Mobile phone component object detection algorithm based on improved SSD

作者：Zhe Huang, Zhenyu Yin, Yue Ma, Chao Fan, Anying Chai · 发表于：Procedia Computer Science · 年份：2021 · DOI：10.1016/j.procs.2021.02.037 · 被引用次数：22 · 研究领域：Advanced Neural Network Applications、Industrial Vision Systems and Defect Detection、Video Surveillance and Tracking Methods

Aiming at the problem of low accuracy of small object detection and poor system robustness in the detection of mobile phone component image targets, an improved SSD algorithm is proposed to detect mobile phone component image targets. This article proposes an algorithm, CSP-SSD(Cross Stage Partial SSD). By improving the network structure, using gradient flow information, using deconvolution and using multi-scale transformation, the traditional SSD algorithm is improved, so that it can better adapt to the detection task of mobile phone components. The test results show that when the image size is 300*300, the mAP of the algorithm reaches 78.9%. The proposed method has the characteristics of high detection accuracy for small objects.