FPC-BTB detection and positioning system based on optimized YOLOv5

With the aim of addressing the visual positioning problem of board-to-board(BTB)jacks during the automatic assembly of flexible printed circuit(FPC)in mobile phones,an FPC-BTB jack detection method based on the optimized You Only Look Once,version 5(YOLOv5)deep learning algorithm was proposed in this study.An FPC-BTB jack real-time detection and positioning system was developed for the real-time target detection and pose output synchronization of the BTB jack.On that basis,a visual positioning experimental platform that integrated a UR5e manipulator arm and Hikvision industrial camera was built for BTB jack detection and positioning experiments.As indicated by the experimental results,the developed FPC-BTB jack detection and positioning system for BTB target recognition and positioning achieved a success rate of 99.677%.Its average detection accuracy reached 99.341%,the average confidence of the detected target was 91%,the detection and positioning speed reached 31.25 frames per second,and the positioning deviation was less than 0.93 mm,which conforms to the practical application requirements of the FPC assembly process.

The loop effects on the chargino decays _1~±→_1~0ff' in the MSSM

The lighter chargino three body decays_1~±→_1~0ff' via the W boson and the charged Higgs boson H± were studied in the R-parity conserved Minimal Supersymmetric Standard Model(MSSM).We treat _1~± decays as production and decay of W± and H±:i.e.,_1~±→_1~0W±(H±)→_1~0ff'.Both higgsinolike and wino-like^v1decays were well investigated.These decays are calculated at 1-loop level and the loop corrections are found to be less than three percent.The signal of the charged Higgs H production from^v1decays is discussed.It will offer important information about the chargino and neutralino sector,as well as the charged Higgs sector in the MSSM.