Featured Products
The Google e coral system-on-module (SoM) is a fully-integrated system that helps to build embedded system which demand fast machine learning (ML...
The Google coral M.2 accelerator is an M.2 module that brings the edge TPU coprocessor to existing system and products. It enables easy integrati...
The Google 5-megapixel camera module that's compatible with the coral development board connect through the MIPI-CSI interface, and provide an ea...
The Google environmental sensor board is an add-on board that adds sensing capabilities in coral development board or raspberry Pi project. The b...
The Coral Wireless Add-on Board provides Wi-Fi and Bluetooth connectivity for the Coral Dev Board Micro. It simply snaps onto the Dev Board Micro...
The Google coral dev board mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML...
The Coral Accelerator Module is a multi-chip module (MCM) designed to perform high-speed inferencing for machine learning (ML) models. It include...
The Google coral mini PCIe accelerator is a PCIe module that bring the edge TPU coprocessor to existing systems and product. It provide high perf...
Benefits of the Coral Dev Board Micro The Coral Dev Board Micro is a microcontroller board that benefits from a built-in camera,microphone, and...
The Coral PoE Add-on Board is accessory board that adds ethernet power and connectivity to the Dev Board Micro. It simply snaps onto the Dev Boar...
The Coral Dev Board Micro Case is a transparent plastic enclosure to provide protection and ease of use for the Coral Dev Board Micro and Coral a...
The Google coral System-on-Module (SoM) is a fully-integrated system that helps you build embedded systems that demand fast machine learning (ML)...
Popular Categories For Coral
Popular Items
Popular items
G650-04474-01, Coral
The Google e coral system-on-module (SoM) is a fully-integrated system that helps to build embedded system which demand fast machine learning (ML) inferencing. It contains NXP's iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth but it has unique power comes from Google edge TPU coprocessor.
It used HDMI and MIPI-DS
It used cryptographic coprocessor
It has gigabit Ethernet
Popular items
G650-04527-01, Coral
The Google coral M.2 accelerator is an M.2 module that brings the edge TPU coprocessor to existing system and products. It enables easy integration into ARM and x86 platforms so it can add local ML acceleration to product such as embedded platforms, mini-PCs, and industrial gateway. It's weight is 3.1 g
It support debian Linux and other variants on host CPU
It has high-bandwidth connectivity
Popular items
G840-00180-01, Coral
The Google 5-megapixel camera module that's compatible with the coral development board connect through the MIPI-CSI interface, and provide an easy way to bring visual input into the model. It support autofocus control (AFC) with embedded AF VCM driver.
Dual lane MIPI output interface
Board dimensions is 25 x 25 mm
Popular items
G650-04023-01, Coral
The Google environmental sensor board is an add-on board that adds sensing capabilities in coral development board or raspberry Pi project. The board provide atmospheric data such as light level, barometric pressure, temperature, and humidity and it also attach additional sensor with the grove connector.
It used crypto processor with google key
It has general purpose button
Popular items
G650-07974-01, Coral
The Coral Wireless Add-on Board provides Wi-Fi and Bluetooth connectivity for the Coral Dev Board Micro. It simply snaps onto the Dev Board Micro with two high-density connectors.
Technical Specifications
Wi-Fi: 802.11 a/b/g/n/ac;
2.4 GHz and 5 GHz;
Bluetooth: Bluetooth 5.0;
Up to 3 Mbps PHY data rate
Connectors: Alternative antenna connector (U.FL coaxial);
Board-to-board connectors for Coral Dev Board Micro (sold separately)
Dimensions: 65.0 x 30 x 16.8 mm
Requires the Coral Dev Board Micro for operation (sold separately).
Popular items
G650-03324-01, Coral
The Google coral dev board mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing. This board can also serve as an evaluation device for the coral accelerator module, which allows you to integrate the Edge TPU into your custom PCB hardware as a surface-mounted module.
It has MediaTek 8167s SoC
It has Google Edge TPU ML accelerator
It has ARM Trust Zone security
It has 40-pin GPIO expansion header
Popular items
G313-06329-00, Coral
The Coral Accelerator Module is a multi-chip module (MCM) designed to perform high-speed inferencing for machine learning (ML) models. It includes the Edge TPU ML accelerator with integrated power control, and it can be connected over a PCIe Gen2 x1 or USB2 interface. The Edge TPU is a small ASIC designed by Google that accelerates Tensor Flow Lite models in a power efficient manner: it's capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt.
