Tracking Tourist Visits: A Computer Vision Approach using Amazon Rekognition for Data Processing and Analysis
Abstract
This research presents a novel approach for tracking tourist visits using computer vision technology and Amazon Rekognition for data processing and analysis. The proposed method aims to provide valuable insights into understanding tourist behavior, optimizing tourist destinations, and aiding tourism development strategies. The research methodology consists of three main stages: digital object capture, data processing, and information processing. Digital objects, represented by tourists, are captured through cameras strategically placed in the monitored area. The captured images are then sent to a server, where they undergo data processing. Utilizing Amazon Rekognition, the images are analyzed to identify the number of people in each image. The processed data is stored in a database, allowing for further analysis and retrieval. Information processing involves filtering the data based on time constraints and specific criteria, followed by calculations to generate meaningful insights. The obtained information is displayed in a web-based format, providing tourism destination managers with valuable reports and visualizations for decision-making purposes. The research contributes to the understanding of tourist behavior by utilizing computer vision technology and machine learning algorithms. It enables tourism destination managers to optimize resource allocation, enhance tourist experiences, and formulate effective tourism development strategies. The proposed approach offers potential for further integration with other technologies and the creation of a comprehensive monitoring and reporting system for tourist destinations.
- Discussion of the method of tracking the number of visits captured through CCTV cameras
- Discussion of the stages and steps in the process from capturing images to producing reports on the level of tourist visits
- Utilization of Computer Vision technology integrated with Amazon Rekognition.
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References
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