Grove-Vision AI Module 搭配Himax HX6537-A / OV2640 AI視覺 攝像頭 Camera

Meet the new member of Grove Family: Grove Vision AI Module. The module features a compact AI-powered camera embedded with Edge Machine Learning algorithms and can be easily deployed with simple clicks. It is a small and great assistant for various object detection projects and can be customized based on different needs. Just imagine endowing devices with vision through a tiny sensor.

Key Features

• Customizable Model: Support the import of up to 3 customized models to realize mainstream ML functions like object detection
• Compact AI camera: Equipped with OV2640 SOC sensor that supports auto-exposure and auto-white balance to offer good images
• Simple development & deployment: Support Arduino IDE programming and drag-and-drop model implementation
• Plentiful documentation resource: Provide detailed and step-by-step guides for users to get started
• High compatibility: Perfectly match with XIAO series interface, support Raspberry Pi and Arduino ecology through Grove connector

Artificial Intelligence camera (AI camera) is the enhanced camera powered by a build-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.

Use YOLOv5 to Build Detect Models of Your Own

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. Based on its repository, Seeed Studio has published a more suitable version that fits in Seeed Studio AIoT hardware/devices. You can use this repository to build detect models of your own. They can not only be implemented on the Grove vision AI module but also on the industrial-level SenseCAP A1101 – LoRaWAN Vision AI Sensor.

Meanwhile, we have provided a specific tutorial to show you how to train the AI model for specific applications and then deploy it onto the devices.

Application

• People Detection
• Customized Object Detection
• Smart Doorkeeper
• Fall Detection & Alarm
• Face Recognition

Specification

Hardware Layout