In today’s scenario, the fastest algorithm which uses a single layer of convolutional network to detect the objects from the image is single shot multi-box detector (SSD) algorithm. This paper studies object detection techniques to detect objects in real time on any device running the proposed model in any environment. In this paper, we have increased the classification accuracy of detecting objects by improving the SSD algorithm while keeping the speed constant. These improvements have been done in their convolutional layers, by using depth-wise separable convolution along with spatial separable convolutions generally called multilayer convolutional neural networks. The proposed method uses these multilayer convolutional neural networks to develop a system model which consists of multilayers to classify the given objects into any of the defined classes. The schemes then use multiple images and detect the objects from these images, labeling them with their respective class label. To speed up the computational performance, the proposed algorithm is applied along with the multilayer convolutional neural network which uses a larger number of default boxes and results in more accurate detection. The accuracy in detecting the objects is checked by different parameters such as loss function, frames per second (FPS), mean average precision (mAP), and aspect ratio. Experimental results confirm that our proposed improved SSD algorithm has high accuracy.

Purpose: Based on the resource-based view and organizational capability theory, we examine the effect of information technology (IT) on company performance through supply chain integration (SCI) from the upstream and downstream perspective of the whole supply chain.Design/methodology/approach: Based on data collected from 296 cross-border e-commerce (CBE) companies in China, we used structural equation modeling with LISREL to test the conceptual model.Findings: The results show that supplier and customer IT significantly promote supplier and customer system and process integration. Supplier system and process integration enhance operational performance. Meanwhile, IT indirectly affects financial performance through operational performance. Customer system integration has positive effects on operational and financial performance, with an indirect effect on financial performance through operational performance. However, customer process integration only improves financial performance.Research limitations/implications: We only use cross-sectional data from Zhejiang province of China to investigate relationships of related constructs. Future studies can also use longitudinal data in combination with secondary data from other provinces, regions and countries.Practical implications: The results provide important managerial insights for CBE companies to sustain their competitive advantages by improving their performances through IT and SCI practices throughout the upstream and downstream data-driven supply chain.Originality/value: This study contributes to the IT and SCI literature by exploring the effectiveness of IT in improving SCI and company performance from the upstream and downstream perspective and the perspective of IT.