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![Arduino Nicla Vision [ABX00051] - Compact Vision AI Board with 5MP Camera, Edge AI Processing, and Integrated Connectivity for IoT & Machine Learning Applications](https://m.media-amazon.com/images/I/61EnUGkxn8L._AC_SX569_.jpg)
Nicla Vision combines a powerful STM32H747AII6 Dual ARM Cortex M7/M4 IC processor with a 2MP color camera that supports TinyML, and also offers both WiFi and Bluetooth Low Energy connectivity. All of this makes Nicla Vision the ideal solution to develop or prototype with on-device image processing and machine vision at the edge, for asset tracking, object recognition, predictive maintenance and more – easier and faster than ever.
Arduino Nicla Vision [ABX00051] - Compact Vision AI Board with 5MP Camera, Edge AI Processing, and Integrated Connectivity for IoT & Machine Learning
PHP 8220
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Nicla Vision combines a powerful STM32H747AII6 Dual ARM Cortex M7/M4 IC processor with a 2MP color camera that supports TinyML, and also offers both WiFi and Bluetooth Low Energy connectivity. All of this makes Nicla Vision the ideal solution to develop or prototype with on-device image processing and machine vision at the edge, for asset tracking, object recognition, predictive maintenance and more – easier and faster than ever.
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What Stands Out
Product Details
- Nicla Vision is a standalone intelligent camera that combines a powerful STM32H747AII6 Dual ARM Cortex M7/M4 IC processor with a 2MP color camera.
- It supports TinyML, integrates with OpenMV, and offers WiFi and Bluetooth Low Energy connectivity.
- With a compact 22.86 x 22.86 mm form factor, it can fit into most scenarios and can be powered by battery for standalone applications.
- It is ideal for on-device image processing and machine vision at the edge, for asset tracking, object recognition, and more.
- It features a smart 6-axis motion sensor, integrated microphone, and distance sensor for capturing data regarding distance, sound, movement, and vibration.
- Nicla Vision is compatible with Arduino Portenta and MKR products, supports MicroPython, and is suitable for building automation, industrial automation, and prototyping applications.
| Item Weight | 0.3 lbs (140 grams) |
Who Should Buy?
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AI Developers
Developers creating machine learning applications will benefit from edge AI processing capabilities and integrated connectivity features.
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IoT Enthusiasts
Ideal for Internet of Things projects, combining visual data processing with real-time analytics in compact hardware.
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Education and Research
Suitable for educational purposes, teaching students about AI and computer vision in hands-on projects and experimentation.
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Beginners
Novice users may find the complexity of AI and machine learning applications difficult to navigate without prior knowledge.
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Non-Technical Users
Users lacking technical background will struggle to leverage the capabilities of the board effectively for their needs.
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Heavy Computation Tasks
Not designed for power-intensive applications, as edge processing may not suffice for complex machine learning workloads.
Product Description
Arduino Nicla Vision [ABX00051] - Compact Vision AI Board with 5MP Camera, Edge AI Processing, and Integrated Connectivity for IoT & Machine Learning Applications
Customer Questions & Answers
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Question:
What are the key features of the Arduino Nicla Vision board?
Answer: The Arduino Nicla Vision board is equipped with a 5MP camera, enabling high-resolution image capturing, and comes with edge AI processing capabilities that allow for efficient data analysis directly on the device. Additionally, it features integrated connectivity options such as Bluetooth and Wi-Fi, making it ideal for IoT applications. This combination of features makes it a powerful tool for developers looking to create smart devices that can process visual data without requiring constant cloud access. -
Question:
How can I use the Arduino Nicla Vision for IoT projects?
Answer: You can leverage the Arduino Nicla Vision for various IoT projects such as smart home security systems, where the onboard camera can monitor areas and perform facial recognition. Its edge AI processing helps in making quick decisions locally, minimizing latency and bandwidth usage. Additionally, it can be used for environmental monitoring, where it captures and analyzes visual data to trigger alerts based on detected changes, thereby making your IoT applications more responsive and efficient. -
Question:
Is the Arduino Nicla Vision compatible with other Arduino products?
