(as of Apr 06, 2024 01:59:02 UTC – Details)
Product Description
Artificial Intelligence camera (AI camera) is the enhanced camera powered by a built-in Edge Machine Learning algorithm, smartly processing with computational photography to perform enhanced object detection in real-time. It has been widely used in smartphones for face recognition, edge devices for wildlife detection, and other Edge Intelligence applications.
This compact camera sensor will be the perfect module for you to get started with the AI-powered camera. It is installed with one pre-trained model that allows you to detect human faces. Furthermore, it has been installed with three ML classification algorithms for model recognition, which allows you to freely develop the models for detecting different objects and directly apply them to your projects.
Launched by Seeed Studio, the IoT hardware enabler, the sensor includes two typical IoT modules: a digital microphone and a 6-axis Inertial Measurement Unit (IMU), for your further usage of edge AI. The official software is still under development and will be published in a short term.
Specification
Operating Voltage 5 Rate 115200 I2C Interface Seeed Studio XIAO & Arduino Power Supply dual 7-pin connector & Type-C Interface Type-C💙【Compact AI Camera】Equipped with OV2640 SOC sensor that supports auto-exposure and auto-white balance to offer clear images.
💙【Simple Development & Deployment】This Sensor Support Arduino IDE programming and drag-and-drop model implementation. And Seeed Studio has provided detailed and step-by-step guides for users to get started.
💙【Use YOLOv5 to Build Detect Models】YOLO is an abbreviation for the term ‘You Only Look Once‘. It is an algorithm that detects and recognizes various objects in an image in real-time. Ultralytics YOLOv5 is the version of YOLO based on the PyTorch framework.
💙【Wide Compatibility】 Perfectly match with XIAO series interface, support Raspberry Pi and Arduino ecology through Grove connector.