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        "phone": "18939331318",
        "email": "3531059882@qq.com",
        "age": "",
        "birth_date": "",
        "location": "",
        "work_years": "2.2"
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    "education": [
        {
            "school": "郑州工程技术学院",
            "major": "",
            "degree": "本科",
            "graduation_year": "2025\/06"
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    ],
    "job_intention": {
        "expected_position": "机器视觉应用工程师",
        "expected_salary": "10K-15K",
        "expected_city": "",
        "availability": "一周内"
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    "skills": [
        "C#\/WinForm",
        "VisionProToolBlock脚本",
        "VisionMaster全局脚本二次开发",
        "VisionPro",
        "VisionMaster",
        "Halcon",
        "TCP通信",
        "网口通信",
        "串口通信",
        "西门子PLC通信",
        "定位引导",
        "尺寸测量",
        "缺陷检测",
        "OCR",
        "九点标定",
        "旋转中心标定",
        "相机镜头光源选型",
        "打光验证",
        "SQL"
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    "work_experience": [
        {
            "company": "北京合志永通轨道装备有限公司",
            "position": "机器视觉应用工程师",
            "duration": "2024\/08 - 2026\/10",
            "description": "1、在2-3人视觉团队中，负责项目前期相机、镜头、光源选型与打光验证。\n2、独立完成视觉程序编写与现场调试，覆盖定位引导、尺寸检测、字符识别与缺陷检测。\n3、参与新项目软件框架开发，以及视觉与客户端系统、PLC之间的数据交互与联锁调试。\n4、处理现场调试问题，保障项目进度与交付质量。"
        }
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    "project_experience": [
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            "name": "车载摄像头模组镜座贴合项目",
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            "duration": "",
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        },
        {
            "name": "六角螺母外观尺寸筛选机项目",
            "role": "",
            "duration": "",
            "description": "项目描述：三台相机+玻璃转盘飞拍全检，替代人工目检，覆盖螺纹烂牙、缺牙、端面磕碰、侧面裂纹与尺寸偏差。\n漏检率由3.8%降至0.1%以下，误检率由10%降至1.5%。\n尺寸测量精度±0.02mm，产能200片\/分钟。\n重构三工位成像方案，增加侧向与底部相机，消除原方案的检测盲区。\n改进判定规则，使系统能区分油污与真实缺陷，解决来料油污造成的批量误判；换型时间由2小时缩短至20分钟。"
        },
        {
            "name": "动力电池极柱视觉点胶检测项目",
            "role": "",
            "duration": "",
            "description": "项目描述：2D视觉定位+三轴跟随点胶+胶路自检一体化，解决极柱来料位置偏差与点胶质量在线监控问题。\n定位精度±0.04mm，胶宽波动控制在±0.03mm，节拍7s\/件。\n胶路断胶检出率由95%提升至99.2%，胶路检测方式由整体评估改为逐段测量。\n针对金属极柱强反光重新设计打光方案，并增加高度标定与轨迹前馈，消除高速跟随滞后与起收弧缺胶。"
        },
        {
            "name": "手机中框外观缺陷检测项目",
            "role": "",
            "duration": "",
            "description": "项目描述：多角度成像+VisionTrain深度学习外观检测，替代人工目检CNC中框的划伤、崩边、压伤、脏污与色差问题。\n过杀率由15%降至1.2%，缺陷检出率保持98.5%以上。\n检测节拍3.2s\/件，满足产线≤4s要求。\n设计四向低角度分向成像方案；扩充训练样本并重点补充易误判良品，同时引入分级判定，以此作为过杀下降的主要手段。"
        }
    ],
    "certifications": [],
    "self_evaluation": "具有较强的适应能力，有很强的协助能力以及团队精神。善于去学习机器视觉相关技术，不断提高自身技能。对自己的工作细心负责，能在高压的工作环境保持高效工作。接受出差，接受加班。"
}

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