Presentation + Paper
21 October 2016 How to pass a sensor acceptance test: using the gap between acceptance criteria and operational performance
Author Affiliations +
Abstract
When acquiring a new imaging system and operational task performance is a critical factor for success, it is necessary to specify minimum acceptance requirements that need to be met using a sensor performance model and/or performance tests. Currently, there exist a variety of models and test from different origin (defense, security, road safety, optometry) and they all do different predictions. This study reviews a number of frequently used methods and shows the effects that small changes in procedure or threshold criteria can have on the outcome of a test. For example, a system may meet the acceptance requirements but not satisfy the needs for the operational task, or the choice of test may determine the rank order of candidate sensors.

The goal of the paper is to make people aware of the pitfalls associated with the acquisition process, by i) illustrating potential tricks to have a system accepted that is actually not suited for the operational task, and ii) providing tips to avoid this unwanted situation.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Piet Bijl "How to pass a sensor acceptance test: using the gap between acceptance criteria and operational performance", Proc. SPIE 9987, Electro-Optical and Infrared Systems: Technology and Applications XIII, 99870K (21 October 2016); https://doi.org/10.1117/12.2241792
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KEYWORDS
Imaging systems

Sensors

Performance modeling

Minimum resolvable temperature difference

Spatial frequencies

Visualization

Data modeling

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