Raspberry Pi AI camera kit, 15.6" monitor, M.2 HAT+ M Key board, reactions by Ronald Vuillemin

At the Embedded World 2024 conference, the Raspberry Pi team unveiled a series of exciting new products, including an AI camera kit, a 15.6-inch monitor, and an M.2 HAT+ M Key board. These products have been designed to enhance the capabilities of the Raspberry Pi ecosystem, offering new opportunities for innovation and creativity.
The Raspberry Pi AI camera kit is a collaboration between Raspberry Pi and Sony, featuring a Raspberry Pi Zero 2 W and a Sony IMX500 AI sensor. This kit enables on-device AI processing, allowing users to perform object recognition and other computer vision tasks at 30 frames per second. With a 12-megapixel resolution and a 76-degree field of view, the camera module is suitable for a wide range of applications. The inclusion of the Sony IMX500 sensor allows for the offloading of computational effort from the host device, making it possible to pair the camera with low-power devices like the Raspberry Pi Zero 2 W without compromising performance.
The long-awaited M.2 HAT+ M Key board provides high-speed storage for the Raspberry Pi 5, leveraging the PCIe connection for NVMe SSD storage. This addition is expected to significantly improve performance and expand the storage capacity of Raspberry Pi projects, allowing users to work with large datasets and run applications more efficiently. The M.2 HAT+ M Key board is a much-anticipated product, especially following the release of the Raspberry Pi 5 in 2023.
In addition to the AI camera kit and the M.2 HAT+ M Key board, the Raspberry Pi team showcased a 15.6-inch monitor designed to work with the Raspberry Pi range. This monitor features a 1080p resolution at 60 Hz, built-in speakers, and a 3.5mm headphone jack. While not intended for gaming, the monitor is well-suited for projects that require a larger display, such as coding, digital art, and video editing. The monitor is an excellent addition to the Raspberry Pi ecosystem, providing users with a more versatile and immersive experience.
The introduction of these new products at Embedded World 2024 highlights the ongoing commitment of Raspberry Pi to providing accessible and powerful tools for makers, educators, and developers. The 60 million Raspberry Pi boards sold worldwide have already had a tremendous impact across various industries, from education and home automation to industrial applications. The Raspberry Pi ecosystem continues to grow, with a vibrant community of developers and enthusiasts contributing to its success.
With the introduction of these new products, Raspberry Pi is poised to further revolutionize the way people use AI, computer vision, and storage in their projects. Whether it's enhancing home security systems, automating industrial processes, or creating interactive art installations, the possibilities are endless. As the Raspberry Pi ecosystem continues to expand, users can expect even more innovative and accessible technology to be developed and released in the future.
Description by Grok.
Watch all my videos from the Embedded World 2024 here: • Embedded World
This video was filmed using the DJI Pocket 3 ($669 at amzn.to/4aMpKIC ), watch all my DJI Pocket 3 videos here • Filmed with DJI Pocket 3
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[@raspberrypi]

It's our Simon!

[@Nobody-Nowhere]

You are only 60% persons.. a bit sus i would say.

[@SashiOno]

latency measurement is .2 sec if anyone else was trying to validate the measure it, I'll save you the time :)

[@simonmartin4599]

I'm really hoiping this camera will be good for robotic vision projects that need to react quickly.

[@dinoscheidt]

At 5 frame per second (a video is at 30, a video game at 60 fps) quickly would be a bit a strong wish. There is a reason why NVIDIA jetson modules are so expensive.

[@simonmartin4599]

@@dinoscheidt Latency is different to frame rate. Latency is 0.2s. Frame rate is 30fps. In other words. Latency is 6 frames of video. These 6 frames are; 1. camera capture, 2. CNN infernece, 3. send image to computer, 4. process image in computer, 5. Computer send frame to TV over HDMI, 6, TV wait for scan to go to top of screen and update LCD. Its arguably only 3 frames to get the computer to react to the inference and action a roboting arm. i.e. 0.1s

[@Gerald-iz7mv]

do you have a link to the Raspberry Pi AI camera kit ?