Hardware manufacturer XaLogic has created a Raspberry Pi machine learning HAT in the form of the Kendryte K210 based PI AI Hat equipped with the company’s Machine Learning accelerator module. While other machine learning HATs are available for the Raspberry Pi platform, XaLogic has designed their XAPIZ3500 in a smaller Pi Zero style form factor.
Core Features and Specifications
At the core of the XAM3500 is the Kendryte K210 Dual-Core 64bit RISC-V processor with FPU and dedicated CNN accelerator, enabling the module to achieve 0.23TOPS under 300mW. This powerful processor is specifically designed to handle machine learning tasks efficiently, making it an excellent choice for edge computing applications. The affordable XaLogic AI Hat XAPIZ3500 HAT enables Raspberry Pi enthusiasts, developers, and students to build machine learning applications from just $28.80.
The Kendryte K210 processor is known for its high performance in low-power environments, which is crucial for embedded systems and IoT devices. The processor’s CNN accelerator is particularly useful for tasks such as image recognition, object detection, and other AI-driven functionalities. This makes the XAPIZ3500 a versatile tool for a wide range of applications, from home automation to advanced robotics.
Applications and Use Cases
“Over at XaLogic, we want to bring Machine Learning to the edge computing by building a machine learning accelerator module. We used Raspberry PI quite a lot in our rapid prototyping and love the form factor of the PI Zero which allows us to make cool things in a nice small form factor.”
The compact size of the XAPIZ3500 makes it ideal for projects where space is a constraint. For instance, it can be used in portable devices like handheld scanners, wearable technology, and compact drones. The small form factor does not compromise its capabilities, allowing developers to implement sophisticated machine learning models in their projects.
Adding the XAPIZ3500 allows Yolo-Like object detection with close to 10X performance improvements. YOLO (You Only Look Once) is a state-of-the-art, real-time object detection system. By integrating the XAPIZ3500, developers can achieve significant performance boosts, making it feasible to run complex models on a Raspberry Pi without the need for additional computational resources.
For more details and purchasing options, jump over to the Tindie website by following the link below. The Tindie platform offers a variety of options for purchasing the XAPIZ3500, along with detailed specifications and user reviews. This makes it easier for potential buyers to make an informed decision.
Source: CNX
The XaLogic XAPIZ3500 is a groundbreaking addition to the Raspberry Pi ecosystem. Its powerful Kendryte K210 processor, combined with its compact form factor, makes it an invaluable tool for developers looking to implement machine learning at the edge. Whether you’re a hobbyist, a student, or a professional developer, the XAPIZ3500 offers a cost-effective and efficient solution for your machine learning needs.
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