Solar energy paper index
SOLAR-ASSISTED CLOUD-BASED MULTI-SENSOR SURVEILLANCE ROVER FOR REAL-TIME REMOTE MONITORING USING RASPBERRY PI 5
One-line summary
A solar energy research paper on SOLAR-ASSISTED CLOUD-BASED MULTI-SENSOR SURVEILLANCE ROVER FOR REAL-TIME REMOTE MONITORING USING RASPBERRY PI 5.
Engineering notes
Engineering notes will be added by the Power for Solar editorial team.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。
Original abstract
This paper presents the design and development of a Solar-Assisted Cloud-Based Multi-Sensor Surveillance Rover for real-time remote monitoring using Raspberry Pi 5.The proposed Unmanned Ground Vehicle (UGV) integrates multiple sensing and communication technologies, including a Raspberry Pi Camera Module, USB microphone, GPS NEO-6M receiver, RCWL-0516 radar motion sensor, metal detector module, and L298N motor driver.A Flask-based web application provides a centralized dashboard for rover control and monitoring, while Cloudflare Tunnel technology enables secure remote access over the internet without requiring public IP addresses or port forwarding configurations.The system supports live video streaming, real-time audio monitoring, GPS-based location tracking using Leaflet maps, radar-based motion detection, metal object detection, and remote motor control through a web browser interface.To enhance operational endurance, a solar-assisted charging subsystem comprising a photovoltaic solar panel, rechargeable battery, and charge controller is incorporated into the platform.The Raspberry Pi 5 coordinates sensor data acquisition, communication, and actuation processes while maintaining stable system performance.Experimental evaluation demonstrated successful integration and operation of all subsystems.The rover achieved stable real-time video streaming at 640 × 480 resolution, continuous audio transmission, GPS location updates at approximately one-second intervals, reliable radar and metal detection, and secure cloud-based accessibility.The solar charging subsystem contributed to extended operational duration during outdoor deployment.The results demonstrate that the proposed architecture provides a cost-effective, scalable, and energy-efficient solution for surveillance, environmental monitoring, security inspection, search-and-rescue missions, and future autonomous robotic applications.
Links and sources
Need this topic turned into a technical roadmap?
Power for Solar can prepare a custom solar energy literature review, simulation code map, dataset map, and B2B photovoltaic technology assessment.
Request B2B research
Comments