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The Coral Dev Board Mini enables you to quickly prototype and deploy an embedded system with on-device ML inferencing. It includes the Edge TPU coprocessor designed by Google, capable of performing 4 trillion operations per second using 2 watts of power. It supports TensorFlow Lite and AutoML Vision Edge. Provides a complete system with SoC + ML + wireless connectivity all on the board.
Item #:
31022023
Coral Dev Board Mini
Item #:
31022023
USD 252
Price Details
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The Coral Dev Board Mini enables you to quickly prototype and deploy an embedded system with on-device ML inferencing. It includes the Edge TPU coprocessor designed by Google, capable of performing 4 trillion operations per second using 2 watts of power. It supports TensorFlow Lite and AutoML Vision Edge. Provides a complete system with SoC + ML + wireless connectivity all on the board.
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What Stands Out
Edge AI Capability
Harness the power of on-device machine learning with efficient processing, enabling real-time AI applications without relying on cloud services, enhancing speed and data privacy.
Versatile Connectivity
Supports Wi-Fi, Bluetooth, and GPIO interfaces, making it ideal for various IoT projects, facilitating easy integration with other devices and sensors for enhanced functionality.
Compact Design
Built in a small form factor, this board is perfect for space-constrained environments without compromising performance, allowing developers to create innovative solutions effortlessly.
Product Details
| Memory Storage Capacity | 8 GB |
| Connectivity Technology | Bluetooth, GPIO |
| Operating System | Debian, Linux |
| Processor Brand | |
| Wireless Compability | Bluetooth |
| RAM Memory Technology | LPDDR3 |
| Processor Count | 4 |
| Total Usb Ports | 1 |
| Brand | |
| Built-In Media | single-board computer, wireless connectivity components |
| Number of Items | 1 |
| UPC | 193575011295 |
| Unit Count | 1 count |
| Global Trade Identification Number | 00193575011295 |
| Manufacturer | Google LLC |
| Model Number | G650-03324-01 |
| Mfr Part Number | G650-03324-01 |
| Included Components | single-board computer, wireless connectivity components |
| Item Weight | 1.2 lbs (540 grams) |
Who Should Buy?
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Developers & Innovators
Ideal for developers creating AI and IoT projects, leveraging edge computing capabilities for faster processing and response times.
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Embedded Systems
Perfect for engineers building embedded systems that require machine learning due to its powerful processing capabilities.
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Education & Research
Great for educational purposes and research projects where hands-on experience with AI and machine learning is needed.
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Casual Users
Not suitable for casual users looking for a simple or off-the-shelf computing solution for everyday tasks.
Product Description
Coral Dev Board Mini
About This Item
The Google Coral Dev Board Mini is the ultimate tool for AI development and prototyping. With its powerful MediaTek 8167s SoC (Quad-core Arm Cortex-A35) and IMG PowerVR GE8300 integrated GPU, this single-board computer is designed to accelerate TensorFlow Lite models and deliver impressive AI performance. Equipped with ARM TrustZone Security, Wi-Fi 5, and Bluetooth 5.0, the Coral Dev Board Mini ensures a secure and seamless connectivity experience.
It also features 8 GB eMMC and 2 GB LPDDR3 for smooth multitasking and storage of your AI models and data. With a USB 2.0 Type-C OTG port, HDMI 1.4a (micro), MIPI DSI display, and MIPI CSI camera support, you can easily connect and interface with various peripherals and cameras for your AI projects. The inclusion of a 3.5 mm headphone jack and Digital PDM microphone allows for audio processing and integration into your applications.
To further expand the capabilities of the Coral Dev Board Mini, it is equipped with a 40-pin GPIO expansion header, enabling you to connect and control additional sensors, actuators, and devices. This board also comes with Mendel Linux pre-flashed, providing a familiar development environment right out of the box. The highlight of the Coral Dev Board Mini is the Edge TPU, a small ASIC designed by Google to accelerate TensorFlow Lite models on-device.
With 4 TOPS (trillions of operations per second) and an energy-efficient operation of 2 TOPS per watt, the Edge TPU delivers incredible AI inferencing speed and performance. For instance, it can execute state-of-the-art mobile vision models like MobileNet v2 at an impressive 400 frames per second. By performing ML inferencing on-device, the Coral Dev Board Mini eliminates the need for a constant internet connection, ensuring faster response times and increased data privacy.
It is perfect for applications that require real-time AI, such as image recognition, natural language processing, audio processing, robotics, and smart home applications. Whether you're a hobbyist, researcher, or professional, the Google Coral Dev Board Mini is the ideal AI development board for prototyping and deploying cutting-edge AI models and applications. With its compact size and powerful capabilities, it opens up endless possibilities for AI integration and deployment in various industries and sectors.
Accelerate your AI journey with the Coral Dev Board Mini today.
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Google Single Board Computers G650-03324-01 Editorial Review
Coral Dev Board Mini is a versatile single-board computer powered by a robust Google processor with an 8 GB memory storage capacity. While users have noted that the software can be unstable and difficult to set up, particularly due to the preloaded keys that require additional work to bypass, the board boasts impressive connectivity options with Bluetooth and GPIO. This makes it suitable for various projects. Many reviews highlight the speed of the TPU, although the initial setup can be quite challenging, requiring extra tools like a USB to TTL cable for those who encounter issues. Despite the hurdles in initial usage, the board's capabilities can be appealing to developers willing to navigate these complexities.
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Pros
- Compact and lightweight design
- Fast TPU for intensive tasks
- Supports Bluetooth and GPIO connectivity
- Runs on stable Debian Linux
- Ideal for various DIY projects
Cons
- Initial setup can be complicated for some users
Product Price History
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USD 252
Order now and get it around Saturday, December 12
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