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- seeed studio Coral M.2 Accelerator A+E Key
seeed studio Coral M.2 Accelerator A+E Key
AZN 170
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
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QTY:
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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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What Stands Out
Məhsul təfərrüatları
| CPU Model | Google Tensor |
| Connectivity Technology | M.2 A+E key (M.2-2230-A-E-S3) |
| Operating System | Debian-based Linux |
| Compatible Devices | Computers (PCs, laptops, embedded platforms) with M.2 A+E key slot |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 1 |
| Total Usb Ports | 1 |
| Brand | seeed studio |
| Model Name | Coral M.2 Accelerator A+E Key |
| Built-In Media | / |
| Number of Items | 1 |
| Unit Count | 1 Count |
| Manufacturer | seeed studio |
| Included Components | / |
| Item Weight | 0.5 lbs (230 grams) |
What's in the box
/
Who Should Buy?
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AI Developers
Ideal for developers creating machine learning models that require fast processing and acceleration for inference tasks.
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Hobbyist Projects
Perfect for tech enthusiasts integrating AI capabilities in DIY projects that require compact and efficient computing.
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Edge Computing
Beneficial for applications requiring localized data processing, enhancing performance while reducing latency and bandwidth usage.
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Gaming Users
Not suited for gamers seeking high-performance GPUs for gaming since it focuses on AI acceleration, not graphics.
MƏHSUL TƏSVİRİ
Müştəri Sualları və Cavabları
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Sual:
What is the performance capability of the Edge TPU?
Cavab: The Edge TPU can perform 4 trillion operations per second, achieving a power efficiency of 2 TOPS per watt. -
Sual:
Can this accelerator be used with non-Debian systems?
Cavab: No, the Coral M.2 Accelerator is specifically designed to work with Debian-based Linux systems. -
Sual:
Is it easy to integrate this module into existing products?
Cavab: 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. **
Customer Reviews & Ratings
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5 ulduz
79%
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4 ulduz
5%
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3 ulduz
6%
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2 ulduz
10%
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1 ulduz
0%
Bu məhsulu nəzərdən keçirin
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Pros
- 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.
Eksiler
- Occasional performance drops where it defaults back to CPU processing.
Platform Trust & Buyer Confidence
“Easy to use and always helpful and sorts any issues I've had past and present”
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Product Price History
Vacib məlumat
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AZN 170
Elə indi sifariş verin və əldə edin Monday, Sentyabr 14
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
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Xüsusiyyətlər və Üstünlüklər
- Integrates Edge TPU for high performance ML inferencing.
- Achieves 4 TOPS with only 0.5 watts per TOPS for maximum efficiency.
- Processes mobile vision models like MobileNet v2 at nearly 400 FPS.
- Compatible with any dual-key M.2 slot for easy installation.
- Supports Debian Linux and TensorFlow Lite for seamless integration.
- Enables custom high-accuracy image classification with AutoML Vision Edge.
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