{"product_id":"coral-dev-board-edge-tpu","title":"Coral Dev Board Edge TPU","description":"\u003cdiv class=\"contents\"\u003e\n \u003cp\u003e\n  The Coral Dev Board is a single-board computer with a removable system-on-module (SOM) that contains eMMC, SOC, wireless radios, and Google's\n  \u003ca href=\"https:\/\/coral.withgoogle.com\/tutorials\/edgetpu-faq\/\"\u003e\n   Edge TPU\n  \u003c\/a\u003e\n  . It's perfect for IoT devices and other embedded systems that demand fast on-device ML inferencing.\n \u003c\/p\u003e\n \u003cp\u003e\n  You can use the Dev Board as a single-board computer for accelerated ML processing in a small form factor, or as an evaluation kit for the SOM that's on-board. The 40 mm × 48 mm SOM on the Dev Board is available at volume. It can be combined with your custom PCB hardware using board-to-board connectors for integration into products.\n \u003c\/p\u003e\n \u003cp\u003e\n  The SOM is based on NXP's iMX8M system-on-chip (SOC), but its unique power comes from the 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 100+ fps, in a power efficient manner.\n \u003c\/p\u003e\n \u003cp\u003e\n  \u003cstrong\u003e\n   Edge TPU key benefits\n  \u003c\/strong\u003e\n \u003c\/p\u003e\n \u003cul\u003e\n  \u003cli\u003e\n   High-speed TensorFlow Lite inferencing\n  \u003c\/li\u003e\n  \u003cli\u003e\n   Low Power\n  \u003c\/li\u003e\n  \u003cli\u003e\n   Small footprint\n  \u003c\/li\u003e\n \u003c\/ul\u003e\n \u003cp\u003e\n  The baseboard includes all the peripheral connections you need to prototype a project, including USB 2.0\/3.0 ports, DSI display interface, CSI2 camera interface, Ethernet port, speaker terminals, and a 40-pin GPIO header.\n \u003c\/p\u003e\n \u003cp\u003e\n  \u003ca href=\"https:\/\/coral.withgoogle.com\/\"\u003e\n   Coral\n  \u003c\/a\u003e\n  is a division of Google, that helps you build intelligent ideas with our platform for local AI.\n \u003c\/p\u003e\n \u003ch2\u003e\n  Features\n \u003c\/h2\u003e\n \u003cul\u003e\n  \u003cli\u003e\n   SOM\n   \u003cul\u003e\n    \u003cli\u003e\n     NXP i.MX 8M SOC (Quad-core Cortex-A53, plus Cortex-M4F)\n    \u003c\/li\u003e\n    \u003cli\u003e\n     Google Edge TPU ML accelerator coprocessor\n    \u003c\/li\u003e\n    \u003cli\u003e\n     Cryptographic coprocessor\n    \u003c\/li\u003e\n    \u003cli\u003e\n     Wi-Fi 2x2 MIMO (802.11b\/g\/n\/ac 2.4\/5GHz)\n    \u003c\/li\u003e\n    \u003cli\u003e\n     Bluetooth 4.1\n    \u003c\/li\u003e\n    \u003cli\u003e\n     8GB eMMC\n    \u003c\/li\u003e\n    \u003cli\u003e\n     1GB LPDDR4\n    \u003c\/li\u003e\n   \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003e\n   USB Connections\n   \u003cul\u003e\n    \u003cli\u003e\n     USB Type-C power port (5V DC)\n    \u003c\/li\u003e\n    \u003cli\u003e\n     USB 3.0 Type-C OTG port\n    \u003c\/li\u003e\n    \u003cli\u003e\n     USB 3.0 Type-A host port\n    \u003c\/li\u003e\n    \u003cli\u003e\n     USB 2.0 Micro-B serial console port\n    \u003c\/li\u003e\n   \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003e\n   Audio connections\n   \u003cul\u003e\n    \u003cli\u003e\n     3.5mm audio jack (CTIA compliant)\n    \u003c\/li\u003e\n    \u003cli\u003e\n     Digital PDM microphone (x2)\n    \u003c\/li\u003e\n    \u003cli\u003e\n     2.54mm 4-pin terminal for stereo speakers\n    \u003c\/li\u003e\n   \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003e\n   Video connections\n   \u003cul\u003e\n    \u003cli\u003e\n     HDMI 2.0a (full size)\n    \u003c\/li\u003e\n    \u003cli\u003e\n     39-pin FFC connector for MIPI-DSI display (4-lane)\n    \u003c\/li\u003e\n    \u003cli\u003e\n     4-pin FFC connector for MIPI-CSI2 camera (4-lane)\n    \u003c\/li\u003e\n   \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003e\n   MicroSD card slot\n  \u003c\/li\u003e\n  \u003cli\u003e\n   Gigabit Ethernet ports\n  \u003c\/li\u003e\n  \u003cli\u003e\n   40-pin GPIO expansion headers\n  \u003c\/li\u003e\n  \u003cli\u003e\n   Supports Debian Linuxs\n  \u003c\/li\u003e\n \u003c\/ul\u003e\n \u003ch2\u003e\n  Models are built using TensorFlow\n \u003c\/h2\u003e\n \u003cp\u003e\n  Fully supports MobileNet and Inception architectures though custom architectures are possible\n \u003c\/p\u003e\n \u003cp\u003e\n  Compatible with Google Cloud\n \u003c\/p\u003e\n \u003ch2\u003e\n  Supports TFLite\n \u003c\/h2\u003e\n \u003cp\u003e\n  No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Coral Dev Board.