Design and Implementation of an Automated Shopping Companion for Elderly Support and Mobility Enhancement

抄録

The proposed system utilizes facial recognition technology to detect and track the user, eliminating the need for physical effort in pushing a shopping cart. Additionally, the robotic trolley is equipped with an ultrasonic sensor that estimates the distance walked by the user, providing them with valuable information about their physical activity levels during the shopping trip. The implementation of this system leverages the OpenCV computer vision library within the Python programming framework, enabling the integration of the facial recognition and distance estimation capabilities. Evaluation of the developed prototype has demonstrated significant improvements in the quality of life and independence of elderly individuals, as they can now navigate the shopping environment with greater comfort and ease. This innovative robotic shopping companion represents a promising solution to enhance the shopping experience for the aging population, addressing their unique needs and empowering them to maintain their autonomy, well-being, and public health during their daily activities.