Invasive Plant Detection
We built and fielded a dual-image multispectral, visible and NIR, capture and process system to detect weeds remotely. The system runs on a laptop. On trigger, two images from a single camera are collected and processed to highlight the existence of skeleton weed. The camera contains two sensors that share their view through a single lens keeping the two images perfectly aligned and reducing the computational complexity. The algorithm was developed in-house by Sensory Labs.