Near-IR Sparse Detector Sensor for Intelligent Electronic Fence Applications

摘要

A proof-of-concept, active near-IR sensor coupled with a classification algorithm that uses the Mahalanobis distance has been shown to be a feasible approach for discriminating among humans, animals, and vehicles for intelligent electronic fence applications. Analysis shows that only a sparse vertical array of detectors is required to sense minimal features from moving objects for reliable discrimination.