Automated Human Following Trolley Using Image and Video Processing
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Abstract
In today's world, the trolleys are used in most places like a shopping mall, hospitals, colleges, etc., and everything is manually operated using their physical strength. This paper proposes an automated human following trolley using the image and video processing. The HSV value of the image taken from the camera will be calculated. If it matches the valid sticker's value, then the trolley will follow that person who has a specific sticker by maintaining a constant distance from that person. The distance estimation technique is used to calculate the distance between the user and the trolley. Background subtraction algorithm is used for recognition and detection purposes. The basic model of the following human trolley was designed, and it was tested under various lighting conditions and verified the correctness of background subtraction by keeping invalid stickers. The designed model was confined with a boundary like hospitals and shopping malls. The same approach with some improvements could be used in other fields like schools and colleges, libraries, agricultural fields, war fields, etc.
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