\n \u003c\/p\u003e\n \u003ch2\u003e\n  Scale from prototype to production\n \u003c\/h2\u003e\n \u003cp\u003e\n  Considers your manufacturing needs. The SOM can be removed from the baseboard, ordered in bulk, and integrated into your hardware.\n \u003c\/p\u003e\n \u003ch2\u003e\n  Includes a full system\n \u003c\/h2\u003e\n \u003cp\u003e\n  SOC + ML + Connectivity all on the board running a variant of Linux, so you can run your favourite Linux tools with this board.\n \u003c\/p\u003e\n \u003ch2\u003e\n  Learn More about Coral\n \u003c\/h2\u003e\n \u003cul\u003e\n  \u003cli\u003e\n   \u003ca href=\"https:\/\/coral.withgoogle.com\/products\/\"\u003e\n    Coral Dev Board\n   \u003c\/a\u003e\n  \u003c\/li\u003e\n \u003c\/ul\u003e\n \u003ctable border=\"0\" cellpadding=\"0\" cellspacing=\"0\"\u003e\n  \u003ctbody\u003e\n   \u003ctr\u003e\n    \u003ctd colspan=\"2\" height=\"26\" width=\"1135\"\u003e\n     \u003cstrong\u003e\n      Edge TPU Module\n     \u003c\/strong\u003e\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     CPU\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     NXP i.MX 8M SOC (quad Cortex-A53, Cortex-M4F)\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     GPU\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     Integrated GC7000 Lite Graphics\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     ML accelerator\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     Google Edge TPU coprocessor\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     RAM\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     1 GB LPDDR4\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     Flash memory\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     8 GB eMMC\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     Wireless\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     Wi-Fi 2x2 MIMO (802.11b\/g\/n\/ac 2.4\/5GHz) Bluetooth 4.1\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     Dimensions\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     48mm x 40mm x 5mm\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd colspan=\"2\" height=\"26\"\u003e\n     \u003cstrong\u003e\n      Baseboard\n     \u003c\/strong\u003e\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     Flash memory\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     MicroSD slot\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     USB\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     Type-C OTG Type-C power Type-A 3.0 host Micro-B serial console\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     LAN\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     Gigabit Ethernet port\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     Audio\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     3.5mm audio jack (CTIA compliant) Digital PDM microphone (x2),  2.54mm 4-pin terminal for stereo speakers\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     Video\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     HDMI 2.0a (full size) 39-pin FFC connector for MIPI-DSI display (4-lane) , 24-pin FFC connector for MIPI-CSI2 camera (4-lane)\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     GPIO\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     3.3V power rail 40 - 255 ohms programmable impedance ~82 mA max current\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     Power\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     5V DC (USB Type-C)\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n   \u003ctr\u003e\n    \u003ctd height=\"23\"\u003e\n     Dimensions\n    \u003c\/td\u003e\n    \u003ctd\u003e\n     88 mm x 60 mm x 24mm\n    \u003c\/td\u003e\n   \u003c\/tr\u003e\n  \u003c\/tbody\u003e\n \u003c\/table\u003e\n\u003c\/div\u003e\n","brand":"Unmanned Tech","offers":[{"title":"Default Title","offer_id":54197427110152,"sku":"EDC-132-E05","price":122.95,"currency_code":"GBP","in_stock":false}],"url":"https:\/\/bidnamic.store\/products\/coral-dev-board-edge-tpu","provider":"Bidnamic Store","version":"1.0","type":"link"}