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Item #:
85668787
Grove - Vision AI Module V2 - Arm Cortex-M55 & Ethos-U55, TensorFlow and PyTorch Supported, Arduino, Raspberry Pi, Seeed Studio XIAO, ESP-Based dev
Item #:
85668787
AUD 59
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Imported from USA store
QTY:
Order now and get it around Tuesday, August 11
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Harness powerful AI processing capabilities with the Grove Vision AI Module V2, supporting off-the-shelf and custom AI models for endless possibilities.
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What Stands Out
AI Processing Power
Equipped with Arm Cortex-M55 and Ethos-U55, this module delivers superior machine learning capabilities, enabling efficient AI processing for edge devices.
Framework Compatibility
Supports both TensorFlow and PyTorch, allowing developers to easily implement diverse AI applications across various platforms, enhancing flexibility and ease of use.
Wide Compatibility
Compatible with Arduino, Raspberry Pi, Seeed Studio XIAO, and ESP-based boards, this module offers versatility for developers, making it ideal for different projects and applications.
Product Details
| CPU Model | core_m |
| Connectivity Technology | USB |
| Operating System | FreeRTOS |
| Processor Brand | Himax |
| Compatible Devices | XIAO series, Arduino, Raspberry Pi, ESP dev board |
| RAM Memory Technology | LPDDR2, LPDDR3 or LPDDR4X |
| Processor Count | 2 |
| Total Usb Ports | 1 |
| Brand | seeed studio |
| Model Name | Vision AI Module V2 |
| Built-In Media | / |
| Unit Count | 1 Count |
| Manufacturer | seeed studio |
| Model Number | 101021112-FA |
| Mfr Part Number | 101021112-FA |
| Included Components | / |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
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AI Developers
Ideal for developers wanting to experiment with AI models on low-power devices using TensorFlow or PyTorch.
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Embedded Systems
Perfect for those integrating AI into projects with Arduino, Raspberry Pi, or other compatible boards.
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Educational Purposes
Great for students and educators looking to learn and teach about AI and machine learning applications.
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High-Performance Needs
Not suitable for applications requiring high processing power or complex AI functionalities beyond its capabilities.
Product Description
Grove - Vision AI Module V2 - Arm Cortex-M55 & Ethos-U55, TensorFlow and PyTorch Supported, Arduino, Raspberry Pi, Seeed Studio XIAO, ESP-Based dev Board Compatible
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What is the Grove - Vision AI Module V2 used for?
Answer: The Grove - Vision AI Module V2 is a powerful tool used for creating intelligent image processing applications. It leverages the capabilities of the Arm Cortex-M55 and Ethos-U55 processors to run TensorFlow and PyTorch models efficiently. This makes it ideal for projects involving machine learning tasks like object detection, facial recognition, and image classification. You can integrate it with platforms like Arduino or Raspberry Pi to enhance your robotic applications or smart devices. -
Question:
Can I use the Grove - Vision AI Module V2 with Raspberry Pi?
Answer: Yes, the Grove - Vision AI Module V2 is compatible with Raspberry Pi, allowing you to run sophisticated machine learning algorithms on your projects. The integration process is straightforward, and you can access GPIO pins easily to connect the module. This opens up a world of opportunities for developing AI-driven applications such as robotics, drones, or even smart surveillance systems that require image processing capabilities. -
Question:
Is the Grove - Vision AI Module V2 suitable for beginners?
Answer: Absolutely! The Grove - Vision AI Module V2 is designed to be user-friendly. It provides extensive documentation and support for popular coding platforms like Arduino, making it accessible even for those who are new to AI and machine learning. Beginners can start with basic projects, such as simple image recognition, and gradually move to more complex applications as they build their skills. -
Question:
What programming languages are supported by Grove - Vision AI Module V2?
Answer: The Grove - Vision AI Module V2 supports programming in Python and C++, making it versatile for developers with different backgrounds. With the support of TensorFlow and PyTorch frameworks, users can implement advanced machine learning models. This versatility allows you to choose the best language suited for your project objectives, whether you are building prototypes or deploying commercial applications. -
Question:
What are the main features of the Grove - Vision AI Module V2?
Answer: The Grove - Vision AI Module V2 boasts several impressive features, including high-performance processing with Arm Cortex-M55 and Ethos-U55 cores, support for TensorFlow and PyTorch, and compatibility with various platforms like Arduino and Raspberry Pi. It also supports multiple sensor integrations for a holistic approach to AI projects. These features make it suitable for applications in various fields, from robotics to home automation. -
Question:
How do I set up the Grove - Vision AI Module V2?
Answer: Setting up the Grove - Vision AI Module V2 is quite simple. Start by connecting the module to your chosen controller (like Raspberry Pi or Arduino) using the Grove connector. Then, install the necessary libraries and drivers as per the documentation. You can begin coding with sample projects provided in the documentation, allowing you to see results quickly. This ease of setup is a key factor for hobbyists and developers alike. -
Question:
Can the Grove - Vision AI Module V2 be used for facial recognition?
Answer: Yes, the Grove - Vision AI Module V2 is capable of performing facial recognition tasks using machine learning models trained through TensorFlow or PyTorch. By integrating suitable algorithms and datasets, you can develop applications that identify and track individuals in real-time. This capability makes it perfect for projects in security, personalization in marketing, or even social robotics, enhancing user interaction. -
Question:
Is the Grove - Vision AI Module V2 energy efficient?
Answer: Yes, the Grove - Vision AI Module V2 is designed to be energy efficient, thanks to its Arm Cortex-M55 and Ethos-U55 architecture. This means you can run complex machine learning models without consuming excessive power, making it suitable for battery-operated devices. This efficiency is particularly useful for mobile robotics, IoT devices, or any applications where power management is crucial. -
Question:
What kind of projects can I build using the Grove - Vision AI Module V2?
Answer: You can create a wide range of projects using the Grove - Vision AI Module V2, including robotics, smart surveillance systems, and interactive art installations. Some examples include an autonomous robot that navigates its environment using image processing or a smart camera that can identify and classify objects. The module’s compatibility with popular microcontrollers allows for endless possibilities in creative AI applications. -
Question:
Where can I buy the Grove - Vision AI Module V2?
Answer: You can buy the Grove - Vision AI Module V2 from Ubuy, a reliable e-commerce platform that offers a wide selection of electronic components and modules. They provide a straightforward buying process and often have customer support available to assist you with your purchase, making it a convenient option for both hobbyists and professionals looking to acquire this innovative technology.
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AUD 59
Order now and get it around Tuesday, August 11
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.)
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Features & Benefits
- Powerful AI processing with dual-core Arm Cortex-M55.
- Integrated Arm Ethos-U55 neural network unit for enhanced performance.
- Supports a variety of AI models including Mobilenet and Yolo.
- Compatible with popular devices like Arduino, Raspberry Pi, and ESP boards.
- Comes with rich peripheral devices including microphone and SD card slot.
- Fully open source for easy modification and development.
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