Automatic Photography System for Adventure Parks Using Computer Vision

In adventure parks, it is often difficult to photograph visitors while they are crossing obstacles, due to the design of the tracks. Hiring professional photographers to take photos of visitors for social media can incur significant costs. Photographers would require safety equipment and designated locations as it would not be possible for them to stand on the tracks. The Adrenaline Eye project aims to achieve an automatic camera system for photographing adventure park visitors. Images are captured by track-mounted surveillance cameras and processed to recognize the numbers printed on the helmets of the riders. This number and the date of the visit associate the images with the participant. Customers can view a gallery of their pictures through a web application. The current paper presents the structure of the project, including its microservice-oriented architecture, its communication patterns and its application of machine learning elements.