Efficient Fine-grained Object Detection for Robot-assisted WEEE Disassembly

Abstract

In the current study, a region-based approach for object detection is presented that is suitable for handling very small objects and objects in low-resolution images. To address this challenge, an anchoring mechanism for the region proposal stage of the object detection algorithm is proposed, which boosts the performance in the detection of small objects with an insignificant computational overhead. Our method is applicable to the task of robot-assisted disassembly of Waste Electrical and Electronic devices (WEEE) in an industrial environment. Extensive experiments have been conducted in a newly formed device disassembly segmentation dataset with promising results.