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The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing. It contains NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor. Coral G650-04474-01
The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing. It contains NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor.
The Edge TPU is a small ASIC designed by Google that provides high performance ML inferencing with a low power cost. For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. This on-device processing reduces latency, increases data privacy, and removes the need for a high-bandwidth connection used to perform ML inferencing in the cloud.
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The Coral USB Accelerator adds an Edge TPU coprocessor to your system, enabling high-speed machine learning inferencing on a wide range of systems, simply by connecting it to a USB port. Coral USB Accelerator G950-06809-01
PCIe module that allows the Edge TPU coprocessor to be used in existing systems. It allows you to make modern mobile vision models in a power efficient manner. Coral Mini PCIe Accelerator G650-04528-01
M.2 module that allows the Edge TPU coprocessor to be used in existing systems. It allows you to make modern mobile vision models in a power efficient manner. Coral M.2 Accelerator A+E key G650-04527-01
M.2 module that allows the Edge TPU coprocessor to be used in existing systems. It allows you to make modern mobile vision models in a power efficient manner. Coral G650-04686-01
Add-on board (also known as a pHAT or bonnet) that adds sensing capabilities to your Coral Dev Board or Raspberry Pi projects. The board provides atmospheric data such as light level, barometric pressure, temperature, and humidity. Coral Environmental Sensor Board
The camera module equipped with a modern Sony IMX708 sensor with a resolution of 11.9 MP, offers high quality photos and videos in Full HD resolution, ideally suited to demanding lighting conditions thanks to the HDR mode. With an advanced autofocus system, built-in IR-cut filter and full compatibility with the libcamera and Picamera2 libraries, the module is a versatile solution for applications in nature photography, monitoring and AI projects. ArduCAM B0306
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The Coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML) inferencing. It contains NXP's iMX8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor. Coral G650-04474-01