Large-scale intrusion detection with low-cost multi-camera wireless image sensors

We present a low-cost multi-camera wireless image sensor platform based on commercial off-the-shelf components implementing an intrusion detection mechanism for large-scale surveillance applications. We first show the performance of the image sensor then present how a criticality-based scheduling approach can be adapted and integrated into the image sensor platform taking into account the real hardware constraints and capabilities. We then demonstrate by simulating large-scale configurations that although hardware constraints limit the maximum intrusion detection rate per node, the usage of a low-cost multi-camera system provides much higher detection quality than denser single-camera system working at a higher image capture rate.