Raspberry Pi presented its latest Compute Module 5 (CM5) at Embedded World 2025, highlighting significant enhancements over the Compute Module 4. The CM5 offers double the performance through updated hardware and incorporates additional peripherals, providing improved flexibility for diverse applications. Raspberry Pi also displayed a dedicated Compute Module I/O board designed specifically for seamless integration with the CM5, encouraging developers to build custom I/O boards tailored to their specific requirements. More details are available at https://www.raspberrypi.com.
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Synaptics is my Embedded World 2025 video coverage sponsor, check out my Synaptics videos here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvhAbQoe9YN4c84SqXxIY3fQ
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In addition, Raspberry Pi showcased its advanced AI imaging solutions, prominently featuring the Sony IMX500 sensor-based AI cameras. These cameras integrate AI processing directly on-chip, enabling real-time applications such as person counting and object classification without external processing units. The demonstrated products highlighted edge-based AI acceleration, significantly optimizing resource usage and enhancing privacy by processing data locally.
Another key feature introduced was the AI Hat Plus equipped with a Hailo AI accelerator, specifically compatible with the Raspberry Pi 5. This solution significantly enhances machine-learning capabilities, including facial recognition, and can utilize various camera inputs, ranging from official Raspberry Pi camera modules to standard USB webcams. The demonstration at the booth included live facial recognition with instant identification using locally trained data.
The Raspberry Pi booth further emphasized real-world applications, featuring various partner implementations utilizing Raspberry Pi hardware for industrial and commercial environments. These included robust industrial solutions like the Revolution Pi, known for its reliability in demanding conditions. Additionally, practical deployments such as digital signage systems demonstrated Raspberry Pi’s adaptability and widespread acceptance in diverse industry segments.
Despite a technical issue preventing live demonstrations, Raspberry Pi also planned to highlight their microcontroller offerings. These microcontrollers aim to complement their existing product lineup by addressing low-power, cost-effective applications where full-fledged computers would be excessive. Raspberry Pi continues its mission of enabling efficient solutions across embedded computing scenarios, from edge computing to complex AI-driven tasks.
The integration of Sony IMX500 image sensors into Raspberry Pi’s AI products underscores their push towards embedded vision applications, particularly for edge inference. The IMX500 cameras execute both image sensing and AI inference entirely on-chip, enabling efficient applications such as smart surveillance, retail analytics, and automated person counting without external processing overhead.
Industrial partners also prominently featured Raspberry Pi-based solutions at the event, reflecting the ecosystem’s maturity and Raspberry Pi’s strong foothold in industrial contexts. These partnerships underline a significant shift toward deploying Raspberry Pi hardware beyond educational and hobbyist sectors, emphasizing robust, scalable industrial applications where reliability, affordability, and flexibility are paramount.
Overall, Raspberry Pi’s presentation at Embedded World 2025 emphasized its strategic focus on AI acceleration, performance improvement, and versatility, aiming to extend the capabilities and appeal of their hardware solutions across professional and industrial applications. The introduction of specialized hardware like the Hailo accelerator alongside the Compute Module 5 reflects Raspberry Pi’s continued evolution to meet increasingly complex technical demands.
Check out all my Embedded World 2025 videos in this playlist: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga
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