Application Specific Instrumentation (ASIN): A Bio-inspired Paradigm to Instrumentation using recognition before detection
This addresses the problem of high resource usage in instrumentation systems for specialized applications, though it appears incremental as it builds on existing paradigms with a novel fusion approach.
The paper tackles the problem of inefficient instrumentation by proposing Application Specific Instrumentation (ASIN), a bio-inspired scheme that fuses sensing and action into one step, resulting in good performance using low-resolution sensors and less computational overhead for specialized applications.
In this paper we present a new scheme for instrumentation, which has been inspired by the way small mammals sense their environment. We call this scheme Application Specific Instrumentation (ASIN). A conventional instrumentation system focuses on gathering as much information about the scene as possible. This, usually, is a generic system whose data can be used by another system to take a specific action. ASIN fuses these two steps into one. The major merit of the proposed scheme is that it uses low resolution sensors and much less computational overhead to give good performance for a highly specialised application