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


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.

  • I. Athanasiadis, A. Psaltis, A. Axenopoulos, P. Daras, "Efficient Fine-grained Object Detection for Robot-assisted WEEE Disassembly", in International Conference on Biomimetic and Biohybrid Systems, Freiburg, Germany, July 28-31, 2020.

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    Contact Information

    Dr. Petros Daras, Research Director
    6th km Charilaou – Thermi Rd, 57001, Thessaloniki, Greece
    P.O.Box: 60361
    Tel.: +30 2310 464160 (ext. 156)
    Fax: +30 2310 464164
    Email: daras(at)iti(dot)gr