A Generic Fast and Low Cost BIST Solution for CMOS Image Sensors

J. Lefevre, P. Debaud, P. Girard, A. Virazel
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引用次数: 1

Abstract

This paper demonstrates the generalization of a novel test solution embedded inside CMOS Image Sensors (CIS) to classify PASS/FAIL sensors during the test production phase. In [1], a Built-In Self-Test (BIST) solution was proposed to reduce the test time of a CIS, which can represent up to 30% of the final product cost. The major part of the test is dedicated to optical (i.e. image processsing) algorithms performed on the output images from the sensor under test with an Automatic Test Equipment (ATE). The BIST solution reuses these optical algorithms by simplifying and embedding them inside the sensor, to avoid a large amount of data storage and to limit the optical test time. First results on 4,800 output images from a package of sensors have shown a 99.95% correlation between results gathered from an ATE and those achieved with the proposed BIST, with a saving of approximately 30% in optical test time and a negligible area footprint. In this paper, to verify the effectiveness of the BIST solution on a wider set of different CIS (i.e., architecture, size and technology), we experimented the solution on a new database of 28,000 output images from a package of different sensors compared to the first package used in [1]. The BIST parameters have been configured to fit with the new type of sensors and results show a 99.64% correlation, which demonstrates the possible systematic implementation of the proposed BIST solution inside all CIS irrespective of their architecture and technology.
一种通用、快速、低成本的CMOS图像传感器BIST解决方案
本文演示了一种嵌入CMOS图像传感器(CIS)的新型测试解决方案的推广,用于在测试生产阶段对合格/不合格传感器进行分类。在[1]中,提出了一种内置自测(BIST)解决方案,以减少CIS的测试时间,这可能占最终产品成本的30%。测试的主要部分是专用于光学(即图像处理)算法,该算法使用自动测试设备(ATE)对被测传感器的输出图像执行。BIST解决方案通过简化和嵌入这些光学算法来重用这些光学算法,以避免大量数据存储并限制光学测试时间。对来自一组传感器的4800张输出图像的初步结果显示,从ATE收集的结果与使用提议的BIST获得的结果之间存在99.95%的相关性,节省了大约30%的光学测试时间,占地面积可以忽略不计。在本文中,为了验证BIST解决方案在更广泛的不同CIS(即架构,尺寸和技术)上的有效性,我们在一个新的数据库上实验了该解决方案,该数据库包含来自不同传感器包的28,000个输出图像,与[1]中使用的第一个包进行了比较。BIST参数已配置为适合新型传感器,结果显示相关性为99.64%,这表明无论其架构和技术如何,所提出的BIST解决方案都可以在所有CIS中系统实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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