An Intelligent Object Detection and Measurement System based on Trinocular Vision

Existing size measurement systems cannot meet the requirements of non-contact measurement tasks, and the main challenge is how to detect various objects and improve measure accuracy. In order to solve these problems, a novel measurement system was proposed in this paper. In the system, a three-camera model with variable baselines was designed based on the trinocular vision. Three binocular vision subsystems were composed of the three cameras, which were used to obtain depth information from different shooting angles, and the baselines between cameras could be adjusted according to different objects. In measurement process, target object was detected automatically based on visual saliency features and spatial information. Finally, the size of target object was computed by cooperative analysis of the three binocular vision subsystems. The experimental results demonstrated that the proposed system is accurate and stable in various objects detection and measurement tasks.