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聪明的起飞

2025,03,08
启动AI面部识别出勤系统,以通过数字管理增强有效的生产
江因,2025年3月1日** - 今天,Jiangyin Yalong热交换器设备有限公司(以下称为“ Yalong Company”)正式启动了新的一代综合面部识别出勤系统,这标志着这家领先的家居热交换器制造商迈向了智能管理的重要一步。通过将AI技术与生产管理深入集成,该公司旨在优化员工出勤流程,提高通勤效率,降低非生产性时间,并将数字动量注入其生产运营中。
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传统出勤疼痛点驱动管理升级
作为一家高端设备制造商,年产率超过2亿元人民币,Yalong拥有200多名员工,并经营三班生产计划。以前,诸如IC卡和指纹识别之类的传统出勤方法通常会在高峰时段引起交通拥堵,每次登机手续需要5到15分钟。这导致了超过800个小时的每月闲置时间。此外,诸如代理时钟插入和延迟数据统计等问题阻碍了生产计划和绩效评估。
Yalong的管理层说:“制造竞争的本质在于效率。” “采用智能出勤系统不仅可以通过优化时间利用来解决管理缺陷,还可以解决生产潜力。”
无缝入住 +智能分析:重新定义效率
新部署的AI面部识别系统结合了最先进的技术:红外耐受性检测,以防止欺诈性入住,0.3秒的超快速识别以消除排队,并与公司的ERP系统无缝集成,以实时出勤率热图和隔离警报。开创性的“生产效率相关模块”跨引用数据与生产线绩效进行了优化调整计划。
根据预测,每日雇员的入住时间将从5分钟下降到10秒以下,每月闲置小时减少85%。人力资源局局长李·钦克斯(Li Chenxia)指出:“该系统确定了高峰迟到和早期出发期,使我们能够调整班车时间表并改善守时。”
授予技术授权的双赢影响
在生产地上,员工在越过设备时无缝完成检查。焊缝团队负责人张表示:“现在,轮班移交更光滑,每天腾出15分钟的时间进行设备预热。”后端数据显示,第一个试验日的准时出勤率为99.2%,比上个月增加了6%。
该系统的影响扩展到战略决策:对跨团队的出勤趋势的分析促使对夜班津贴进行调整,而维护人员根据实时出勤数据进行了优化的检查路线。财务官员证实,这些改进预计每年将节省约150万元的隐藏成本。”
连续探索数字化转型
Yalong的技术发展仍然不懈:在2023年建立了5G智能工厂并在2024年采用了数字双胞胎系统之后,该出勤升级代表了其“智能制造2025”策略的另一个里程碑。正在计划扩大面部识别以访问控制和仓库管理,并建立一个全面的智能生态系统。
该公司强调:“数字化转型不是一种选择,而是制造的必要性。” “我们正在从'制造业'加速到'智能制造业,通过创新推动效率。”行业分析师强调了Yalong作为传统制造商的可复制模型的实践,并指出其数据驱动的方法可以解锁“时间股息”,这可能会催化整个长长河三角洲制造业的连锁反应。
随着AI出勤系统的运行,这家国家高科技企业正在通过技术重塑生产管理,在质量和效率的追踪上冲刺,并为“中国智能制造”的转型和升级增添了生动的脚注。
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