SBIR Phase II: Real-time Camera Analysis and Process Tracking (ReCAPT)

SBIR 第二阶段：实时相机分析和过程跟踪 (ReCAPT)

• 批准号: 1127542
• 负责人: Kenny Kubala
• 金额: $ 50万
• 依托单位: FiveFocal LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1127542&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Real; time

This Small Business Innovation Research (SBIR) Phase II project will develop and test real-time process monitoring systems to support manufacturing of miniature digital cameras. Rapid growth in unit volume of digital cameras for cellphones and consumer goods has outpaced the industry?s manufacturing process monitoring technology. Except for simple pass/fail outgoing quality tests, high volume camera manufacturers lack any system for in-line, real-time monitoring of production errors that cause low yields, high production costs, and delay new product introduction. The Real-time Camera Analysis and Process Tracking algorithm, ReCAPT, integrates with existing production equipment to identify manufacturing errors and trends before product quality is compromised. ReCAPT leverages outgoing QC data, along with novel design-aware algorithms to identify assembly and fabrication errors and improve the manufacturing process. The Phase II objectives include optimizing the data collection hardware and pre-processing software, automating and generalizing the algorithm initialization, and integrating ReCAPT into the production environment through improvements to the algorithm?s robustness. With a key commercialization partner, ReCAPT will be tested multiple times in actual production environments with potential customers reviewing the results. The results will determine the achievable improvement in production efficiency, and quantify ReCAPT?s economic value to manufacturers of digital cameras.The broader impact/commercial potential of this project involves improving yields in the production of miniature camera lenses. Over one billion miniature digital cameras produced annually supply the explosive growth in cell phones and other mobile consumer electronics. The pursuit of cost reduction has led to development of wafer-level manufacturing where thousands of camera lenses are simultaneously fabricated, affixed to a wafer of image sensors and then diced ? potentially eliminating the need for individual component assembly. By improving yields and lowering costs, ReCAPT will enable the rapid adoption of wafer-level and other automated, capital intensive camera manufacturing technologies. The broader impact is the development of manufacturing technologies that rely on automation and precision engineering instead of manual labor, enabling US companies to gain traction in the growing $15 Billion annual digital camera market. The statistical manufacturing process data supplied by ReCAPT enables real-time control of manufacturing, reduces new product risk, and allows more aggressive development of innovative camera technology. Sold as an enhancement to existing automated manufacturing equipment, the ReCAPT software product will increase profit for component manufacturers, improve product performance and performance consistency for consumer goods manufacturers.

这个小型企业创新研究（SBIR）第二阶段项目将开发和测试实时过程监控系统，以支持微型数码相机的制造。 用于手机和消费品的数码相机的单位体积的快速增长已经超过了行业？的制造过程监控技术。 除了简单的合格/不合格出厂质量测试外，大批量相机制造商缺乏任何在线实时监控生产错误的系统，这些错误导致产量低，生产成本高，并延迟新产品的推出。 实时相机分析和过程跟踪算法ReCAPT与现有生产设备集成，可在产品质量受损之前识别制造错误和趋势。 ReCAPT利用输出的QC数据，沿着新颖的设计感知算法，以识别装配和制造错误并改进制造过程。 第二阶段的目标包括优化数据采集硬件和预处理软件，自动化和推广算法初始化，并通过改进算法将ReCAPT集成到生产环境中。的鲁棒性。 与一个关键的商业化合作伙伴一起，ReCAPT将在实际生产环境中进行多次测试，潜在客户将审查结果。 结果将确定生产效率的可实现的改进，并量化ReCAPT？该项目的更广泛的影响/商业潜力包括提高微型相机镜头生产的产量。 每年生产的超过10亿个微型数码相机为手机和其他移动的消费电子产品的爆炸性增长提供了支持。 降低成本的追求导致了晶圆级制造的发展，其中数千个相机镜头同时制造，贴在图像传感器的晶圆上，然后切割？潜在地消除了对单个部件组装的需要。通过提高产量和降低成本，ReCAPT将能够快速采用晶圆级和其他自动化、资本密集型相机制造技术。更广泛的影响是依赖自动化和精密工程而不是手工劳动的制造技术的发展，使美国公司能够在每年增长150亿美元的数码相机市场中获得牵引力。 ReCAPT提供的统计制造过程数据可以实时控制制造过程，降低新产品风险，并允许更积极地开发创新相机技术。 作为现有自动化制造设备的增强功能，ReCAPT软件产品将增加零部件制造商的利润，提高消费品制造商的产品性能和性能一致性。