با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
---|---|---|
1 |
Robotic retail surveying by deep learning visual and textual data
مرور خرده فروشی روباتیک با داده های دیداری و متنی یادگیری عمیق-2019 Autonomous systems for monitoring and surveying are increasingly used in retail stores, since they
improve the overall performance of the store and reduce the manpower cost. Moreover, an automated
system improves the accuracy of collected data by avoiding human-related factors. This paper presents
ROCKy, a mobile robot for data collection and surveying in a retail store that autonomously navigates
and monitors store shelves based on real-time store heat maps; ROCKy is designed to automatically
detect Shelf Out of Stock (SOOS) and Promotional Activities (PA) based on Deep Convolutional Neural
Networks (DCNNs). The deep learning approach evaluates visual and textual content of an image
simultaneously to classify and map SOOS and PA events during working hours. The proposed approach
was applied and tested on several real scenarios, presenting a new public dataset with more than
14.000 annotated shelves images. Experimental results confirmed the effectiveness of the approach,
showing high accuracy (up to 87%) in comparison with the existing state of the art SOOS and PA
monitoring solutions, and a signification reduction of retail surveying time (45%). Keywords: Robotic vision | Shelf out of stock | Deep learning | Real time localisation system | Autonomous store mapping |
مقاله انگلیسی |