Documente Tehnice (Imaginile sunt cu titlu informativ. Va rugam sa consultati specificatiile tehnice.)
Specificatii
Marca
CoralProduct Type
Microcontroller Development Tool
Clasificare
Microcontroller Board
Kit Name
Dev Board Micro
Tehnologie
ARM Cortex
Device Core
ARM Cortex M7
Processor Family Name
ARM
Numar procesor
i.MX RT1176
Processor Type
Microcontroller
Standards/Approvals
No
Tara de origine
China
Detalii Produs
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.
Informatii despre stoc temporar indisponibile
€ 91,46
€ 91,46 Buc. (fara TVA)
€ 110,67
€ 110,67 Buc. (cu TVA)
1
€ 91,46
€ 91,46 Buc. (fara TVA)
€ 110,67
€ 110,67 Buc. (cu TVA)
Informatii despre stoc temporar indisponibile
1
Documente Tehnice (Imaginile sunt cu titlu informativ. Va rugam sa consultati specificatiile tehnice.)
Specificatii
Marca
CoralProduct Type
Microcontroller Development Tool
Clasificare
Microcontroller Board
Kit Name
Dev Board Micro
Tehnologie
ARM Cortex
Device Core
ARM Cortex M7
Processor Family Name
ARM
Numar procesor
i.MX RT1176
Processor Type
Microcontroller
Standards/Approvals
No
Tara de origine
China
Detalii Produs
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.
