Explore the Raspberry Pi AI Kit
For enthusiasts eager to delve into the world of neural networks, artificial intelligence, and machine learning on the Raspberry Pi 5, the Raspberry Pi AI Kit offers a perfect solution. Developed in collaboration with Hailo, this kit integrates local, high-performance, and power-efficient inferencing into a wide variety of applications.
Components of the Raspberry Pi AI Kit
The kit includes the M.2 HAT+ preassembled with a Hailo-8L AI accelerator module. When installed on a Raspberry Pi 5, it allows users to rapidly build complex AI vision applications that run in real-time with low latency and low power consumption. The Hailo-8L co-processor handles state-of-the-art neural networks for object detection, semantic and instance segmentation, pose estimation, and facial landmarking, freeing up the Raspberry Pi 5 CPU for other tasks.
Key Features
• 13 tera-operations per second (TOPS) of inferencing performance
• Single-lane PCIe 3.0 connection running at 8Gbps
• Full integration with the Raspberry Pi image software subsystem
• Compatibility with both first-party and third-party cameras
• Efficient hardware scheduling: Capable of running multiple neural networks on a single camera or multiple cameras simultaneously.Extensive Model Zoo
Hailo has developed a comprehensive model zoo, offering a wide variety of pre-trained neural network models. These models are optimized to run on the AI Kit, making it easier for users to deploy them in their projects.
Simplified Software Integration
Integrating the camera subsystem with the AI framework can be challenging, but this process has been streamlined. The rpicam-apps suite now includes a post-processing template for real-time neural network inferencing within the camera pipeline. Utilizing the pre-installed Hailo Tappas post-processing libraries allows for the creation of advanced AI-based applications with minimal code. Integration with the Picamera2 framework is also in progress.
Easy Software Installation
Setting up the software is straightforward. By installing a few packages through apt and rebooting, users can start experimenting with AI demos within minutes. Detailed instructions are available in the getting started guide. Some demos available with rpicam-apps include:
• Object Recognition: Effective even with moving traffic.
• Pose Estimation: Detailed and casual analysis.
• Object Recognition: Identifies items like the lemon Coke bottle.
• Subject Segmentation: Differentiates between an engineer and a desk plant.Versatile Application
The Raspberry Pi AI Kit supports more than just rpicam-apps or Picamera2. An API integrated into the GStreamer framework and native support for Python or C/C++ applications expands its use to non-camera applications, such as running inference on pre-recorded video files.
Additional Resources
• Documentation: Comprehensive documentation is available to help users get started.
• Technical Specifications: Full details on the Hailo-8L AI accelerator module can be found on Hailo’s product page.
• Community Forum: Hailo’s community forum is a great place for discussing the Hailo-8L AI accelerator hardware and software tooling.For those ready to explore advanced AI capabilities on the Raspberry Pi 5, the Raspberry Pi AI Kit provides a robust platform to get started.