类脑智能垃圾识别技术研究
Research on Brain-inspired Intelligence Garbage Recognition Technology
黄玲1
作者信息
- 1. 广东工程职业技术学院,广东 广州 510520
- 折叠
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.
Abstract
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.
关键词
无人驾驶清洁车/垃圾识别/类脑智能/大数据技术Key words
autonomous cleaning vehicle/garbage recognition/Brain-inspired Intelligence/big data technology引用本文复制引用
出版年
2024
NETL
NSTL
万方数据