About this item

The Coral USB Accelerator is a compact, high-performance device developed by Google to enhance machine learning inference on edge devices. Featuring the Edge TPU coprocessor, it delivers up to 4 TOPS (trillion operations per second) while maintaining low power consumption of just 2 watts per TOPS, enabling fast and efficient on-device ML computations without relying on cloud services. The device connects via USB 3.0 Type-C, making it compatible with Debian Linux (including Raspberry Pi), macOS, and Windows 10 systems. It supports TensorFlow Lite models optimized for the Edge TPU, allowing developers to deploy real-time applications such as image and video classification, object detection, and voice recognition. Measuring only 65mm by 30mm, the Coral USB Accelerator’s compact design fits well in embedded and space-constrained environments. Its plug-and-play functionality simplifies integration into existing projects, making it an ideal solution for developers and engineers aiming to add powerful AI capabilities to their devices with minimal effort. This accelerator is perfect for edge computing scenarios where speed, efficiency, and portability are crucial.