Integrated power management
Operating temperature range is -40 to +85 °C
PCIe Gen2 x1 or USB 2.0 interface
Popular items
G650-04528-01, Coral
The Google coral mini PCIe accelerator is a PCIe module that bring the edge TPU coprocessor to existing systems and product. It provide high performance ML inferencing with low power requirements. it's capable of performing 4 trillion operations per second.
It used standard half-mini PCIe card
It support debian Linux and other variants on host CPU
Popular items
G650-07968-01, Coral
Benefits of the Coral Dev Board Micro
The Coral Dev Board Micro is a microcontroller board that benefits from a built-in camera,microphone, and Coral Edge TPU, allowing you to quickly prototype and deploy low-power embedded systems with on-device ML inferencing.
By combining the Cortex M4 and M7 processors with the Coral Edge TPU on this board, you can design systems that cascade from extreme low-power ML inferencing to more complex—yet still power-efficient—ML inferencing.
You can also expand the hardware with custom add-on boards using the high-density board-to-board connectors. The Edge TPU is a small ASIC designed by Google that accelerates tensor flow lite models in a power efficient manner. One Edge TPU is capable of performing 4 trillion operations per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection.
Technical Specifications
MCU: NXP i.MX RT1176 (Cortex-M7 and Cortex-M4)
ML Accelerator: Coral Edge TPU coprocessor:
4 TOPS (int8)
RAM: 64 MB
Flash Memory: 1 Gibit
Sensors: Himax HM01B0 CMOS sensor
PDM mono microphone
Input/output: (2x) 12-pin GPIO header;
(2x) 100-pin board-to-board connectors;
USB Type-C (USB 2.0)
User interface: (4x) LEDs;
(2x) switch buttons
Popular items
G650-07975-01, Coral
The Coral PoE Add-on Board is accessory board that adds ethernet power and connectivity to the Dev Board Micro. It simply snaps onto the Dev Board Micro with a high-density connector.
Techical Specifications
Ethernet Speed: 10 and 100 Mbps
Max Power: 7 W continuous max power over Ethernet (shared with main board and any peripherals)
Dimensions: 65.0 x 30.0 x 23.9 mm
Requires the Coral Dev Board Micro for operation (sold separately).
Popular items
G730-06370-01, Coral
The Coral Dev Board Micro Case is a transparent plastic enclosure to provide protection and ease of use for the Coral Dev Board Micro and Coral add-on boards.
Size: 73 x 36 x 16.5 (DBM/ DBM + Wireless case), 73 x 26 x 27.5 (PoE case)
Mounting Options: Flat back to allow adhesive tape (DBM case)
1/4-20 threaded insert for tripod mount (PoE case)
GPIO Access: Yes, cutaway covers
Camera Protection: Yes, built-in optically clear lens cover
Popular items
G650-05370-01, Coral
The Google 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 iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor.
It offers high-speed and low-power ML inferencing (4 TOPS at 2W)
It is a complete Linux system (running Mendel, a Debian derivative)
It has small footprint (40 x 48mm)
New Items
New items
G650-04474-01, Coral
The Google e coral system-on-module (SoM) is a fully-integrated system that helps to build embedded system which demand fast machine learning (ML) inferencing. It contains NXP's iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth but it has unique power comes from Google edge TPU coprocessor.
It used HDMI and MIPI-DS
It used cryptographic coprocessor
It has gigabit Ethernet
New items
G650-04527-01, Coral
The Google coral M.2 accelerator is an M.2 module that brings the edge TPU coprocessor to existing system and products. It enables easy integration into ARM and x86 platforms so it can add local ML acceleration to product such as embedded platforms, mini-PCs, and industrial gateway. It's weight is 3.1 g
It support debian Linux and other variants on host CPU
It has high-bandwidth connectivity
New items
G840-00180-01, Coral
The Google 5-megapixel camera module that's compatible with the coral development board connect through the MIPI-CSI interface, and provide an easy way to bring visual input into the model. It support autofocus control (AFC) with embedded AF VCM driver.
Dual lane MIPI output interface
Board dimensions is 25 x 25 mm
New items
G650-04023-01, Coral
The Google environmental sensor board is an add-on board that adds sensing capabilities in coral development board or raspberry Pi project. The board provide atmospheric data such as light level, barometric pressure, temperature, and humidity and it also attach additional sensor with the grove connector.
It used crypto processor with google key
It has general purpose button
New items
G650-07974-01, Coral
The Coral Wireless Add-on Board provides Wi-Fi and Bluetooth connectivity for the Coral Dev Board Micro. It simply snaps onto the Dev Board Micro with two high-density connectors.
