To promote the development of the green energy industry in Taiwan, Shalun Smart Green Energy Science City was established in Guiren District, Tainan City, to expand the application and development of smart cities. The park's total area is 7.44 hectares, including the core area, commercial area, industrial R&D area, the southern campus of the Academia Sinica, and the residential area around the high-speed railway station. It has many researchers stationed, commuting office workers, and advanced precision instruments and R&D technologies. It is an important place for high-tech development, and the monitoring system needs to comply with cross-regional integration, data preservation, and image reliability.
(Photo taken by Ting Ting Cao, faxed from Tainan)
The installation scope covers public spaces such as the outer walls of the park, floor halls, fitness centers, parking lots, elevators, etc. Fuho is responsible for deploying more than 300 network cameras and several PC industrial-grade NVR to monitor the area. The divisions in the Science City have intensive labor and communication. In addition to improving video surveillance needs in each area, the central monitoring system (CMS) manages the images of different regions, reduces construction costs, and monitors staff.
The park uses a large number of high-tech instruments to pay special attention to the completeness of the data. The industrial grading NVR recorders can significantly reduce the risk of data loss by accident. It can fully grasp each monitoring link, such as the sudden occurrence of equipment in the park. The situation can also be dealt with as soon as possible.
Public events such as science competitions and various lectures are often held in the park, which requires an efficient managerial system to monitor the flow of people and vehicles. The introduction of license plate recognition management can fully automate entry and exit control, reduce personnel costs, simplify staff entry and exit process time, and master vehicle and driver’s information.
Corridors, halls, and other outdoor places use the license plate recognition special camera VIG-US731V-D6, which provides an ultra-high image resolution of 2560x1920 and stable FPS. It is equipped with a built-in infrared light with an effective range of 30 meters. It can still be used in dark places such as driveways. Clearly identify the license plate image. The latest H.265+ image compression technology can reduce the image size by up to 80% while maintaining excellent image quality. With powerful waterproof function, it can provide images stably regardless of whether it is installed indoors or outdoors. Therefore, this camera can also be used for environmental monitoring in the park.
Indoors and other enclosed public spaces use the VIG-DM751V dome network camera with a resolution of 2560x1920 and a stable FPS. The built-in hardware automatically detects errors and can record with long-term stability. VIG-DM751V can be integrated into any indoor surveillance space, such as shopping malls, banks, restaurants, offices, and various public areas.
Industrial-grade PC NVR BullsEye TBS has RAID 0,1,5,10 array technology, 8 hot-swappable SATA3 and SAS hard disk slots, and up to 64GB of memory. It is easy to install and has multiple alarms and system management functions. It can cope with various complex applications, giving enterprises the greatest storage convenience, safety, and flexibility in use.
CAGM can operate normally 24 hours a day regardless of the weather, and can accurately perform license plate recognition operations day and night, with an accuracy rate of more than 98%. Through AI technology, license plate recognition can be completed in 0.02 seconds. The park establishes a parking process through the black and white list of the license plate recognition system. When vehicles enter and exit, the identity of the car owner is checked. In addition to quickly understanding the participants and staff in the park, it can also avoid unauthorized intrusion by interested parties and reduce accidents.
CAGM can operate day and night continuously regardless of rain or shine. Its license plate recognition accurate rate is more than 98%. Through AI technology, license plate recognition can be completed in 0.02 seconds. The park establishes a parking process through the blocklist and allow list of the license plate recognition system. The identity of the car owner is checked when the vehicle enters and exits the park. In addition, quickly understanding the participants and staff in the park can also avoid unauthorized intrusion by interested parties and reduce accidents.
