基于PaddleOCR深度学习框架的智能船牌检测与管理系统_船牌识别_船只监控_非法船只预警_自动化流程_环境保护_禁渔期监管_河流管理_天网摄像头_百度飞桨_模型训练_数据集构建.zip

上传者: 2401_89451588 | 上传时间: 2025-09-17 00:51:42 | 文件大小: 7.04MB | 文件类型: ZIP
随着人工智能技术的快速发展,基于深度学习的智能图像识别技术已经广泛应用于各个领域,尤其在交通运输管理方面,如智能船牌检测与管理系统,具有重要的研究价值和实际应用前景。智能船牌检测系统利用深度学习框架PaddleOCR,结合河流监控场景需求,实现了对船牌的精确识别。该系统能够在复杂背景下快速准确地识别船只,对推动智能航运和智慧河流管理具有积极的意义。 智能船牌检测与管理系统主要功能包括船牌识别、船只监控、非法船只预警、自动化流程以及环境保护等方面。在船牌识别方面,系统能够准确捕捉河面上的船只,并自动识别船牌信息,提高航运管理的效率和准确性。在船只监控方面,系统可以全天候不间断地监控河面船只的动态,为河运安全和应急响应提供技术支持。非法船只预警是通过事先设定的监控规则,一旦发现可疑船只或违法行为,系统能够及时发出预警信号,有效预防和打击非法捕捞、走私等违法行为。 该系统在自动化流程方面,通过自动化的数据采集和处理流程,减轻了人工劳动强度,提高了工作效率。在环境保护方面,系统通过监控河流使用状况,能够为禁渔期监管和河流管理提供决策支持,从而促进水资源的可持续利用。此外,该系统还集成了天网摄像头技术,能够实现对河流区域的全天候监控,提高监控的实时性和准确性。 智能船牌检测与管理系统依托于百度飞桨(PaddlePaddle)这一开源深度学习平台,该平台提供了丰富的深度学习模型和工具,能够加速模型训练和数据集构建。在模型训练方面,系统通过大量样本训练,不断提升识别精度,确保在各种复杂环境下的准确识别。数据集构建是深度学习的核心环节,通过收集和预处理大量的图像数据,为训练出高质量的船牌识别模型提供了基础。 智能船牌检测与管理系统结合PaddleOCR深度学习框架,不仅提升了航运监控的自动化和智能化水平,还为环境保护和河流管理提供了强有力的科技支撑。该系统的推广和应用,将对提升河流治理能力,优化航运管理,保障水域安全,以及推动智能河流生态建设起到关键作用。

文件下载

资源详情

[{"title":"( 204 个子文件 7.04MB ) 基于PaddleOCR深度学习框架的智能船牌检测与管理系统_船牌识别_船只监控_非法船只预警_自动化流程_环境保护_禁渔期监管_河流管理_天网摄像头_百度飞桨_模型训练_数据集构建.zip","children":[{"title":"clipper.cpp <span style='color:#111;'> 138.61KB </span>","children":null,"spread":false},{"title":"adaptor.cpp <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"附赠资源.docx <span style='color:#111;'> 41.95KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 11B </span>","children":null,"spread":false},{"title":"cast.h <span style='color:#111;'> 85.07KB </span>","children":null,"spread":false},{"title":"pybind11.h <span style='color:#111;'> 82.17KB </span>","children":null,"spread":false},{"title":"numpy.h <span style='color:#111;'> 63.93KB </span>","children":null,"spread":false},{"title":"pytypes.h <span style='color:#111;'> 49.65KB </span>","children":null,"spread":false},{"title":"common.h <span style='color:#111;'> 39.12KB </span>","children":null,"spread":false},{"title":"eigen.h <span style='color:#111;'> 28.53KB </span>","children":null,"spread":false},{"title":"class_support.h <span style='color:#111;'> 23.45KB </span>","children":null,"spread":false},{"title":"stl_bind.h <span style='color:#111;'> 20.27KB </span>","children":null,"spread":false},{"title":"attr.h <span style='color:#111;'> 17.65KB </span>","children":null,"spread":false},{"title":"stl.h <span style='color:#111;'> 12.71KB </span>","children":null,"spread":false},{"title":"operators.h <span style='color:#111;'> 8.45KB </span>","children":null,"spread":false},{"title":"descr.h <span style='color:#111;'> 7.51KB </span>","children":null,"spread":false},{"title":"embed.h <span style='color:#111;'> 7.17KB </span>","children":null,"spread":false},{"title":"chrono.h <span style='color:#111;'> 6.44KB </span>","children":null,"spread":false},{"title":"lanms.h <span style='color:#111;'> 5.77KB </span>","children":null,"spread":false},{"title":"buffer_info.h <span style='color:#111;'> 4.20KB </span>","children":null,"spread":false},{"title":"eval.h <span style='color:#111;'> 3.75KB </span>","children":null,"spread":false},{"title":"functional.h <span style='color:#111;'> 2.87KB </span>","children":null,"spread":false},{"title":"options.h <span style='color:#111;'> 1.96KB </span>","children":null,"spread":false},{"title":"complex.h <span style='color:#111;'> 1.90KB </span>","children":null,"spread":false},{"title":"typeid.h <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"clipper.hpp <span style='color:#111;'> 14.96KB </span>","children":null,"spread":false},{"title":"inference.pdiparams.info <span style='color:#111;'> 19.38KB </span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'> 94.08KB </span>","children":null,"spread":false},{"title":"2.jpg <span style='color:#111;'> 89.57KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 365B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.70KB </span>","children":null,"spread":false},{"title":"readme.md <span style='color:#111;'> 293B </span>","children":null,"spread":false},{"title":"readme_ch.md <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"inference.pdiparams <span style='color:#111;'> 527.32KB </span>","children":null,"spread":false},{"title":"inference.pdmodel <span style='color:#111;'> 865.92KB </span>","children":null,"spread":false},{"title":"Ship_White.png <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"sast_process.py <span style='color:#111;'> 30.40KB </span>","children":null,"spread":false},{"title":"sast_process.py <span style='color:#111;'> 28.61KB </span>","children":null,"spread":false},{"title":"east_process.py <span style='color:#111;'> 20.61KB </span>","children":null,"spread":false},{"title":"SND_UI.py <span style='color:#111;'> 17.38KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 16.96KB </span>","children":null,"spread":false},{"title":"east_process.py <span style='color:#111;'> 16.92KB </span>","children":null,"spread":false},{"title":"img_tools.py <span style='color:#111;'> 14.95KB </span>","children":null,"spread":false},{"title":"self_attention.py <span style='color:#111;'> 14.54KB </span>","children":null,"spread":false},{"title":"utility.py <span style='color:#111;'> 14.47KB </span>","children":null,"spread":false},{"title":"dataset_traversal.py <span style='color:#111;'> 13.68KB </span>","children":null,"spread":false},{"title":"rec_img_aug.py <span style='color:#111;'> 12.68KB </span>","children":null,"spread":false},{"title":"sast_postprocess.py <span style='color:#111;'> 12.44KB </span>","children":null,"spread":false},{"title":"tps.py <span style='color:#111;'> 11.16KB </span>","children":null,"spread":false},{"title":"predict_rec.py <span style='color:#111;'> 11.03KB </span>","children":null,"spread":false},{"title":"rec_postprocess.py <span style='color:#111;'> 10.87KB </span>","children":null,"spread":false},{"title":"tps.py <span style='color:#111;'> 10.76KB </span>","children":null,"spread":false},{"title":"rec_attention_head.py <span style='color:#111;'> 10.62KB </span>","children":null,"spread":false},{"title":"sast_fpn.py <span style='color:#111;'> 10.61KB </span>","children":null,"spread":false},{"title":"rec_srn_head.py <span style='color:#111;'> 10.59KB </span>","children":null,"spread":false},{"title":"rec_resnet_fpn.py <span style='color:#111;'> 10.52KB </span>","children":null,"spread":false},{"title":"SND_Client.py <span style='color:#111;'> 10.41KB </span>","children":null,"spread":false},{"title":"rec_srn_all_head.py <span style='color:#111;'> 9.89KB </span>","children":null,"spread":false},{"title":"rec_model.py <span style='color:#111;'> 9.87KB </span>","children":null,"spread":false},{"title":"label_ops.py <span style='color:#111;'> 9.62KB </span>","children":null,"spread":false},{"title":"det_mobilenet_v3.py <span style='color:#111;'> 9.56KB </span>","children":null,"spread":false},{"title":"det_resnet_vd_sast.py <span style='color:#111;'> 9.31KB </span>","children":null,"spread":false},{"title":"rec_resnet_vd.py <span style='color:#111;'> 9.20KB </span>","children":null,"spread":false},{"title":"det_resnet_vd.py <span style='color:#111;'> 9.06KB </span>","children":null,"spread":false},{"title":"character.py <span style='color:#111;'> 8.88KB </span>","children":null,"spread":false},{"title":"predict_det.py <span style='color:#111;'> 8.41KB </span>","children":null,"spread":false},{"title":"learning_rate.py <span style='color:#111;'> 8.16KB </span>","children":null,"spread":false},{"title":"db_process.py <span style='color:#111;'> 8.07KB </span>","children":null,"spread":false},{"title":"eval_det_iou.py <span style='color:#111;'> 8.05KB </span>","children":null,"spread":false},{"title":"rec_att_head.py <span style='color:#111;'> 7.68KB </span>","children":null,"spread":false},{"title":"det_basic_loss.py <span style='color:#111;'> 7.19KB </span>","children":null,"spread":false},{"title":"operators.py <span style='color:#111;'> 7.17KB </span>","children":null,"spread":false},{"title":"predict_system.py <span style='color:#111;'> 6.68KB </span>","children":null,"spread":false},{"title":"random_crop_data.py <span style='color:#111;'> 6.64KB </span>","children":null,"spread":false},{"title":"dataset_traversal.py <span style='color:#111;'> 6.43KB </span>","children":null,"spread":false},{"title":"warp_mls.py <span style='color:#111;'> 6.19KB </span>","children":null,"spread":false},{"title":"optimizer.py <span style='color:#111;'> 6.04KB </span>","children":null,"spread":false},{"title":"det_model.py <span style='color:#111;'> 6.02KB </span>","children":null,"spread":false},{"title":"east_fpn.py <span style='color:#111;'> 5.73KB </span>","children":null,"spread":false},{"title":"warp_mls.py <span style='color:#111;'> 5.72KB </span>","children":null,"spread":false},{"title":"dataset_traversal.py <span style='color:#111;'> 5.64KB </span>","children":null,"spread":false},{"title":"predict_cls.py <span style='color:#111;'> 5.62KB </span>","children":null,"spread":false},{"title":"make_border_map.py <span style='color:#111;'> 5.58KB </span>","children":null,"spread":false},{"title":"save_load.py <span style='color:#111;'> 5.57KB </span>","children":null,"spread":false},{"title":"db_postprocess.py <span style='color:#111;'> 5.47KB </span>","children":null,"spread":false},{"title":"rec_mobilenet_v3.py <span style='color:#111;'> 5.39KB </span>","children":null,"spread":false},{"title":"subSND.py <span style='color:#111;'> 5.23KB </span>","children":null,"spread":false},{"title":"randaugment.py <span style='color:#111;'> 5.22KB </span>","children":null,"spread":false},{"title":"randaugment.py <span style='color:#111;'> 5.09KB </span>","children":null,"spread":false},{"title":"det_sast_loss.py <span style='color:#111;'> 5.08KB </span>","children":null,"spread":false},{"title":"east_postprocess.py <span style='color:#111;'> 5.07KB </span>","children":null,"spread":false},{"title":"det_sast_loss.py <span style='color:#111;'> 4.96KB </span>","children":null,"spread":false},{"title":"locality_aware_nms.py <span style='color:#111;'> 4.82KB </span>","children":null,"spread":false},{"title":"make_border_map.py <span style='color:#111;'> 4.80KB </span>","children":null,"spread":false},{"title":"det_sast_head.py <span style='color:#111;'> 4.63KB </span>","children":null,"spread":false},{"title":"det_db_head.py <span style='color:#111;'> 4.57KB </span>","children":null,"spread":false},{"title":"random_crop_data.py <span style='color:#111;'> 4.56KB </span>","children":null,"spread":false},{"title":".ycm_extra_conf.py <span style='color:#111;'> 4.31KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明