{
    "summary": {
        "overall_match": "候选人具备3年机器视觉项目经验，核心技能与岗位高度匹配，项目成果量化清晰，综合匹配度极高。",
        "key_strengths": [
            "核心技能完全覆盖，精通视觉算法、上位机开发与硬件光路搭建",
            "具备丰富的复杂表面打光及AI深度学习应用经验，项目成果量化清晰"
        ],
        "key_concerns": [
            "期望薪资、当前所在城市及是否接受苏州工作未明确",
            "未明确表态是否接受月休4天（单休）及中短期出差安排"
        ],
        "recommendation_summary": "技术能力与项目经验高度契合岗位需求，简历呈现质量高，稳定性良好，建议推进面试并核实薪资期望与异地\/单休接受度。"
    },
    "hard_requirements_check": [
        {
            "requirement": "本科及以上学历，光学、自动化、测控、计算机等相关专业",
            "status": "met",
            "evidence": "候选人本科学历，机械电子工程专业，符合要求。"
        },
        {
            "requirement": "2年以上机器视觉项目经验（非纯售后调试）",
            "status": "met",
            "evidence": "候选人2023.07-2026.09在武汉裕仁担任机器视觉工程师，约3年2个月，包含完整项目开发经验。"
        },
        {
            "requirement": "熟练掌握视觉平台操作与配置，能独立搭建检测\/测量\/读码流程并完成参数调优",
            "status": "met",
            "evidence": "候选人熟练使用VisionPro进行测量、缺陷、定位引导算法开发，并独立完成C#上位机开发，具备完整流程搭建能力。"
        },
        {
            "requirement": "具备扎实的光学基础，掌握光源选型及复杂表面打光方案设计",
            "status": "met",
            "evidence": "候选人擅长硬件光路搭建，在项目中多次使用环形光源、偏振镜、无影光源等解决金属高反光、玻璃透光等复杂表面成像难题。"
        },
        {
            "requirement": "熟悉工业现场常用通信协议，能独立完成视觉系统与PLC\/上位机的数据对接调试",
            "status": "met",
            "evidence": "候选人掌握Modbus、TCP通讯，在项目中多次实现视觉系统与PLC、机械手的通讯对接与设备联动。"
        },
        {
            "requirement": "具备良好的文档撰写能力与客户沟通能力，能适应中短期出差",
            "status": "met",
            "evidence": "候选人输出过测试报告、操作手册并完成客户培训，自我评价表明能适应工厂现场调试及出差。"
        }
    ],
    "dimensions": [
        {
            "name": "tech_power",
            "raw_score": 95,
            "confidence_level": "high",
            "jd_requirement": "精通视觉平台操作、光学打光设计、通信协议对接，具备AI\/3D应用经验优先",
            "resume_fulfillment": "核心技能高度满足，熟练使用VisionPro与C#开发，精通复杂表面打光方案，具备深度学习AI应用经验，项目成果量化且优秀。"
        },
        {
            "name": "stability",
            "raw_score": 75,
            "confidence_level": "medium",
            "jd_requirement": "未明确说明，依据历史任职年限评估稳定性",
            "resume_fulfillment": "最近一段正式工作经历（武汉裕仁）任职约38个月，超过24个月，视为稳定。"
        },
        {
            "name": "salary_match",
            "raw_score": 50,
            "confidence_level": "low",
            "jd_requirement": "10-15K",
            "resume_fulfillment": "候选人未提供期望薪资，信息缺失，无法评估匹配度。"
        },
        {
            "name": "pace_match",
            "raw_score": 70,
            "confidence_level": "medium",
            "jd_requirement": "苏州工作，月休4天（单休），适应中短期出差，可随时到岗",
            "resume_fulfillment": "候选人可随时到岗，有工厂现场调试经验能适应出差与现场节奏，但未明确说明当前城市、是否接受苏州异地及单休安排。"
        },
        {
            "name": "communication",
            "raw_score": 95,
            "confidence_level": "high",
            "jd_requirement": "此项为简历信息表达质量评估，JD无直接要求",
            "resume_fulfillment": "简历结构清晰，模块完整，项目经历采用STAR法则描述，背景、动作与量化结果（精度、漏检率、UPH等）表述非常清晰。"
        }
    ],
    "match_score": 83.6,
    "overall_confidence": 0.87,
    "information_coverage": 0.95,
    "bonus_items": [
        {
            "dimension": "tech_power",
            "reason": "技术匹配原始分95，具备AI深度学习应用经验且项目成果高度量化",
            "bonus_impact": 7.5
        },
        {
            "dimension": "communication",
            "reason": "简历呈现原始分95，项目描述结构严谨、数据详实",
            "bonus_impact": 0.75
        }
    ],
    "risks": {
        "hard_constraint_risks": [],
        "confirmed_high_risks": [],
        "potential_risks": []
    },
    "missing_information": [
        "候选人未提供期望薪资，无法评估与10-15K预算的匹配度",
        "候选人未说明当前所在城市及是否接受苏州工作",
        "候选人未明确表态是否接受月休4天（单休）及中短期出差安排"
    ],
    "recommendation": "strong_approve"
}

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