An Intelligent Object Detection and Measurement System Based on Trinocular Vision

Abstract

The 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 measurement 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 the depth information from different shooting angles, and the baselines between the cameras could be adjusted according to the different objects. In the measurement process, the target object was detected automatically based on the visual saliency features and spatial information. Finally, the size of the target object was computed by the 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.