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Why should we back?

Intro

Welcome to KickstartNew! Today, we’re excited to introduce the OpenMV N6 and AE3, two innovative low-power, Python-programmable AI cameras designed to bring advanced machine vision capabilities to a wide range of applications. These devices are currently seeking support on Kickstarter. In this blog post, we’ll explore the reasons to back this project, potential drawbacks to consider, and assess the reliability of the OpenMV team.​

Why should I back this project?

  1. Advanced AI Capabilities: The OpenMV N6 features an STM32N6 microcontroller with an integrated Neural Processing Unit (NPU) capable of running object detection models like YOLO at over 30 frames per second. This allows for real-time AI processing in a compact form factor.

  2. Energy Efficiency: Both the N6 and AE3 are designed for low power consumption. The AE3, for instance, consumes as little as 60mA at 5V during operation and under 500µA in deep sleep mode, making it ideal for battery-powered deployments that need to last for extended periods.

  3. Versatile Connectivity: The OpenMV N6 offers built-in connectivity options such as Wi-Fi, Bluetooth, and Gigabit Ethernet, facilitating seamless integration into various applications, including robotics, automation, and AI-driven edge computing.

  4. Comprehensive Development Environment: OpenMV provides an open-source integrated development environment (IDE) with built-in AI model deployment tools. Programming is done using MicroPython, allowing developers to create AI-powered applications with simple Python scripts.

  5. Expandable with Add-Ons: The project offers multiple add-ons for these models, such as the FLIR Lepton and Camera Module for thermal imaging and the Prophesee GENX320 HDR sensor for tracking fast-moving objects, enhancing the cameras’ versatility.

What are the potential drawbacks you should consider when you back it?

  1. Learning Curve: While Python is known for its simplicity, integrating AI models and understanding machine vision concepts may require a learning curve, especially for those new to the field.

  2. Early Adoption Risks: As with any Kickstarter project, there’s an inherent risk associated with backing a product that is still in development. Delays in production or unforeseen challenges may arise.

  3. Limited Track Record for New Models: While OpenMV has a history of producing quality products, the N6 and AE3 are new offerings. Potential backers should consider that these specific models do not yet have a proven track record in the market.

The reliability of the project

  1. Established Company: OpenMV has previously launched successful products, such as the OpenMV Cam H7, demonstrating their capability to deliver on their promises.

  2. Active Community and Support: OpenMV has fostered an active community around its products, providing a support network for troubleshooting and sharing ideas, which adds value to their offerings.

  3. Transparent Communication: The Kickstarter campaign provides detailed information about the products, their capabilities, and the development timeline, indicating a commitment to transparency with backers.

Conclusion

In conclusion, the OpenMV N6 and AE3 cameras present exciting opportunities for developers and enthusiasts interested in integrating AI-powered machine vision into their projects. While there are considerations to keep in mind, such as the learning curve and typical risks associated with crowdfunding, the project’s potential benefits and the company’s established reputation make it a compelling initiative to support.

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