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비전 인공지능 Himax HX6537 모듈 -OV2640, YOLO v5, Edge Impulse
(Grove - Vision AI Module with Himax HX6537
-OV2640, YOLO v5, Edge Impulse)
개요
- 본 제품은 비전 인공지능 Himax HX6537 모듈 -OV2640, YOLO v5, Edge Impulse 입니다.
- 인공지능이 탑재된 OV2640 카메라 센서 모듈로 Edge 머신 러닝 알고리즘을 지원합니다.
- 다양한 물체를 검출하는 프로젝트 등에 사용이 가능한 제품입니다.
- YOLO v5 등의 실시간 물체 검출 및 인식 알고리즘을 사용이 가능합니다.
특징
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Characteristic Value Operating Voltage 5 Rate 115200 I2C Interface Seeed Studio XIAO & Arduino Power Supply dual 7-pin connector & Type-C Downloading & Firmware Burn Interface Type-C Dimensions 40 * 20 * 13 Hardware Layout
Connector
Grove (Grove base for Arduino) 5V Charge and Data Transmission Double row 7pin socket (Seeed Studio XIAO) 5V Charge and Data Transmission USB Type-C 5V Charge and Firmware Burn Communication Mode IIC Processor Himax HX6537-A 400Mhz DSP (ultra-low power consumption) Camera Sensor OV2640 *Resolution Ratio up to 1600*1200 *The camera sensor resolution supports up to 1600*1200, and yet due to the limitation of inference speed, we set the highest display as 192*192.
문서
- Datasheet
- Grove - Vision AI Module
- Train and Deploy Your Own AI Model Into Vision AI
- The module features a compact AI-powered OV 2640 camera sensor 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.
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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.
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.
