seeed studio Coral M.2 Accelerator A+E Key
seeed studio Coral M.2 Accelerator A+E Key
seeed studio Coral M.2 Accelerator A+E Key
seeed studio Coral M.2 Accelerator A+E Key
Bringing high-speed ML inferencing to your existing systems with the Coral M.2 Accelerator means unlocking the power of AI with minimal power consumption.
seeed studio Coral M.2 Accelerator A+E Key
Nr produktu: 90400778

seeed studio Coral M.2 Accelerator A+E Key

Nr produktu: 90400778

PLN 430

Szczegóły ceny

Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )

*All items will import from Stany Zjednoczone

W magazynie
Stany Zjednoczone Zaimportowano ze sklepu USA

Ilość:

Produkty dostępne w magazynie: 11.
Zamów teraz i otrzymaj około Wtorek, Sierpień 18
Nasi czołowi partnerzy logistyczni
  • fedex
  • dhl
Bringing high-speed ML inferencing to your existing systems with the Coral M.2 Accelerator means unlocking the power of AI with minimal power consumption.
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Note: Step Down Voltage Transformer required for using electronics products of Stany Zjednoczone store (110-120). Recommended power converters Kup Teraz.

Co wyróżnia ten produkt

High Performance
The Coral M.2 Accelerator delivers exceptional machine learning performance, enabling developers to run advanced models efficiently on compatible devices, significantly reducing processing time.
Compact Design
This M.2 form factor features a compact and lightweight design, making it ideal for edge devices and portable applications where space is a premium.
Easy Integration
Seamlessly integrates with existing systems, allowing developers to enhance their AI applications without complex setups, ensuring a smooth onboarding process for new users.

Szczegóły Produktu

Shop seeed studio Coral M.2 Accelerator A+E Key online at a best price in Polska. B0DFMC1GQF
  • 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 manner.
  • Works with Debian Linux: Integrates with any Debian-based Linux system with a compatible card module slot.
  • Supports TensorFlow Lite: No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU.
  • Supports AutoML Vision Edge: Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.
CPU ModelGoogle Tensor
Connectivity TechnologyM.2 A+E key (M.2-2230-A-E-S3)
Operating SystemDebian-based Linux
Compatible DevicesComputers (PCs, laptops, embedded platforms) with M.2 A+E key slot
RAM Memory TechnologyLPDDR4
Processor Count1
Total Usb Ports1
Brandseeed-studio
Model NameCoral M.2 Accelerator A+E Key
Built-In Media/
Unit Count1 Count
Manufacturerseeed studio
Included Components/
Item Weight0.5 lbs (230 grams)

What's in the box

/

Dla kogo jest przeznaczony?

Suitable For
  • AI Developers

    Ideal for developers creating machine learning models that require fast processing and acceleration for inference tasks.

  • Hobbyist Projects

    Perfect for tech enthusiasts integrating AI capabilities in DIY projects that require compact and efficient computing.

  • Edge Computing

    Beneficial for applications requiring localized data processing, enhancing performance while reducing latency and bandwidth usage.

Not Suitable For
  • Gaming Users

    Not suited for gamers seeking high-performance GPUs for gaming since it focuses on AI acceleration, not graphics.

OPIS PRODUKTU

Masz pytania? Porozmawiaj z nami

Pytania i odpowiedzi klientów

  • pytanie: What is the performance capability of the Edge TPU?

    odpowiedź: The Edge TPU can perform 4 trillion operations per second, achieving a power efficiency of 2 TOPS per watt.
  • pytanie: Can this accelerator be used with non-Debian systems?

    odpowiedź: No, the Coral M.2 Accelerator is specifically designed to work with Debian-based Linux systems.
  • pytanie: Is it easy to integrate this module into existing products?

    odpowiedź: Yes, the dual-key M.2 card design allows for straightforward integration into compatible ARM and x86 platforms.

seeed studio Single Board Computers Editorial Review

The Coral M.2 Accelerator AE Key has garnered a largely positive reception among users, who praise its effectiveness in running object detection software like Frigate and Blue Iris. Many customers report impressive performance with high accuracy rates in recognizing various subjects, including pets and people. One reviewer mentioned a 97% accuracy in detecting their dog, showcasing the product’s competency in real-world applications. This improvement in processing speed and reduced demand on CPU resources allows for the handling of multiple camera feeds simultaneously, a significant advantage for users with extensive monitoring requirements. Users have also appreciated the simplicity of installation in various compact PCs, though compatibility with certain devices has been noted. A common theme in the reviews is the need for potential buyers to double-check the specifications of their systems to ensure compatibility, especially regarding the A+E key design. While some concerns were raised about sporadic drops in performance, where the device may switch back to CPU processing, overall satisfaction remains high. In conclusion, the Coral M.2 Accelerator AE Key is well-regarded for enhancing the performance of object detection systems, with solid installation experience in various setups, although compatibility checks are essential prior to purchase. **

Opinie i oceny klientów

28 oceny klientów
  • 5 gwiazdka
    79%
  • 4 gwiazdka
    5%
  • 3 gwiazdka
    6%
  • 2 gwiazdka
    10%
  • 1 gwiazdka
    0%

Zrecenzuj ten produkt

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Zalety

  • High accuracy in object detection (e.g., 97% recognition rate).
  • Significant reduction in CPU load and processing speed improvement.
  • Seamless integration with software like Frigate and Blue Iris.
  • Positive results in detecting various subjects effectively.

Wady

  • Occasional performance drops where it defaults back to CPU processing.

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