TL;DR Key Takeaways : The Raspberry Pi AI HAT, combined with YOLO models, enables real-time object detection, counting, and positional tracking for applications like security and automation.

Raspberry Pi and Hailo have shared a few of the demo applications that makers will be able to use with the kit. The first feature they showcased was object detection.

The project uses Raspberry Pi's AI object detection functionality, which you'll need to configure so that it only looks for relevant objects, like cars, buses, and people.

Available from the official Raspberry Pi store with a choice of C/CS mount or M12 mount depending on your needs. – Sony IMX477R stacked, back-illuminated sensor, 12.3 megapixels, 7.9 mm sensor ...

His object recognition software runs on a Raspberry Pi equipped with a webcam, and also makes use of Open CV. [Evan] ... 11 thoughts on “ Object Detection, With TensorFlow ” ...

Including MobileNet-SSD object detection using the Raspberry Pi and the NCS2. https: ... On that, here’s an example of stereo-vision + object detection on the Pi: https: ...

For example, youll need an OS pre-installed on your Raspberry Pi. Ive put together this guide using the GUI version of Raspberry Pi OS, but you can just as easily use the CLI variant or even an ...

Raspberry Pi, the company that sells tiny, cheap, single-board computers, is releasing an add-on that is going to open up several use cases — and yes, because it’s 2024, there’s an AI angle.

Home Assistant is the beating heart of my smart home setup. I run it on a Raspberry Pi 5 with a fast M.2 NVMe SSD, and it handles everything from basic light controls to more complex motion-based ...

Croatia-based engineer Igor Brkić has built a Raspberry Pi-based handheld laptop in a 3D-printed enclosure that's become an object of envy among a hacker crowd that's spoilt for choice when it ...