A video surveillance system has become an integral part of the smart city infrastructure. However, it still lacks its utilization to the full potential. In this work, we present a case study in which a storage center surveillance data has been used to extract useful information automatically. A surveillance camera records the movement of trucks passing through a storage center gate where a clerk registers the truck-related data. This process is prone to suffer from inaccuracy, fraud, and loss. The challenge is to automate the data entry process through video such that the warehouse achieves a seamless and errorfree record-keeping. In this paper, we present a framework to use the surveillance video to extract useful information such as detection of trucks, their registration number/ownership identification, count of incoming and outgoing trucks, and count of loaded or empty trucks. We tested the work presented in this paper at the paddy storage centers in Chhattisgarh, India, and the results were very encouraging.
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