Video Surveillance System in Bank for Analysis of Sentiment, Objects and Crowd Detection using Deep Learning

Bank is using video cameras for the purpose of surveillance at many branches, ATM's and digital lobbies. Getting video analytics of different parameters from the video recording will help the bank to resolve many operational issues at the branches. The bank desires to explore video analytics for understand the customer sentiments, recognize the patterns /behaviors/movements in sure branches for proactive surveillance and provide better offerings to customers. The system can be utilized by banks, department shops, restaurants, schools, etc. The web based gadget takes video enter at a sure frequency and analyzes primarily based upon deep mastering algorithms and is expected to enhance the specificity and efficiency of information furnished at the portal. The average accuracy of the whole system is about 60–70 percentage including individual working and result of all algorithms.