Answer: Yes, the Arduino Nicla Vision is fully compatible with other Arduino devices and shields. This compatibility allows you to expand its functionality by integrating sensors, actuators, and various shields from the Arduino ecosystem. For example, you could connect temperature sensors for a more comprehensive environmental monitoring system, enhancing the board's capabilities and allowing for a multitude of project applications. -
Question:
Can the Arduino Nicla Vision be programmed using the Arduino IDE?
Answer: Absolutely! The Arduino Nicla Vision can be programmed using the Arduino IDE, which provides a familiar environment for many developers. This ease of programming means that you can quickly prototype applications. Furthermore, libraries and examples specific to vision processing and machine learning are readily available, facilitating the development of sophisticated computer vision applications without needing deep technical knowledge. -
Question:
What kind of projects can I create with Arduino Nicla Vision’s AI capabilities?
Answer: With its AI capabilities, the Arduino Nicla Vision is perfect for projects like image recognition systems or real-time object tracking applications. For instance, you could create a smart camera that identifies and logs visitors at a secure entrance. Similarly, in agriculture, it can be employed for monitoring crop health by analyzing visual data to detect plant diseases, thus streamlining the decision-making process and enhancing efficiency. -
Question:
What connectivity options does the Arduino Nicla Vision offer?
Answer: The Arduino Nicla Vision offers integrated connectivity through Wi-Fi and Bluetooth, providing flexibility for wireless communication in IoT networks. This allows you to easily connect the board to cloud services or other devices for seamless data exchange. For example, you could use Bluetooth to communicate with a mobile application to control and receive data from your project remotely, making it versatile for applications across different fields. -
Question:
What are the power requirements for the Arduino Nicla Vision?
Answer: The Arduino Nicla Vision is designed to operate efficiently with low power consumption, making it adaptable for battery-operated projects. It can be powered through USB or using a battery while providing sufficient power for its functionalities including the 5MP camera and AI processing. This power efficiency is particularly useful in remote sensing applications, where sustainability and longevity are crucial. -
Question:
Does the Arduino Nicla Vision support machine learning algorithms?
Answer: Yes, the Arduino Nicla Vision supports various machine learning algorithms, especially those suited for edge computing. By processing data locally, it reduces the dependency on cloud-based solutions and enhances the responsiveness of applications. This capability allows you to implement features such as image classification or gesture recognition directly on the device, making it an attractive option for real-time applications in robotics and smart home devices. -
Question:
Where can I buy Arduino Nicla Vision [ABX00051] in Philippines?
Answer: You can purchase the Arduino Nicla Vision [ABX00051] from Ubuy. They provide a reliable and user-friendly platform to buy this compact vision AI board, ensuring availability and ease of access for customers in Philippines. Ubuy often features various options for delivery and customer service, making it a convenient choice for your electronics and technology needs. -
Question:
Is there a community or support available for Arduino Nicla Vision users?
Answer: Yes, there is a vibrant community of Arduino users that provides support through forums, tutorials, and example projects. Online resources include the Arduino website, GitHub repositories, and various tech blogs that cover innovative projects you can follow. Engaging with this community can help you troubleshoot issues, gain inspiration for your projects, and collaborate with others who share similar interests in AI and IoT technologies.
Arduino Single Board Computers Editorial Review
This product seems to have mixed reviews from customers. One user mentioned that the board worked well and was in line with the description on the website. They especially appreciated its compatibility with the OpenMV IDE. However, another user reported an issue with the camera attachment coming loose after just one day of use, leading to frustration and the decision to return the product. Overall, it appears that this board has the potential to be a great tool due to its compact size and functionality, but there may be concerns about its durability and build quality based on the experiences shared by customers. **
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Pros
- Compact size
- Compatible with OpenMV IDE
Cons
- Camera attachment may become loose quickly
Product Price History
Important information
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PHP 8220
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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.
Features & Benefits
- Nicla Vision is perfect for automated houses and smart gardening
- Compatible with Arduino IoT Cloud for easy device connection and project sharing
- Features a powerful processor, camera, motion sensor, microphone, and distance sensor
- Compact size can fit into most projects and can be powered by a battery
- Ideal for on-device image processing and machine vision for asset tracking, object recognition, and predictive maintenance
- Supports TinyML, MicroPython, OpenMV, WiFi, and Bluetooth Low Energy connectivity