发表机构
University of Science and Technology of China; Anhui GuoKe Vision PixelX Optoelectronics Technology Co., Ltd.（中国科学技术大学; 安徽国科视像素光电科技有限公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对多探测器科学相机表征缺乏标准化的问题，提出PixelXVision分层软件平台，通过通用SDK、预设配置和插件系统实现跨型号自动化测试，并集成ChatPixel助手，已应用于多种相机测试。
AI 中文摘要
多探测器项目，如地球2.0（ET），要求在不同技术、运行条件和生产批次下进行探测器表征，并采用一致的操作、表征和器件选择程序。传统的实验室工作流程通常将相机控制、照明、图像分析和报告生成分散在特定于探测器的程序和手动步骤中，这减缓了迭代开发并阻碍了标准化表征。我们通过PixelXVision来解决这一不足，这是一个分层软件平台，结合了通用相机SDK、基于预设的配置和运行时插件系统。探测器特定行为通过声明式预设进行配置，使得同一主机接口能够操作CCD、CMOS和红外探测器，而无需针对特定型号的核心更改。表征过程以插件形式实现，使用共享对象管理器访问相机、照明、存储和数据库服务。每次运行将原始帧、测量的运行条件、配置、分析产品和报告链接到一个带有可查询索引的可追溯存档中。该平台支持用于迭代式单探测器开发的轻量级部署，以及用于多探测器活动的结构化工作流程。该平台已应用于CMOS、CCD和HgCdTe相机的表征测试，其可配置架构能够容纳额外的相机型号，用于后续WFST的CCD测试，而无需对核心主机软件进行特定型号的更改。对于操作故障排除，该平台集成了ChatPixel，一个知识库助手，当它拥有相关信息时，提供带有引用来源的答案。
英文摘要
Multi-detector programs such as Earth 2.0 (ET) require detector characterization across different technologies, operating conditions, and production batches, together with consistent procedures for operation, characterization, and device selection. Traditional laboratory workflows often distribute camera control, illumination, image analysis, and report generation across detector-specific programs and manual steps, slowing iterative development and hindering standardized characterization. We address this gap with PixelXVision, a layered software platform that combines a common camera SDK, preset-based configuration, and a runtime plugin system. Detector-specific behavior is configured through declarative presets, allowing the same host interface to operate CCD, CMOS, and infrared detectors without model-specific core changes. Characterization procedures are implemented as plugins that use a shared object manager to access camera, illumination, storage, and database services. Each run links raw frames, measured operating conditions, configuration, analysis products, and reports into a traceable archive with a queryable index. The platform supports lightweight deployment for iterative single-detector development and structured workflows for multi-detector campaigns. The platform has been applied in characterization testing across CMOS, CCD, and HgCdTe cameras, and its configurable architecture can accommodate additional camera models for subsequent CCD testing for WFST without model-specific changes to the core host software. For operational troubleshooting, the platform integrates ChatPixel, a knowledge-base assistant that provides answers with cited sources when it has relevant information.
