OpenMV N6 and AE3 gained immense popularity globally on Kickstarter, OpenMV MP2 will be showcased at the ST Global Summit

In April 2025, OpenMV N6 & AE3 garnered significant attention from numerous industry clients, developers, and AI enthusiasts during its global pre-launch on Kickstarter. With its high-performance AI image recognition, low-power design, and ease of development, it became a focal point in the market.

OpenMV N6 — High-Performance AI Image Recognition, Effortlessly Realising Complex Applications

OpenMV N6 is currently the most powerful machine vision module in the OpenMV series, combining the robust capabilities of a single-board computer with the agility of a microcontroller. It is specifically designed for efficient AI inference and image processing, making it suitable for applications such as robotics, industrial automation, drones, and smart surveillance.

Core Configuration – Powerful Algorithm and Image Processing Capabilities

●High-Performance Main Control Chip:Equipped with the STM32N6 processor, featuring an 800MHz Cortex-M55 CPU that supports the ARM Helium-accelerated CV library, delivering significantly enhanced performance compared to the previous H7 generation.

●NPU Acceleration:Integrated with a 1GHz 600 Giga OPS NPU, capable of running YOLO models at over 30 FPS, featuring a hardware-level AI neural processing unit.

●Multifunctional AI Image Recognition Algorithm:Efficient high-resolution image processing, capable of running gesture recognition, image segmentation, object detection, and other tasks smoothly and effortlessly.

●Efficient Video Stream Processing:Onboard GPU, equipped with an Image Signal Processor (ISP), integrates on-chip H.264 and JPEG hardware codecs, supporting MP4 video recording.

Supports various advanced camera modules

●PAG7936 - 1-Megapixel Colour Global Shutter Module,The OpenMV N6 comes standard with a camera module, offering a frame rate of up to 480 FPS per second, suitable for high-speed motion recognition in industrial applications.

●PS5520 - 5-Megapixel HDR Camera Module,Supports high-quality image capture, clearly recognising images in outdoor bright light or low-light scenarios.

●GENX320 - Event Camera Module:High Dynamic Range HDR sensor, which only recognises motion images, enables OpenMV to track moving objects at an extremely high frame rate (375 FPS+).

●Infrared Thermal Imaging + RGB Colour Image Dual Mode:More convenient operation for high-resolution thermal imaging image recognition and simultaneous comparison with visible light images.

Rich features and peripheral interfaces

●More Diverse Intelligent Applications:Onboard Wi-Fi, Bluetooth BLE v5.2, supports Ethernet, high-speed USB-HS, equipped with IMU attitude sensor, accelerometer, microphone, and UHS-I μSD card slot.

●Rich interfaces, easier integration:Provides 18 GPIO and SWD/JTAG debugging interfaces, allowing connection to any electronic device. Built-in 3.7V lithium battery charge and discharge management, facilitating integration into terminal equipment.

●Extremely Low Power Consumption:In deep sleep mode, power consumption is as low as 1mA, providing a battery life of up to one year. At full power, the entire device operates with a power consumption of only 0.75W (180mA@5V).

OpenMV AE3 – Coin-sized only, ultra-compact and easy to integrate

OpenMV AE3 is the most advanced model we have developed to dateSmallest size, lowest power consumptionThe OpenMV smart camera is designed for application scenarios with high demands on space and power consumption. Low-power mobile AI is now available!

Extremely compact size, high performance

● The size is only 1 inch x 1 inch (2.54cm x 2.54cm), and a protective case is provided.

●Dual-core processor:Alif Ensemble E3, dual-core Cortex-M55 CPU with vector acceleration.

●Dual-core NPU:Running the YOLO model at up to 30+ FPS. It also has a built-in GPU to accelerate image scaling.

● Full power operation power consumption is only 0.25W (60mA@5V). In deep sleep mode, power consumption is below 2.5mW (500uA@5V), and it can be awakened by sound, motion, date, or time, achieving "grade-level" battery life.

Multimodal Sensing, Effortlessly Embedding AI Machine Vision into Any Device

●Built-in Multi-Sensor:1MP high frame rate 200FPS colour global shutter camera module, IMU attitude sensor, microphone, 8x8ToF distance sensor, data can be directly connected to NPU for processing.

●Interface Extension:It can be connected to the external world via USB-HS, WiFi/BLE Bluetooth, or Qwiic. Abundant GPIO pins are available for SPI, I2C, I3C, UART, and PWM control.

Dual-core power, capable of running AI models simultaneously.

● Dual-core collaborative AI model operation: The low-power core can independently process sensor data and run NPU-accelerated AI models, while the main core remains in sleep mode to conserve energy, waking up for photography or data transmission only when triggered by events.

● Both cores utilise dedicated areas of 13.5MB on-chip SRAM, enabling the simultaneous execution of complex applications.

● Access to peripherals such as GPIO pins and sensors including microphones, accelerometers, and gyroscopes is shared, enabling the distribution of application tasks across multiple cores.

OpenMV MP2 — The First OpenMV Running Linux System

In addition, we will launch another powerful and flexible new product—OpenMV MP2, which isThe first model running the Linux operating systemThe OpenMV allows for more convenient system-level development and application debugging.

The core features are as follows:

●Processor:STM32MP2,Dual-core A35 1.5GHz CPU, 2GB RAM, capable of rapidly processing higher resolution images and running more complex algorithms.

●NPU:Integration1.35 TOPS NPUAccelerating deep learning inference, efficiently running applications such as OCR, YOLO, facial recognition, gesture recognition, and human skeleton detection.

●Supports Standard Python, supports complete Python libraries such as NumPy, Requests, and more.

●Simultaneously supports both OpenMV and OpenCV algorithm libraries:You can directly run the original algorithms of OpenMV or directly call the algorithms of OpenCV, making it more convenient to develop image recognition algorithms and enhancing development flexibility.

●Rich Interfaces:Wi-Fi, Bluetooth, USB-C, Ethernet, and memory cards, among others, enable remote operation, suitable for more robotics, IoT, and edge computing scenarios.

The OpenMV MP2 integrates a more powerful processor and enhanced image processing capabilities, making it an ideal choice for industries such as industrial automation, autonomous driving, and the Internet of Things.

Coming Soon: Welcome to the New Era of OpenMV

The launch of OpenMV N6, OpenMV AE3, and OpenMV MP2 will drive AI transformation in the image recognition, machine vision, and artificial intelligence industries. Whether you are an entry-level developer or an industry expert, SingTown Technology's OpenMV will provide you with powerful and easy-to-use AI image recognition solutions.

These three new products will be officially launched soon. Stay tuned and enjoy an unprecedented AI smart experience!

OpenMV N6 and OpenMV MP2 will also be showcased at the STM32 China Summit from May 15th to 16th. Stay tuned!