This research has designed a 360-degree imagery-multisensor system aiming to capture and visualize environmental parameters in architecture and urban spaces.Unlike existing tools, this system enables simultaneous recording of both imagery and non-imagery environmental data, including lighting, thermal, air quality, sound, and physical space parameters, within a 360-degree field of view.Lighting conditions are captured using panoramic high dynamic range imagery, complemented Coffee by a 360-degree array of sensors measuring illuminance levels and spectral power distribution.
Thermal and air quality conditions are recorded using 360-degree thermal imagery, combined with hygrometers and air particle meters.Sound levels are also monitored across the full 360-degree field.The system is built using 3D printing technologies and Raspberry Pi computers, equipped with various sensor modules.
Custom Python scripts enable real-time data capture, processing, and visualization.This cost-effective, easy-to-manufacture, programmable, and customizable innovation is aimed at students and educators in design and architecture, as well as building engineers.Furthermore, integrating imagery and sensor data supports the development of immersive virtual L-PHENYLALANINE and augmented reality applications, offering new opportunities for education and the exploration of effective design solutions.