Design of An Automatic Follower Shopping Trolley Based on Image Processing

Abstract

In the era of industrial revolution 4.0, all human activities are replaced by machines. Humans are required to optimize brain function than muscle function. All human work is facilitated by robots or tools work automatically. For example, shopping activities in the modern market. Consumers prefer to shop in the modern market than the traditional market, because the items are complete, neatly arranged, and they have facilities like trolleys as transporters. Trolleys can be pushed and pulled easily. But when shopping, parents have a problem with pushing or pulling a trolley when they carrying their children. Therefore, we created a design for automatic follower shopping trolley based on image processing which can follow the consumers when shopping. This trolley has a webcam camera as a sensor to take pictures of the objects or special accessories that used by consumers. The result of data are processed in such a way and then it will be obtained the x and y coordinates positions of the consumer and the next data will be sent to the Raspberry Pi 3 which will automatically determine the movement of the trolley. The test results showed that the distance range detected between trolleys and consumers ranged from 0.5 meters to 2 meters, and trolleys can move according to the point where the object was detected. Thus, the trolley can follow the user well.

Color-Based Image Processing for Autonomous Human Following Trolley Robot Navigation with Camera Vision

“…The low speed of the trolley is 3.3 km/h, and it can stop within a distance of less than 100 cm. The focus of this research is to facilitate passengers in efficiently carrying large amounts of baggage, contribute to the development of baggage transportation at the airport, and enhance passenger experience while reducing fatigue for manual trolley users.. A study by Ananda et al, [4] discusses the development of an automated image processing and microcontroller-based robot trolley to enhance customer convenience in supermarkets. By integrating automation technology into conventional shopping carts, the research creates a trolley that can automatically follow user movements.…”