Autors: Dzhudzhev, B. P., Deliyski, R. C., Pandelova, A. L. Title: Influence of Environment Conditions on the Infra-Red Object Detection Sensor FC-51 Keywords: dust concentration, Infra-Red sensor, light direction, obstacle detectionAbstract: This paper presents analysis of influence of environment conditions on the IR flying fish object detection sensor FC-51 part of the MH-B series. The sensor was tested with different concentration of dust particles in the air in the range of 8-900 mg/m3 and constant light intensity and results show constant values of object detection. Additional experiments under constant dust concentration, variable light directions and no obstacle shows that the IR sensor faulty detects object based on the light intensity. The detection also depends on the light orientation. The FC-51 sensor output is modeled by binary logistic regression. References - M. Gundoan, T. Aksoy, A. Temizel, U. Halici, "IR Reasoner: Realtime Infrared Object Detection by Visual Reasoning", 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), DOI: 10.1109/CVPRW59228.2023.00048, 2023
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Issue
| 34th International Scientific Symposium Metrology and Metrology Assurance 2024, MMA 2024, 2024, , https://doi.org/10.1109/MMA62616.2024.10817663 |
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