Technical Specifications
Wi-Fi: 802.11 a/b/g/n/ac;
2.4 GHz and 5 GHz;
Bluetooth: Bluetooth 5.0;
Up to 3 Mbps PHY data rate
Connectors: Alternative antenna connector (U.FL coaxial);
Board-to-board connectors for Coral Dev Board Micro (sold separately)
Dimensions: 65.0 x 30 x 16.8 mm
Requires the Coral Dev Board Micro for operation (sold separately).
New items
G650-03324-01, Coral
The Google coral dev board mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing. This board can also serve as an evaluation device for the coral accelerator module, which allows you to integrate the Edge TPU into your custom PCB hardware as a surface-mounted module.
It has MediaTek 8167s SoC
It has Google Edge TPU ML accelerator
It has ARM Trust Zone security
It has 40-pin GPIO expansion header
New items
G313-06329-00, Coral
The Coral Accelerator Module is a multi-chip module (MCM) designed to perform high-speed inferencing for machine learning (ML) models. It includes the Edge TPU ML accelerator with integrated power control, and it can be connected over a PCIe Gen2 x1 or USB2 interface. The Edge TPU is a small ASIC designed by Google that accelerates Tensor Flow Lite models in a power efficient manner: it's capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of power—that's 2 TOPS per watt.
Integrated power management
Operating temperature range is -40 to +85 °C
PCIe Gen2 x1 or USB 2.0 interface
New items
G650-04528-01, Coral
The Google coral mini PCIe accelerator is a PCIe module that bring the edge TPU coprocessor to existing systems and product. It provide high performance ML inferencing with low power requirements. it's capable of performing 4 trillion operations per second.
It used standard half-mini PCIe card
It support debian Linux and other variants on host CPU
New items
G650-07968-01, Coral
Benefits of the Coral Dev Board Micro
The Coral Dev Board Micro is a microcontroller board that benefits from a built-in camera,microphone, and Coral Edge TPU, allowing you to quickly prototype and deploy low-power embedded systems with on-device ML inferencing.
By combining the Cortex M4 and M7 processors with the Coral Edge TPU on this board, you can design systems that cascade from extreme low-power ML inferencing to more complex—yet still power-efficient—ML inferencing.
You can also expand the hardware with custom add-on boards using the high-density board-to-board connectors. The Edge TPU is a small ASIC designed by Google that accelerates tensor flow lite models in a power efficient manner. One Edge TPU is capable of performing 4 trillion operations per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a constant internet connection.
Technical Specifications
MCU: NXP i.MX RT1176 (Cortex-M7 and Cortex-M4)
ML Accelerator: Coral Edge TPU coprocessor:
4 TOPS (int8)
RAM: 64 MB
Flash Memory: 1 Gibit
Sensors: Himax HM01B0 CMOS sensor
PDM mono microphone
Input/output: (2x) 12-pin GPIO header;
(2x) 100-pin board-to-board connectors;
USB Type-C (USB 2.0)
User interface: (4x) LEDs;
(2x) switch buttons
New items
G650-07975-01, Coral
The Coral PoE Add-on Board is accessory board that adds ethernet power and connectivity to the Dev Board Micro. It simply snaps onto the Dev Board Micro with a high-density connector.
Techical Specifications
Ethernet Speed: 10 and 100 Mbps
Max Power: 7 W continuous max power over Ethernet (shared with main board and any peripherals)
Dimensions: 65.0 x 30.0 x 23.9 mm
Requires the Coral Dev Board Micro for operation (sold separately).
New items
G730-06370-01, Coral
The Coral Dev Board Micro Case is a transparent plastic enclosure to provide protection and ease of use for the Coral Dev Board Micro and Coral add-on boards.
Size: 73 x 36 x 16.5 (DBM/ DBM + Wireless case), 73 x 26 x 27.5 (PoE case)
Mounting Options: Flat back to allow adhesive tape (DBM case)
1/4-20 threaded insert for tripod mount (PoE case)
GPIO Access: Yes, cutaway covers
Camera Protection: Yes, built-in optically clear lens cover
New items
G650-05370-01, Coral
The Google 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 iMX 8M system-on-chip (SoC), eMMC memory, LPDDR4 RAM, Wi-Fi, and Bluetooth, but its unique power comes from Google's Edge TPU coprocessor.
It offers high-speed and low-power ML inferencing (4 TOPS at 2W)
It is a complete Linux system (running Mendel, a Debian derivative)
It has small footprint (40 x 48mm)
Don’t hesitate to ask questions for better clarification.