
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How to capture still images using Python and Raspberry Pi’s built-in libraries.
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How to initiate video streaming using the PiCamera and OpenCV, preparing them for real-time image processing applications.
These activities are not just about capturing visuals—they serve as a gateway to advanced applications like image classification, object detection, and AI-based recognition systems.
This reminded me to a project from a previous semester, where one of our students successfully developed an image detection system using the same setup. The project was able to identify a variety of items like books, pencils, and even human figures—an impressive feat for a class-based project!
Today’s session laid the groundwork for such possibilities, and we’re excited to see how current students might push the boundaries even further.
Section 2: Project Development Begins
The second part of the session shifted focus toward the students’ individual and group projects. This semester, we’ve offered 9 project titles, each designed to challenge students to apply what they’ve learned across programming, electronics, and embedded systems.
During this session, students –
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Began structuring their project workflow.
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Identified the core components and sensors required.
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Discussed functional requirements and potential integration challenges.
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Started early-stage coding and circuit prototyping.
This segment highlighted the importance of hands-on learning, collaborative teamwork, and practical application of theory.
Today’s class was not just about technical instruction—it was about igniting curiosity and innovation. Whether it’s capturing a simple image or streaming live video, each activity builds toward something bigger. Combined with project-based learning, students are not just coding—they’re creating, solving problems, and applying technology in meaningful ways.
Looking forward to seeing how each of the nine projects evolve over the coming weeks. As always, proud of the effort and enthusiasm shown by everyone in class today.
