Atur jumlah dan catatan
Stok Total: 135
Subtotal
Rp2.799.000
Coral USB Accelerator Google Edge TPU,machine learning supports AutoML Vision Edge, Raspberry Pi, macOS, Windows 10,Google Cloud
Rp2.799.000
- Kondisi: Baru
- Min. Pemesanan: 1 Buah
- Etalase: Semua Etalase
SELAMAT DATANG DI TOKO KAMI
Brand Name : seeed studio
Origin : Mainland China
Accessory Type : Flat Wire Cable
Compatible With : Coral USB Accelerator
Hign-concerned Chemical : None
Item model number : G950-06809-01
Feature
Performs high-speed ML inferencing:
High-speed TensorFlow Lite inferencing with low power, small footprint, local inferencing.
Supports all major platforms:
Connects via USB 3.0 Type-C to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.
Supports TensorFlow Lite:
No need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE.
Supports AutoML Vision Edge:
Easily build and deploy fast, high-accuracy custom image classification models at the edge.Compatible with Google Cloud.
Description
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.
. A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.
. Performs high-speed ML inferencing: the on-board edge TPU Coprocessor is capable of performing 4 trillion operations (tera-operations) per second (tops), using 0.5 watts for each tops (2 tops per watt). For example, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, in a power efficient manne.
. Works with Debian Linux: connects to any debian-based Linux system with an included USB 3.0 Type-C cable.
. Supports tensorflow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE,
supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge.
Application
AI-enabled NVR system
If you are planning to use Coral USB Accelerator for Home Assistant of home automation applications, we recommend ODYSSEY Blue, an Intel Celeron J4125 powered X86 Windows/Linux mini PC, you can set them together with IP cameras for a local AI processed NVR system.
Tutorials to build intelligent devices with Coral
Object tracking
Image recognition
PoseNet pose estimation
Sebelum membeli suatu produk, Mohon dapat membaca deskripsi produk dengan cermat
Harap tanyakan stok sebelum melakukan pemesanan ya kak
Jika Anda memiliki pertanyaan, silakan hubungi kami.
Brand Name : seeed studio
Origin : Mainland China
Accessory Type : Flat Wire Cable
Compatible With : Coral USB Accelerator
Hign-concerned Chemical : None
Item model number : G950-06809-01
Feature
Performs high-speed ML inferencing:
High-speed TensorFlow Lite inferencing with low power, small footprint, local inferencing.
Supports all major platforms:
Connects via USB 3.0 Type-C to any system running Debian Linux (including Raspberry Pi), macOS, or Windows 10.
Supports TensorFlow Lite:
No need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE.
Supports AutoML Vision Edge:
Easily build and deploy fast, high-accuracy custom image classification models at the edge.Compatible with Google Cloud.
Description
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.
. A USB accessory that brings machine learning inferencing to existing systems. Works with Raspberry Pi and other Linux systems.
. Performs high-speed ML inferencing: the on-board edge TPU Coprocessor is capable of performing 4 trillion operations (tera-operations) per second (tops), using 0.5 watts for each tops (2 tops per watt). For example, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, in a power efficient manne.
. Works with Debian Linux: connects to any debian-based Linux system with an included USB 3.0 Type-C cable.
. Supports tensorflow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the edge TPE,
supports automl vision edge: easily build and deploy fast, high-accuracy custom image classification models to your device with automl vision edge.
Application
AI-enabled NVR system
If you are planning to use Coral USB Accelerator for Home Assistant of home automation applications, we recommend ODYSSEY Blue, an Intel Celeron J4125 powered X86 Windows/Linux mini PC, you can set them together with IP cameras for a local AI processed NVR system.
Tutorials to build intelligent devices with Coral
Object tracking
Image recognition
PoseNet pose estimation
Sebelum membeli suatu produk, Mohon dapat membaca deskripsi produk dengan cermat
Harap tanyakan stok sebelum melakukan pemesanan ya kak
Jika Anda memiliki pertanyaan, silakan hubungi kami.
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