摘要
园区无人驾驶清洁车垃圾识别技术是一项基于人工智能和机器视觉的创新技术,旨在提高园区清洁效率和垃圾分类的准确性。文章研究并实现了一种基于类脑智能和大数据技术融合的、可适应不同距离的垃圾图形数据去噪和精简处理技术。该技术利用先进的图像识别算法和深度学习模型,能自动识别和分类不同类型的垃圾。通过搭载高分辨率摄像头和传感器,该技术能实时捕捉园区内的垃圾图像,并将其传输到云端进行分析和处理。
Garbage recognition technology of autonomous cleaning vehicle in the park is an innovative technology based on Artificial Intelligence and machine vision,which aims to improve the cleaning efficiency of the park and the accuracy of garbage classification.This paper studies and implements a denoising and simplification processing technology of garbage graphic data based on the fusion of Brain-inspired Intelligence and big data technology,which can adapt to different distances.This technology uses advanced image recognition algorithms and deep learning models to automatically recognize and classify different types of garbage.By carrying high-resolution cameras and sensors,this technology can capture garbage images in the park in real time and transmit them to the cloud for analysis and processing.
作者
黄玲
HUANG Ling(Guangdong Engineering Polytechnic,Guangzhou 510520,Guangdong,China)
出处
《工程技术研究》
2024年第10期228-230,共3页
Engineering and Technological Research
关键词
无人驾驶清洁车
垃圾识别
类脑智能
大数据技术
autonomous cleaning vehicle
garbage recognition
Brain-inspired Intelligence
big data technology
