Recent results of integrated sensing and processing using a programmable imaging sensor

The concept of Integrated Sensing and Processing (ISP) suggests that a sensor should collect data in a manner that is consistent with the end objective. Thus ISP seeks to minimize the collection of redundant data, reduce processing time and improve overall performance. A traditional approach designs the "best" sensor in terms of SNR, resolution, data rates, integration time and so forth, while traditional algorithms seek to optimize metrics such as probability of detection, false alarm rate, and class separability. The goal of ISP is to change this disjoint "sensing then processing" approach by allowing the algorithms to control the sensing parameters to collect the "best" information in order that the algorithm performs optimally.