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基于嵌入式图像识别的智能车库系统

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随着汽车数量的高速增长,城市的交通负荷快速攀升,城市交通对于停车场的需求越来越大,大部分城市都存在停车难、车辆管理成本高的问题.作为公路交通系统中的重要成员,停车场发展速度远远赶不上汽车的发展速度,无法满足人们对日常停车的需求.针对上述问题,介绍了一种创新的智能车库系统,基于K210 图像识别技术,旨在提高车库管理效率,提供便捷的停车体验.该系统利用K210 芯片的强大计算能力和深度学习算法,实现了车辆的自动识别、定位和导航功能,为城市交通管理带来了新的解决方案.
Intelligent Garage System Based on Embedded Image Recognition
With the rapid growth in the number of automobiles,urban traffic congestion has surged,leading to a signifi-cant increase in the demand for parking facilities in cities.Many cities face challenges such as difficulties in finding parking spaces and high vehicle management costs.As a vital component of the road transportation system,parking facilities have struggled to keep up with the pace of automobile growth,failing to meet the daily parking needs of the population.To ad-dress these issues,this paper introduces an innovative intelligent garage system based on K210 image recognition technol-ogy,aiming to enhance the efficiency of garage management and parking experiences.Leveraging the powerful computa-tional capabilities of the K210 chip and deep learning algorithms,the system achieves automatic vehicle recognition,posi-tioning,and navigation,offering a new solution for urban traffic management.

K210image recognitionintelligent garage systemdeep learning

王梁、林子祺、刘欣、胡晨、朱韬强

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梧州学院电子信息工程学院,广西机器视觉与智能控制重点实验室,广西 梧州 543003

K210 图像识别 智能车库系统 深度学习

2024

工业控制计算机
中国计算机学会工业控制计算机专业委员会 江苏省计算技术研究所有限责任公司

工业控制计算机

影响因子:0.258
ISSN:1001-182X
年,卷(期):2024.37(10)