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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
BOB 2127
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
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Order now and get it around Wednesday, August 12
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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
| 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.
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High-End Gaming
Not designed for high-end gaming or graphic-intensive applications, lacking the necessary GPU capabilities for gamers.
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Non-Technical Users
Not recommended for users who lack technical expertise, as setup and programming require specialized knowledge.
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.
Have any Query? Chat with us
Customer Questions & Answers
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Question:
What is the Google Coral Dev Board Mini used for?
Answer: The Google Coral Dev Board Mini is designed primarily for developing AI-rich applications with machine learning capabilities. It empowers developers to build smart IoT devices, autonomous robots, and edge-based models by providing powerful processing capabilities. Ideal for prototyping innovative solutions, the board combines processing power with on-device AI processing using TensorFlow Lite, making it suitable for tasks like image recognition and natural language processing. -
Question:
What are the main specifications of the Google Coral Dev Board Mini?
Answer: The Google Coral Dev Board Mini features a quad-core Cortex-A53 CPU, a dual-core accelerator, and supports various connectivity options like Wi-Fi and Bluetooth. It is equipped with 1GB RAM, 8GB eMMC storage, and a microSD card slot for expanded storage. These specifications enable it to efficiently run demanding applications, making it a robust choice for developers in the AI and IoT space. -
Question:
Can I run TensorFlow Lite on the Google Coral Dev Board Mini?
Answer: Yes, the Google Coral Dev Board Mini is optimized for running TensorFlow Lite, allowing developers to execute lightweight machine learning models directly on the device. This feature is crucial for projects that require real-time processing and offline capabilities. For instance, users can deploy models for image classification or object detection without relying on cloud services, offering increased efficiency and privacy. -
Question:
What kind of projects can I build with the Google Coral Dev Board Mini?
Answer: With the Google Coral Dev Board Mini, you can develop a wide range of projects, including smart home applications, automated gardening systems, and security surveillance solutions. Its ability to process data locally allows for real-time decision-making, which is essential in applications like motion detection or smart lighting. Developers find it ideal for experimenting with cutting-edge AI features in everyday environments. -
Question:
Is the Google Coral Dev Board Mini suitable for beginners?
Answer: While the Google Coral Dev Board Mini is powerful, beginners may find it challenging without prior experience in coding or AI. However, there is extensive documentation and community support available, making it easier for newcomers to learn. Beginners can start with simple projects, gradually scaling their knowledge to utilize more advanced features, such as integrating with various sensors and devices. -
Question:
Does the Google Coral Dev Board Mini support GPIO pins?
Answer: Yes, the Google Coral Dev Board Mini includes General Purpose Input/Output (GPIO) pins, allowing users to interface with various peripherals and sensors. This capability is essential for creating interactive projects, such as robots or environmental monitors, where you need to collect data or control other hardware components, enhancing the board's versatility in embedded systems. -
Question:
What operating system does the Google Coral Dev Board Mini run?
Answer: The Google Coral Dev Board Mini runs on Mendel Linux, a Debian-based operating system tailored for edge devices. This OS is optimized for performance and supports a wide range of libraries and frameworks that are beneficial for AI development. This ensures that developers have a stable and flexible platform to build, test, and deploy their applications efficiently. -
Question:
How do I power the Google Coral Dev Board Mini?
Answer: The Google Coral Dev Board Mini can be powered using a standard USB-C power supply, ensuring that it receives sufficient voltage and current to operate effectively. It's crucial to use a compatible power source to avoid any performance issues. For portability, you can also use battery packs, making it an ideal choice for field testing or mobile applications. -
Question:
Where can I buy the Google Coral Dev Board Mini in Bolivia?
Answer: You can purchase the Google Coral Dev Board Mini at Ubuy, which offers a variety of electronic products, including this innovative development board. Ubuy provides a reliable platform for obtaining tech gadgets, ensuring that you have access to the latest tools for your projects.
Google Single Board Computers Editorial Review
The Google Coral Dev Board Mini offers fast processing thanks to its TPU, but the software is highly unstable. Some users have reported that the board came with pre-authorized keys, which caused difficulties in setting up new keys and required a USB to TTL cable for resetting the board.
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Pros
- Fast processing with TPU
Cons
- Highly unstable software
Product Price History
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BOB 2127
Order now and get it around Wednesday, August 12
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:
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
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